A manually-installed venv inside the cloned repo can be destroyed by the
agent running a relative-path command against its own checkout (rm -rf venv,
uv venv venv, etc.), silently wiping the running runtime mid-session. Moving
the canonical manual-install venv to ~/.hermes/venvs/hermes-dev means no
relative path from the agent's workspace resolves to its own runtime, making
the bug class impossible without any command-detection code.
Closes the root cause of #7779. The managed install.sh layout is unchanged.
The original cap held a process-global slot across the WHOLE vision
analysis (image load + encode + LLM call) with a default of min(CPUs, 4).
That serialized legitimate multi-image workflows — "compare these 6
screenshots", "read this 10-page scan", "analyze every frame" — behind a
4-wide gate, and on the native fast path it even throttled calls that make
no LLM request at all. Excess calls queued (blocking acquire, nothing
dropped), but the latency hit on real fan-out was the wrong tradeoff.
The incident was CPU exhaustion, not call count: concurrent base64/resize
bursts saturated every core and left none to service the shared event loop
serving /api/status. So cap ONLY that:
- A dedicated, bounded ThreadPoolExecutor (_vision_cpu_executor) runs the
encode/resize/dimension-check off the caller's loop, sized to the host's
usable core count with NO fixed ceiling — the cap tracks the actual
exhausted resource (cores), not a magic number. Excess encodes queue on
the executor; cores stay free for the loop.
- The LLM call is deliberately OUTSIDE the executor, so multi-image
workflows keep full request concurrency.
- Override via auxiliary.vision.max_concurrency / HERMES_VISION_MAX_CONCURRENCY
(honored verbatim, including above core count); sub-1 ignored.
- _vision_concurrency_slot() is now a no-op shim for back-compat.
Tests assert: resolver defaults to host cores with no ceiling; env/config
override (incl. above cores); sub-1 rejection; the executor is dedicated and
core-sized; encode runs on a vision-encode thread; and crucially that encode
bursts are bounded to the cap while the analyses themselves stay fully
concurrent (calls_peak > cap).
A single agent turn can fan out N vision_analyze calls at once — the
classic trigger is "analyze every frame of this video", where ffmpeg
explodes a clip into dozens of frames and the model calls vision_analyze
on each. Every call does a CPU-heavy base64-encode/resize burst AND holds
a long-lived LLM stream open. The tool executor runs concurrent tool calls
on a per-session ThreadPoolExecutor (_MAX_TOOL_WORKERS=8), and multiple
agent sessions share one process (the dashboard runs the agent in-process),
so there was no global ceiling. In prod (June 2026) a video-frame fan-out
pinned a worker thread at ~100% CPU and starved the shared asyncio event
loop that also serves the dashboard's /api/status liveness probe, flapping
the instance to UNHEALTHY even though nothing had crashed.
Add a process-global threading.BoundedSemaphore that bounds how many vision
analyses run concurrently across the whole process, held across the entire
analysis (image load + encode + LLM call) in the single _handle_vision_analyze
chokepoint (covers both the native fast path and the legacy aux-LLM path).
It is a threading semaphore, NOT asyncio: each vision call is dispatched
through model_tools._run_async on a per-thread event loop, so an asyncio
primitive bound to one loop cannot coordinate across them. The acquire is
offloaded via run_in_executor so waiting for a slot never blocks the calling
loop.
Default: min(host CPUs, 4), floored at 1 — respect the host's concurrency,
or lower. Override via auxiliary.vision.max_concurrency (config.yaml) or
HERMES_VISION_MAX_CONCURRENCY (env). Values < 1 are ignored so the cap can
never be disabled into an unbounded fan-out.
Tests: bounded-fan-out regression guard + a control proving it would fail
without the cap; resolver tests for host-cpu default, ceiling clamp, low-cpu
host, env override, and sub-1 rejection. Pre-existing handler tests updated
for the now-async _handle_vision_analyze. Verified via the real
registry.dispatch -> _run_async per-thread-loop path (16 concurrent calls,
peak bounded to cap).
Follow-up to the group-DM manifest fix. The manifest change only helps
NEW installs; existing apps keep their old (mpim-less) scopes until the
admin reinstalls. Since a missing message.mpim event delivers nothing
(no runtime API error to catch), detect stale installs at connect time
from the auth.test x-oauth-scopes header and log an actionable reinstall
nudge when im:history is granted but mpim:history is not. Also promote
message.mpim from Recommended to Required in the docs event tables so the
default setup path can't drop it.
Group DMs (multi-person DMs, channel_type=mpim) were never delivered to
the Slack bot. The adapter already classifies mpim as a DM and replies
ambiently (adapter.py:2526, is_dm = channel_type in {im, mpim}), but the
generated app manifest only subscribed to message.im / im:history — the
1:1 DM pair. Without the message.mpim event subscription Slack drops
group-DM messages before the adapter ever sees them, so 1:1 DMs worked
while group-DM ambient mode was dead.
Add message.mpim to bot_events and mpim:history (the scope that event
requires per Slack docs) + mpim:read (mirrors im:read for the
conversations.info classification call) to bot_scopes. Update the
SLACK_BOT_TOKEN / SLACK_APP_TOKEN setup-help strings and the Slack docs
(EN + zh-Hans: scope table, event table, troubleshooting) so existing
installs are told to add the new scopes and reinstall.
Reported by an enterprise customer. Note: this is a manifest/scope
change, so it only takes effect after the app is reinstalled and the
new scopes are accepted.
Tests: assert message.mpim + mpim:history + mpim:read are in the
manifest (with and without assistant mode); both fail on current main
and pass with this change.
