* 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>
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.
Authorization to message the agent is the gate, not the file extension.
Previously the inbound-attachment allowlist (SUPPORTED_DOCUMENT_TYPES) was
opt-OUT on Discord (allow_any_attachment defaulted false) and had no bypass
at all on Telegram/Slack — so an .html (or any non-allowlisted type) was
dropped or hard-rejected before the agent saw it.
Now every authorized upload is cached and surfaced to the agent regardless
of type:
- base.cache_media_bytes(): unknown types cache as octet-stream (or the
caller-supplied MIME) instead of returning None — fixes the chokepoint
that Teams/Telegram-media route through.
- discord/telegram/slack adapters: removed the allowlist reject/skip; any
non-media attachment is typed DOCUMENT and cached. Known types keep their
precise MIME.
- Text inlining now gates on a shared _TEXT_INJECT_EXTENSIONS set (text +
code + config + markup) instead of a blind UTF-8 decode, so binary formats
(PDF/zip/docx) with ASCII headers are never inlined.
- gateway/run.py emits the path-pointing context note for every DOCUMENT,
including non text/application MIME types.
- discord.allow_any_attachment is now a documented no-op kept for config
back-compat.
Validation: 357 gateway tests pass; E2E confirms .html/.bin/custom types
cache, known types stay precise, PDFs are not inlined.
When `hermes dashboard --host 0.0.0.0` is run interactively with the auth
gate engaged but no DashboardAuthProvider configured, prompt to set up the
bundled username/password provider on the spot (or point at `hermes dashboard
register` for OAuth) instead of only emitting the fail-closed error.
- main.py: `_maybe_setup_dashboard_auth_interactively()` runs before
start_server. No-ops on loopback binds, when a provider is already
registered, or when stdin/stdout isn't a TTY (Docker/s6, CI, piped runs) so
the fail-closed SystemExit stays the backstop for unattended deploys. On the
password path it writes dashboard.basic_auth.{username,password_hash,secret}
to config.yaml (scrypt hash, never plaintext), then force-rediscovers
plugins so the basic provider registers before the gate check.
- web_server.py: fix the fail-closed hint — it told operators to set
`dashboard_auth.basic.username` but the provider reads `dashboard.basic_auth`.
- docs: note the interactive setup under Fail-closed semantics.
No new env vars; reuses the existing dashboard.basic_auth config surface.
Sibling-site follow-up to the AGENTS.md token-lock fix (#50481). Platform
adapters migrated from gateway/platforms/<name>.py to
plugins/platforms/<name>/adapter.py; a handful (signal, weixin, bluebubbles,
qqbot, yuanbao, msgraph_webhook, webhook, api_server) still live in
gateway/platforms/.
- adding-platform-adapters.md: new-adapter creation path + reference-impl table
- gateway-internals.md: rewrite the adapter tree to reflect the actual split
- zh-Hans mirrors of both kept in parity
- scripts/release.py: add TutkuEroglu to AUTHOR_MAP (CI gate)
* feat(providers): remove google-gemini-cli + google-antigravity OAuth providers
Google now actively bans accounts for third-party tools that piggyback on
Gemini CLI / Antigravity / Code Assist OAuth, and because abuse prevention
sits at a backend layer the ban can extend to the entire Google account
(Gmail/Drive), with a second violation being permanent.
Ref: https://github.com/google-gemini/gemini-cli/discussions/20632
Removes both OAuth inference providers entirely (modules, provider profiles,
auth/runtime/config/models wiring, the /gquota Code Assist quota command,
the antigravity-cli optional skill, desktop + docs surface in en + zh-Hans).
The API-key 'gemini' provider (GOOGLE_API_KEY/GEMINI_API_KEY against
generativelanguage.googleapis.com) is unaffected and stays fully supported.
* fix(skills): keep the antigravity-cli skill — only the OAuth provider is removed
The antigravity-cli optional skill orchestrates the external `agy` binary as
a coding-agent tool via the terminal tool — it does NOT wrap Hermes inference
through the banned google-antigravity OAuth provider, so it carries none of
the account-ban risk that motivated removing that provider. Restore the skill,
its docs page, the sidebar entry, and the optional-skills catalog row. The
google-antigravity / google-gemini-cli inference providers stay fully removed.
The s6 dashboard entrypoint and docker integration tests relied on
HERMES_DASHBOARD_INSECURE=1 to bring up a 0.0.0.0 dashboard with no auth
provider. With --insecure now a no-op (auth gate mandatory on non-loopback
binds), that path fails closed.
- s6 dashboard/run: drop --insecure derivation; warn that the env is a no-op
and point operators at