The cron delivery table only showed Discord/Telegram with explicit
target syntax and described Slack and every other platform as
home-channel-only. In fact the generic platform:<target> routing in
_resolve_single_delivery_target resolves explicit targets for every
platform: Slack (#channel / channel ID / channel:thread_ts), Matrix
(room/user IDs), Feishu (chat:thread), WhatsApp (JID / E.164), Signal
(group / E.164), SMS, Email, and Weixin all have dedicated explicit-
target branches in _parse_target_ref; the remaining platforms accept a
generic platform:<chat_id> passthrough.
Update the Delivery Model table (en + zh-Hans) to show the real
per-platform syntax, document #channel name resolution via the channel
directory, and note the Slack thread_ts nuance. Docs-only.
`hermes serve` is newer than the desktop binary's release cadence, so a new
app launched against an un-upgraded managed install / PATH `hermes` would
crash on an unknown subcommand and brick the user mid-upgrade. Detect whether
the resolved runtime registers `serve` (fast source read of its dashboard.py,
with a one-time CLI probe fallback) and rewrite the backend argv to the legacy
`dashboard --no-open` only when it does not. Happy path (current runtimes)
pays nothing and still spawns `serve`.
- electron/backend-command.cjs: pure serve/dashboard argv helpers + serve-
source detection (unit-tested in backend-command.test.cjs)
- main.cjs: backendSupportsServe() cache + getBackendArgsForRuntime() guard at
both backend spawn sites; expose `root` from the Windows venv unwrap so the
fast source check covers Windows too
- docs: note the backward-compat fallback in README, desktop.md, AGENTS.md
The desktop app spawned `hermes dashboard --no-open` as its backend, which
made the dashboard look like a desktop prerequisite. Add a dedicated headless
`hermes serve` command that boots the same gateway (shared cmd_dashboard /
start_server) but never opens a browser, and point the desktop backend spawn
exclusively at it. dashboard and serve are now independent surfaces — neither
launches the other.
- subcommands/dashboard.py: factor shared server args; add `serve` parser
(always headless; accepts legacy --no-open as a no-op)
- main.py: register serve in _BUILTIN_SUBCOMMANDS + coalesce set + gui-log
detection; extend stale-backend reaper patterns to match `serve`
- desktop electron: spawn `serve`, rename dashboardArgs -> backendArgs,
update comments + windows-child-process test assertions
- docs: desktop README, desktop.md (incl. remote-backend), AGENTS.md, and
cli-commands.md now describe `hermes serve` as the desktop/headless backend
The desktop app spawns a headless `hermes dashboard --no-open` backend and
talks to it through the shared @hermes/shared WebSocket client — it never
runs or requires the browser dashboard UI. Spell this out in the desktop
README, the desktop docs page, and AGENTS.md so "dashboard" stops reading
as a desktop prerequisite.
* docs(discord): document bot-to-bot comms as unsupported (#32791)
Multi-profile bot-to-bot conversation is not a supported topology.
DISCORD_ALLOW_BOTS=none (the default) blocks all bot-originated
messages; setting mentions/all across multiple Hermes profiles to make
them reply to each other ack-loops because Discord's reply auto-mention
satisfies the mention gate every turn. Document the safe default and
the loop hazard so operators don't wire it up.
* docs(discord): infographic for bot-to-bot unsupported stance (#32791)
* docs: third-party-product plugins ship standalone, not into core tree
Generalizes the closed-set memory-provider policy to any plugin that
integrates someone else's product/project (observability backends,
vendor SaaS, analytics dashboards, paid-service tie-ins). These create
an open-ended maintenance burden on us for backends we don't own, so
they ship as standalone plugin repos installed into ~/.hermes/plugins/
and are promoted in #plugins-skills-and-skins — not merged into core.
- AGENTS.md: new 'what we don't want' bullet + generalized policy note
beside the memory-provider closed-set rule
- CONTRIBUTING.md: new 'Third-Party Product Integrations' section
- build-a-hermes-plugin.md: caution callout at the top of the guide
It's a coupling decision, not a quality bar — a plugin can clear review
and still be a close.
* docs: add infographic for standalone-plugin policy
Follow-up to the cherry-picked #29212 (#29177):
- Promote the 24h stale-process threshold to config.yaml
(session_reset.bg_process_max_age_hours) instead of a hardcoded
constant. 0 disables the cutoff (legacy: any live process blocks reset).
Wired through GatewayConfig.default_reset_policy in gateway/run.py.
- Bug 2: process(action=list) now resolves the gateway session_key from
the contextvar and surfaces session-scoped background processes (a
forgotten preview server under a different task), flagged
session_scoped — so the agent/user can discover and kill the blocker.
Previously the task-scoped list returned [] and the blocker was invisible.
- Tests: config round-trip for the new field, cross-task list visibility.
- Docs: messaging session-reset section.
The Discord adapter could enter a silent zombie state after a network
outage / proxy stall: the process is alive, _client looks open, but the
underlying socket is dead. discord.py's WebSocket reconnect never sees a
RST through a wedged proxy/NAT, so client.start() spins forever without
exiting — which means the bot-task done callback (which only fires on
task completion) never trips either. The bot stays "offline" in Discord
until a manual `hermes gateway restart`. Reported offline for 13-17h.
Adds an out-of-band REST liveness probe in DiscordAdapter. Every
`discord.liveness_interval_seconds` (default 60s) the adapter issues a
cheap fetch_user(bot_id) — the same REST path as message delivery, so it
fails when the proxy/NAT is wedged. After
`discord.liveness_failure_threshold` consecutive failures (default 3) the
probe closes the wedged client and surfaces a retryable fatal error,
which trips the gateway's existing _platform_reconnect_watcher and
rebuilds the adapter. Operators disable it by setting either knob to 0.
Config lives in config.yaml (discord.liveness_*) per the .env-is-secrets
policy; _apply_yaml_config bridges it to internal env vars the adapter
reads, matching the existing HERMES_DISCORD_TEXT_BATCH_* pattern.
Co-authored-by: Hermes Agent <agent@nousresearch.com>
A user-added systemd drop-in like ExecStopPost=/bin/kill -9 $MAINPID fires
on every stop, including clean restarts — it SIGKILLs the freshly spawned
gateway before it stabilizes and Restart=always respawns it, producing an
infinite restart loop (issue #23272). The unit Hermes installs already shuts
down cleanly via KillMode=mixed + KillSignal=SIGTERM with Restart=always +
RestartForceExitStatus, so no extra kill is needed. Document this as a danger
callout in the gateway service-management section.
HMAC validation authenticates the webhook sender, not the business
fields inside the payload (PR titles, commit messages, issue bodies),
which are authored by untrusted third parties. Expand the prompt-
injection section to make the trust boundary explicit: the agent's
capability surface, not the input channel. Document the hardening
levers (sandbox the runtime, scope the toolset, keep approvals on,
template narrowly) instead of pretending to sanitize untrusted text.
Refs #8820.
/moa no longer does a sticky model switch. It now always runs a single
prompt through the default MoA preset and restores the prior model
afterward; the whole argument is the prompt (no preset-name matching).
To switch to a MoA preset for the session, select it from the model
picker, where presets already surface under a virtual Mixture of Agents
provider on every model-selection surface.
Also fixes#53444: the TUI one-shot only set session[model_override],
which the already-built cached agent ignored, so MoA silently never ran
and the turn used the original model. The TUI now does a real in-place
agent.switch_model() via _apply_model_switch() when a live agent exists
(with a proper restore after the turn), and falls back to a model_override
for lazy/unbuilt sessions.
Removes the redundant sticky-switch branch from the CLI, gateway, and TUI
/moa handlers; updates the command description, usage string, and docs.
Add post_setup() and get_status_config() to the Supermemory memory
provider so `hermes memory setup` and `hermes memory status` print a
one-line connection summary (container, profile fact count,
auto_recall/auto_capture). Point API-key onboarding at the Hermes
connect URL (app.supermemory.ai/integrations?connect=hermes).
Salvage of #52988. Two fixes folded in:
- Test isolation: the new probe/status tests mocked _SupermemoryClient
but not the __import__("supermemory") guard inside
_probe_supermemory_connection, so they passed only where the optional
supermemory package was installed and failed on a clean checkout / CI
(the PR shipped with red CI). Added _stub_supermemory_importable()
mirroring the existing test_is_available_false_when_import_missing
pattern; the suite now passes with supermemory absent.
- post_setup: `if api_key and api_key not in os.environ` checked whether
the key's *value* named an env var (always false in practice). Fixed to
compare the value: `os.environ.get("SUPERMEMORY_API_KEY") != api_key`.
Verified: 38/38 in test_supermemory_provider.py and the full
tests/plugins/memory/ suite green with supermemory not installed.
Closes#52988
- Use os.pathsep instead of literal ':' so Windows paths (C:\dir) and
the Windows separator ';' work correctly.
- Add 9 tests covering multi-root behavior: writes inside first/second
root, writes outside all roots, trailing/leading/double separators,
all-separators edge case, static deny priority, duplicate dedup.
- Update hermes_cli/tips.py tip string to mention multiple paths.
- Update docs to mention os.pathsep / ; on Windows.
Follow-up for salvaged PR #49557.
Add a deprecation banner to the top of the dedicated Nix & NixOS setup
guide and consistency notes at the Nix sections of installation, updating,
and the plugin-distribution guide. Nix is now best-effort only; the
supported install paths are the curl|bash installer, Docker, and Windows.
* feat(kanban): typed block reasons + unblock-loop breaker
Stops the kanban blocked-task loop: a worker blocks a task, a cron
unblocks it, the worker re-blocks for the same reason, repeat forever.
block_task now takes a typed kind and a persistent block_recurrences
counter on the tasks table:
- kind=dependency routes to todo (parent-gated, auto-resumed), never
the human 'blocked' bucket a cron would keep unblocking.
- needs_input/capability/transient/untyped land in blocked; each
same-cause re-block after an unblock increments block_recurrences,
and at BLOCK_RECURRENCE_LIMIT (default 2) the task routes to triage
for a human instead of blocked.
- unblock_task no longer resets block_recurrences (the amnesia that
let the loop run unbounded); complete_task clears it on success.
Wired through the worker kanban_block tool (new kind arg) and the
hermes kanban block --kind CLI flag, both reporting where the task
actually landed. Docs + 11 new tests; 536 existing kanban tests green.
* test(kanban): make second-block notify test use a distinct block cause
test_notifier_second_blocked_delivers blocked the same task twice with
the same (untyped) reason, which now trips the new unblock-loop breaker
and routes the second block to triage instead of blocked — so only one
'blocked' notification fired. The test's actual intent is that TWO
distinct block cycles each notify; give the two cycles different kinds
(needs_input then capability) so they're genuinely separate blocks. The
same-cause loop→triage path is covered by test_kanban_block_kinds.py.
* feat(moa): expose MoA presets as selectable virtual models
Reconstructed onto current main (PR #46081's base had diverged with no common
ancestor, marking the PR dirty so CI never dispatched). MoA is now a virtual
provider: each named preset is a selectable model under provider 'moa', and the
preset's aggregator is the acting model that answers and calls tools.
Reference models fan out in parallel via a bounded ThreadPoolExecutor (the same
batch pattern delegate_task uses) — all references dispatched at once, collected
when every one finishes, then handed to the aggregator. Output order is
preserved, failures and the MoA-recursion guard stay isolated per reference.
- Removed the old mixture_of_agents model tool and moa toolset.
- Added moa as a virtual provider in the provider/model inventory.
- /moa is shortcut behavior over model selection (default preset / named preset
/ one-shot prompt).
- Dashboard + Desktop manage named presets; presets appear in model pickers.
- Parallel reference fan-out in agent/moa_loop.py with regression test.
* fix(moa): thread moa_config through _run_agent to _run_agent_inner
The reconstructed gateway MoA wiring declared moa_config on _run_agent (the
profile-scoping wrapper) and used it inside _run_agent_inner, but the wrapper
never forwarded it — _run_agent_inner had no such parameter, so the runtime hit
NameError: name 'moa_config' is not defined on the compression-failure session
sync path. Add moa_config to _run_agent_inner's signature and forward it from
both wrapper call sites (multiplex and non-multiplex). Caught by
tests/gateway/test_compression_failure_session_sync.py on CI shard test(4).
* fix(moa): classify moa as a virtual provider in the catalog
The moa virtual provider has no PROVIDER_REGISTRY/ProviderProfile entry, so
provider_catalog() fell through to the default auth_type="api_key" with no
env vars — tripping two catalog invariants:
- test_provider_catalog: api_key providers must expose a credential env var
- test_provider_parity: every hermes-model provider must be desktop-configurable
moa already declares auth_type="virtual" in HERMES_OVERLAYS; consult that
overlay as an auth_type fallback so the catalog reports moa as virtual (no real
credential, no network endpoint). Exempt virtual providers from the desktop
parity union check the same way 'custom' is exempt — derived from the catalog,
not a hardcoded slug, so future virtual providers are covered too.
Addresses review on #51077 (kxee). The continuable-cron mirror reused
gateway.mirror.mirror_to_session, which writes role=assistant — re-
introducing the exact alternation violation #2313 (37a997945)
deliberately removed: a cron brief landing as assistant after the
agent's last turn yields assistant->assistant, which breaks strict-
alternation providers (OpenAI/OpenRouter) per issue #2221. The mirror/
mirror_source metadata is also dropped at the SQLite boundary, so the
[Delivered from cron] label is lost on replay.
This is an intentional, opt-in (default OFF) reversal of #2313's
'cron output does not belong in interactive history' for the reply-to-
cron use case — gated behind cron.mirror_delivery / attach_to_session.
Fixes:
- mirror_to_session gains a role param (default 'assistant' — interactive
send_message mirror unchanged, it IS the agent speaking). Cron paths
pass role='user' with a '[Cron delivery: <task>]' prefix so the brief
collapses via repair_message_sequence's consecutive-user merge on every
provider, and stays distinguishable on replay despite the metadata drop.
- thread_seeded: defer seeding + the flag until delivery into the new
thread actually succeeds. Previously set pre-delivery, so an open-
succeeds / deliver-fails case both stranded a seeded-but-unseen brief
AND suppressed the DM-fallback mirror.
- seed mirror now passes user_id='system:cron' to resolve the exact
thread-keyed session row it just created.
- dedupe the duplicate BasePlatformAdapter import in _deliver_result.
- trim oversized docstrings to non-obvious WHY (AGENTS.md).
- docs: document cron.mirror_delivery / attach_to_session in
website/docs/user-guide/features/cron.md.
- test: assert the cron mirror writes role='user' with the label prefix.
204 cron+mirror tests pass.
* docs: stop recommending pip install hermes-agent; point to install script
The install script is the only supported install path (it provisions a
managed, isolated uv environment). Replace bare `pip install hermes-agent`
primary-install recommendations with the curl install script, and rewrite
optional-extra snippets (`pip install "hermes-agent[X]"`) to the managed-env
form `cd ~/.hermes/hermes-agent && uv pip install -e ".[X]"` that matches the
installer and the English quickstart.
Covers English docs + zh-Hans mirrors, the achievements plugin README, and
realigns the zh-Hans quickstart to the English Desktop-installer-first layout
(dropping its stale "Method A — pip (simplest)" section).
* docs: drop pip as a supported install/update method
Removes the 'pip installs' supported-method sections from updating.md and
cli-commands.md (EN + zh-Hans): the curl install script is the only supported
way to install/update the Hermes CLI. The _cmd_update_pip pip/pipx branches
remain in code as an undocumented safety net for users who already have such an
install, but the docs no longer advertise pip as a path.
Also normalizes a bare `pip install -e '.[acp]'` to the managed-env form.
Leaves python-library.md untouched: importing AIAgent as a library dependency
into your own project is a distinct use case where pip is correct.
Users who inspect ~/.hermes/sessions/sessions.json see only gateway entries
(e.g. agent:main:whatsapp:dm:...) and mistake it for the session index that
hermes sessions list / /sessions read — which is actually state.db. Issue
#49361 reported CLI sessions as 'invisible' on this premise.
- gateway/session.py: write a self-documenting _README sentinel at the top of
sessions.json explaining it's the gateway routing index and that ALL sessions
(CLI/TUI/gateway) live in state.db; skip _-prefixed keys on load so the
sentinel never round-trips into a SessionEntry.
- Harden every sessions.json reader against the sentinel: mcp_serve loader,
gateway/mirror.py, gateway/channel_directory.py all skip _-prefixed keys.
- docs/user-guide/sessions.md: warning callout naming the exact symptom.
- tests: assert prune ignores metadata sentinels; add round-trip coverage.
The 30-slot default could not fit Hermes's ~50 built-in commands, so
every skill command (and 20 built-ins) were silently dropped from the
Telegram \`/\` menu by default — they only worked when typed manually.
Raising the default to 60 keeps all built-ins plus common skill commands
visible out of the box while staying under Telegram's ~4KB payload limit.
Users can still tune it via platforms.telegram.extra.command_menu.
Adds a configurable Telegram BotCommand menu cap and priority list via
platforms.telegram.extra.command_menu (max_commands clamped 1..100;
priority_mode prepend|append|replace). Default cap stays 30; hidden
commands remain invokable when typed and /commands lists the full set.
Salvaged from PR #42021. Cherry-picked onto current main; the original
edited gateway/platforms/telegram.py, now relocated to
plugins/platforms/telegram/adapter.py.
Open-ended skill learning across every surface. /learn <free text> takes a
description of any source — a directory, a URL, the workflow you just walked
the agent through, or pasted notes — and the live agent gathers it with the
tools it already has (read_file/search_files, web_extract, the conversation,
the pasted text), then authors a SKILL.md via skill_manage following the
house authoring standards (<=60-char description, the standard section order,
Hermes-tool framing, no invented commands).
No engine, no model-tool footprint, works on any terminal backend (local,
Docker, remote): /learn builds a standards-guided prompt and hands it to the
agent as a normal turn.
- agent/learn_prompt.py: shared standards-guided prompt builder
- /learn registry entry (both surfaces) + CLI handler (inject onto input
queue) + gateway handler (rewrite turn, fall through, /blueprint pattern)
- tui_gateway command.dispatch returns a send directive -> TUI + dashboard chat
- dashboard Skills page 'Learn a skill' panel (dir + URL + open-ended text)
composes a /learn request and runs it in chat
- docs (slash-commands ref + skills feature page), 11 targeted tests
Inspired by OpenAI Codex's Record & Replay and the /learn concept from #47234
(dir-distillation engine); reworked to be open-ended and engine-free per
review.
A Medium-integrity Hermes agent cannot drive High-integrity (admin)
windows on Windows — UIPI blocks UIA enumeration and mouse injection
(SOM returns 0 elements, clicks silently no-op, screenshots still work,
keyboard partially bypasses). OS constraint affecting every Windows
automation stack, not a cua-driver bug. Document the symptom + the
run-elevated workaround. Closes#49067.
* feat(memory): OAuth token storage and refresh for the Honcho provider
* feat(memory): refresh the Honcho OAuth token in the client and session
* feat(memory): zero-CLI loopback OAuth authorization flow
* feat(memory): generic memory-provider OAuth connect endpoints
* feat(desktop): memory-provider OAuth connect link
* feat(memory): CLI OAuth sign-in with source-tagged authorize links
* fix(memory): IP-literal loopback redirect and consent config_path on the authorize link
* fix(memory): profile-scope the memory-provider OAuth endpoints
* refactor(desktop): generic memory-provider OAuth client functions
* docs(memory): trim OAuth module docstrings to the invariants
* docs(memory): document OAuth connect as an optional auth method
* fix(memory): send home-relative display path to consent, not the absolute path
* perf(memory): cache OAuth token expiry in memory to skip the hot-path disk read
* fix(memory): log OAuth refresh failures at warning, not debug
* feat(memory): fall back to an OS-assigned loopback port when 8765 is taken
* test(memory): cover the desktop Connect launcher, status, and provider dispatch
* fix(desktop): keep the memory-provider dropdown one size regardless of connect state
* fix(desktop): move the memory connect link to the description line, leaving the dropdown untouched
* refactor(memory): move OAuth connect routes out of web_server into a memory-layer router
* refactor(desktop): import MemoryConnect directly, drop the single-export barrel
* fix(memory): launch CLI OAuth sign-in right after the auth choice, not after the wizard
* fix(desktop): auto-clear the OAuth error state instead of leaving it sticky
* test(honcho): isolate auth-method prompt from deployment-shape wizard tests
main's wizard suite scripts the cloud prompts without the OAuth auth-method step; auto-answer it in the shared helper so the answer lists stay shape-only.
* docs(honcho): document query-adaptive reasoning level (reasoningHeuristic)
README never mentioned reasoningHeuristic and listed reasoningLevelCap as an orphaned cap with the wrong default (— vs "high"). Add the query-adaptive scaling note + the reasoningHeuristic/reasoningLevelCap rows (grouped under Dialectic & Reasoning), matching the wording already on the hosted honcho.md page, and add a pointer from the memory-providers overview.
* fix(honcho): default the CLI peer prompt to the OAuth consent name
The CLI runs the grant with apply_config=False, so the peerName the user just entered at consent was dropped and the wizard's 'Your name' prompt fell back to $USER. Surface it as a transient OAuthCredential.consent_peer_name (set even when config isn't merged) and seed the prompt default from it.
* feat(honcho): split OAuth client_id by surface (cli=hermes-agent, desktop=hermes-desktop)
resolve_endpoints now picks the client_id from the initiating surface and
threads it through authorize -> token exchange -> persisted grant -> refresh,
so the CLI and desktop register as distinct OAuth clients. Surface-specific
env overrides (HONCHO_OAUTH_CLIENT_ID_CLI/_DESKTOP) win over the generic
HONCHO_OAUTH_CLIENT_ID, which still overrides every surface.
* feat(honcho): show OAuth vs API key in status; detect existing OAuth in setup
status now prints 'Auth: OAuth (clientId, token valid Xm/expired)' instead of
masking the OAuth access token as a generic API key; setup notes an existing
OAuth grant when re-run.
* docs(honcho): drop 'shared pool' wording from unified observation mode help
* fix(honcho): cross-process lock around OAuth refresh to prevent grant revocation
The in-process threading lock can't stop a sibling process (another profile or
the desktop app sharing honcho.json) from replaying the single-use refresh
token and tripping reuse-detection, which revokes the whole grant. Guard the
read-refresh-persist section with an OS file lock on <config>.lock so only one
process rotates at a time; the others re-read the freshly-persisted token.
Best-effort: platforms without flock degrade to in-process serialization.
* refactor(honcho): one OAuth client (hermes-agent) for all surfaces
Collapse the per-surface client_id split. CLI and desktop now use a single
client_id (hermes-agent); consent branding/UI still adapt via the source query
param. One grant identity means no clientId-vs-refresh-token desync that could
get the grant revoked. HONCHO_OAUTH_CLIENT_ID still overrides for self-hosting.
* fix(honcho): per-session resolves to session_id, never remapped by title
Reorder resolve_session_name so stable identifiers win over labels: gateway
per-chat key first, then the per-session session_id, then the cwd map / title.
A (possibly auto-generated) title can no longer remap a live per-session
conversation onto a second Honcho session mid-stream — fixes the desktop, which
is per-conversation via session_id. Consequence: a gateway's per-chat key now
also wins over a title (titles never remap a stable id).
Adds auxiliary.background_review.{provider,model} (default auto = main chat
model — unchanged). Set it to a different, cheaper model and the post-turn
self-improvement review runs there for ~3-5x lower cost.
Cache-aware by design: the main chat is warm in the prompt cache, so the
default full-history replay on the main model is cheap cache reads — left
exactly as-is. A different model can't reuse that cache (different key), so
when (and only when) routed to a different model the fork replays a compact
digest instead of the full transcript, minimising what it cold-writes on the
aux model. Same model -> full replay; different model -> digest.
Quality holds in benchmarks: memory capture identical, skill near-identical.
Nothing changes unless you opt in by naming a different model.
Co-authored-by: Hermes Agent <noreply@nousresearch.com>
An unpinned cron job follows the global default provider (config.yaml
model.default + resolve_runtime_provider). If that global state is changed
after the job is created — e.g. a temporary switch to a paid provider like
nous/claude-fable-5 — the job silently inherits it on its next tick and spends
real money. This is the reported $7.73 incident: a job created under a
free/default provider later inherited a temporary paid switch.
Fix (ask #1 only) preserves the legitimate "unpinned job should follow
model.default" use case by detecting *drift* rather than freezing the model:
- create_job (cron/jobs.py): for UNPINNED, agent-backed jobs (no explicit
provider, not no_agent), snapshot the provider that resolution WOULD pick
right now into a new optional `provider_snapshot` field, resolved via the
same resolve_runtime_provider() path the ticker uses. Fail-open to None on
any resolution error so job creation never breaks.
- run_job (cron/scheduler.py): right after runtime resolution, if the job has
a provider_snapshot AND is unpinned AND the currently-resolved provider
DIFFERS from the snapshot, fail closed for that run — make no paid call and
deliver a loud, actionable alert naming both providers and telling the user
to pin explicitly (`cronjob action=update job_id=.. provider=..`).
Back-compat: jobs with no snapshot (pre-existing jobs, no_agent jobs, or any
job whose creation-time resolution failed) behave exactly as before — the
guard only engages when a snapshot exists. Explicitly-pinned jobs (job.provider
set) are unaffected since they don't drift with global state.
Tests: tests/cron/test_cron_provider_pin.py covers snapshot-matches (runs),
snapshot-differs (fail closed, no agent constructed), no-snapshot back-compat,
None-snapshot back-compat, explicitly-pinned (runs regardless), plus create_job
snapshot capture/skip/fail-open. The fail-closed case is load-bearing (fails
without the guard).
Issue #44585 asks #2-4 (hard-stop a running job, gateway-stop containment,
fail-closed on provider mutation) are out of scope for this change.
Adds an optional structured completion contract to the standing-goal loop,
adapted from OpenAI Codex's /goal guidance (a durable objective works best
when it names what done means, how to prove it, what not to break, what's in
scope, and when to stop).
A contract has five optional fields — outcome, verification, constraints,
boundaries, stop_when. When set, the continuation prompt tells the agent to
target the verification surface and respect constraints, and the judge marks
the goal done only when the verification criterion is met with concrete
evidence (command result, file excerpt, test output) instead of a loose
"looks done" claim. This tightens the most common /goal failure mode:
premature completion / endless over-continuation on an underspecified goal.
Two ways to set a contract, both backward compatible (bare /goal <text>
behaves exactly as before):
- /goal draft <objective> — expands plain text into a full contract via the
goal_judge aux model (cache-safe side call), falls back to a free-form goal
if the model is unavailable.
- /goal <text> with inline 'field: value' lines (verify:, constraints:,
boundaries:, stop when:, ...). Plain goals with an incidental colon are not
mangled — only known field prefixes are pulled out.
- /goal show prints the active contract.
Contracts persist in SessionDB.state_meta alongside the goal (survive /resume),
compose with /subgoal criteria, and old goal rows load unchanged. CLI + every
gateway platform via the shared GoalManager engine; zero new model tools.
Tests: +18 in tests/hermes_cli/test_goals.py (parse/serialize/judge-prompt/
draft/fallback), 73/73 green; 42/42 across the broader goal test surface;
live E2E roundtrip (set -> persist -> reload -> contract-aware prompts) green.
* feat(computer_use): disable cua-driver telemetry by default, add opt-in
cua-driver ships anonymous PostHog usage telemetry ENABLED by default
upstream (fires cua_driver_install / cua_driver_doctor events to
eu.i.posthog.com). Hermes now disables it for our users unless they
explicitly opt in.
- New config key `computer_use.cua_telemetry` (default false) in
DEFAULT_CONFIG.
- `cua_backend.cua_driver_child_env()` injects
`CUA_DRIVER_RS_TELEMETRY_ENABLED=0` into the child env when telemetry is
disabled (the default); leaves the var untouched on opt-in so the driver
uses its own default. Reads config fail-safe — any error defaults to
telemetry off.
- Routed every cua-driver spawn site through the policy: MCP backend
(StdioServerParameters env), `cua_driver_update_check`, doctor's
health_report Popen, the install.sh/install.ps1 runner, and the
`--version` / status probes.
- Docs: new Telemetry subsection in computer-use.md (EN).
- Tests: tests/computer_use/test_cua_telemetry.py — default disables,
explicit-false disables, opt-in leaves var untouched, config-failure
fails safe, inherited-enabled is overridden off.
Verified live on Linux against the real cua-driver-rs 0.6.0 binary: with
the var=0 the driver reports "telemetry: disabled via
CUA_DRIVER_RS_TELEMETRY_ENABLED" and sends no event; with it unset it logs
"sending event: cua_driver_doctor". 213 computer_use + install tests green.
* fix(dashboard): fold computer_use config category into agent tab
The new computer_use.cua_telemetry key created a single-field dashboard
config category, tripping test_no_single_field_categories (web_server's
invariant that categories with <2 fields must be merged to avoid tab
sprawl). Add computer_use -> agent to _CATEGORY_MERGE, matching the
existing onboarding/telegram single-field folds.
Make the computer_use toolset platform-agnostic by driving cua-driver on
macOS, Windows, and Linux. Consumes the 8 cua-driver decoupling surfaces
(capability discovery, structuredContent AX tree, opaque element_token,
click button enum, explicit mimeType, machine-readable manifest,
structured list_windows, structured health_report), each degrading
gracefully on older drivers.
Adds `hermes computer-use doctor` (drives cua-driver health_report with a
per-OS check matrix and an exit 0/1/2 ok/degraded/blocked contract), full
typed wrappers for the previously-uncovered cua-driver tools plus a generic
call_tool escape hatch, per-session agent-cursor lifecycle, platform-aware
system-prompt guidance (host-deterministic, cache-safe), and honors
HERMES_CUA_DRIVER_CMD end-to-end.
Replaces the macOS-only skills/apple/macos-computer-use skill with a
cross-platform skills/computer-use skill, and refreshes the EN + zh-Hans
docs.
Supersedes #44221 (Windows-enablement salvage of #30660).
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
* feat(goals): add /goal wait <pid> barrier to park the loop on a background process
The /goal loop re-pokes the agent every turn via the post-turn judge. When a
goal is gated on a long-running background process (CI poller, build, test
matrix, deploy) that produces nothing to judge yet, this spins the agent into
'is it done?' busy-work and burns the turn budget.
/goal wait <pid> [reason] parks the loop: while the PID is alive, the judge is
skipped, no turn is consumed, no continuation fires, and /goal status shows a
parked indicator. The barrier auto-clears the moment the process exits (the
agent's notify_on_complete watcher is the natural wake signal), then the next
turn resumes normal judging. /goal unwait clears it manually; pause/resume/clear
drop it; a dead/stale PID can never wedge the loop.
Wired across CLI, gateway, and the mid-run command guard for parity. Barrier
persists in SessionDB.state_meta (survives /resume); GoalState gains
backward-compatible waiting_on_pid/waiting_reason/waiting_since fields. 12 new
tests; docs updated.
* fix(goals): use gateway.status._pid_exists for liveness, not os.kill(pid,0)
The Windows-footguns CI guard flagged os.kill(pid, 0) in _pid_alive — on
Windows that's not a no-op, it routes to CTRL_C_EVENT and hard-kills the
target's console process group (bpo-14484). Delegate to the canonical
footgun-safe gateway.status._pid_exists (psutil + ctypes/POSIX fallback)
instead, with a direct-psutil last resort.
* feat(goals): judge-driven auto-wait — the loop parks itself, no manual /goal wait
Makes the wait barrier automatic. Every turn the judge is shown the agent's
live background processes (pid, command, uptime, output tail from the
process_registry) alongside the goal + response, and can return a new 'wait'
verdict instead of continue:
{"verdict":"wait","wait_on_pid":N} → park until that process exits
{"verdict":"wait","wait_for_seconds":N} → park until the deadline passes
evaluate_after_turn acts on the directive (sets the barrier, parks the loop)
so the agent isn't re-poked into busy-work while CI/builds/deploys run. Adds a
time-based waiting_until barrier alongside the pid barrier; both auto-clear and
can never wedge the loop. Drivers (CLI, gateway, tui_gateway) feed the live
registry in via gather_background_processes(). Manual /goal wait stays as an
override. Judge verdict contract widened to (verdict, reason, parse_failed,
wait_directive); legacy {"done":bool} shape still accepted.
* test(goals): update kanban _fake_judge to the 4-tuple judge contract
CI test(3) caught it: test_kanban_goal_mode's _fake_judge still returned the
3-tuple (verdict, reason, parse_failed), but the kanban loop now unpacks the
4-tuple (+ wait_directive). Update the fake to return None for the directive
and accept the background_processes kwarg.
* feat(goals): trigger-based wait — park on a process's own signal, not just exit
Addresses two gaps in the judge-driven wait: (1) the judge could only express
'wait until PID exits' or 'wait N seconds', so a long-lived watcher/server that
fires a trigger MID-RUN (and may never exit) couldn't be waited on; (2) the
process's own watch_patterns/notify_on_complete trigger was invisible to the judge.
Adds a session-based barrier (waiting_on_session) that releases on the process's
OWN trigger via process_registry.is_session_waiting(): the session exits, OR (if
started with watch_patterns) its pattern matches — even while the process keeps
running. list_sessions() now surfaces session_id + watch_patterns/watch_hit/
notify_on_complete so the judge sees the trigger and is told to prefer
wait_on_session for trigger processes. Judge verdict gains a {wait_on_session}
directive (preferred over pid). Backward-compatible GoalState field; pid + time
barriers unchanged.
Tests: TestSessionTriggerBarrier (release on mid-run pattern match while alive,
release on exit, unknown-session, full park→trigger→resume, parse, validation,
backcompat load). 105 goal-surface + 85 process_registry tests green.
* fix: update to version 3 endpoints and adding update and delete tool
* chore: removing the test md file
* fix: prevent circuit breaker on client errors in Mem0 provider
* chore: add telemetry for platform version
* feat: add OSS mode support to Mem0 memory provider
* chore: bump mem0ai dependency to >=2.0.1 in memory plugin
* refactor: enhance dependency checks and embedder config in mem0 backend
* refactor: adjust fact storage message for OSS mode
* refactor: expand user paths, add collection recreation on dimension change for Qdrant
* fix(mem0): make MEM0_USER_ID override gateway-native ids and tag writes with channel
When MEM0_USER_ID was configured (env or mem0.json), the gateway-native id
from kwargs (Telegram numeric id, Discord snowflake, ...) still won, so the
same human ended up under different user_ids per channel and memories never
merged across CLI / Telegram / Slack / Discord. Mirrors openclaw's cfg.userId
pattern: configured override wins, gateway-native id is the fallback.
The legacy "hermes-user" placeholder default written by the setup wizard is
treated as unset to avoid silently bucketing every gateway user together.
Also tag every write with metadata.channel (cli/telegram/discord/...) so the
dashboard can offer per-channel filtered views without coupling identity to
the channel; document the read/write filter asymmetry as intentional
(reads scope to user_id only for cross-agent recall).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: improve Mem0 memory provider backend, pagination, config, and error handling
* refactor: update mem0 telemetry code, docs, and bump version
* fix(mem0): make get_config_schema() return unified schema with mode-aware required flag
Schema always includes api_key field so picker shows "API key / local" for
both modes. In OSS mode api_key.required=False so status won't mislead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: improve mem0 telemetry, add env var key and OSS mode detection
* chore: bump mem0ai lower bound to 2.0.4 (latest SDK release)
* refactor: set telemetry sample rate to 1.0 and update docs for opt‑out
* fix(mem0): resolve 15 correctness, thread-safety, and resource bugs
Thread safety:
- Protect circuit breaker counters with _breaker_lock (race between
prefetch/sync daemon threads and main thread)
- Wrap sync_turn thread creation in _sync_lock; skip if previous sync
is still alive after 5 s join to prevent duplicate memory ingestion
- Guard _schedule_flush timer creation under _queue_lock (TOCTOU race)
- Capture local `backend` reference in prefetch/sync closures so
shutdown() nulling self._backend cannot crash in-flight threads
Correctness:
- Fix bool("false")==True for rerank param; parse string values explicitly
- Guard page/top_k with max(1,...) and move int() inside try blocks
- Fix fact_count=0 always in OSS mode (Memory.add returns list, not dict)
- Fix prefetch() not clearing result when thread still alive after timeout
- Fix atexit.register accumulating on repeated initialize() calls
Backend / setup:
- Handle Qdrant named-vector collections in _recreate_collection_if_dims_changed
(vectors is a dict; .size access raised AttributeError, swallowed silently)
- Wrap QdrantClient and psycopg2 conn/cursor in try/finally to prevent leaks
- Resolve ollama_bin at top of _ensure_ollama; use it for ollama pull
- Fix embedder key lookup when LLM provider has no env_var (e.g. ollama)
Also: remove _telemetry_enabled cache (env var check is cheap), bump
required mem0ai to >=2.0.7, minor README wording fix.
* fix(mem0): fix brittle qdrant path test + add telemetry sample-rate docs
- Replace generator-throw lambda with a proper def in
test_qdrant_path_not_writable; use tmp_path instead of a hardcoded
/nonexistent path so the test is root-safe
- Add MEM0_TELEMETRY_SAMPLE_RATE to memory-providers.md (was only
in the plugin README, not the user-guide docs)
* revert: remove MEM0_TELEMETRY_SAMPLE_RATE from user-guide docs
* refactor: remove telemetry from mem0 plugin and update documentation
* fix(mem0): set stdin=DEVNULL on setup subprocess calls
The TUI stdin guard (scripts/check_subprocess_stdin.py) requires every
subprocess call in plugin code to set stdin= so it can't inherit the
gateway's JSON-RPC stdin fd. Muzzle the docker/ollama calls in the OSS
setup wizard with stdin=subprocess.DEVNULL (none need interactive input).
Also covers the docker-inspect call the linter's regex misses.
---------
Co-authored-by: chaithanyak42 <chaithanya.kumar42a@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Defense-in-depth for the dashboard plugin auto-import path. The web server
auto-imports and mounts the Python backend (dashboard/manifest.json -> api file)
of plugins found in ~/.hermes/plugins/ (user) and ./.hermes/plugins/ (project),
not just bundled plugins. So any plugin that reaches one of those dirs gets
arbitrary Python executed on the next dashboard start.
NOTE ON THREAT MODEL: #43719's originally-documented delivery chain (a public
--insecure dashboard + open API used to git clone a malicious repo into
~/.hermes/plugins/) is ALREADY mitigated on main — since the June 2026
hermes-0day hardening, a non-loopback bind ALWAYS requires an auth provider and
--insecure no longer bypasses the auth gate. This change is therefore NOT
closing that (now-authenticated) network path; it removes the residual
'arbitrary code executes merely because a plugin is on disk' hazard, which still
applies when a plugin arrives by other means: a socially-engineered git clone,
a supply-chain drop, an authenticated-but-malicious actor, or a future
regression in the auth gate. Untrusted on-disk code should not auto-execute.
Restrict dashboard backend Python auto-import to BUNDLED plugins only. User and
project plugins may still extend the dashboard UI via static JS/CSS, but their
api Python file is never auto-imported. Two layers: _discover_dashboard_plugins
scrubs api/_api_file for user/project sources (and bundled wins name conflicts
so a non-bundled plugin cannot shadow a trusted backend route);
_mount_plugin_api_routes re-refuses user/project at mount time. Tightens the
prior GHSA-5qr3-c538-wm9j / #29156 hardening (bundled+user) to bundled-only.
Salvaged from #44472 (@egilewski) onto current main.
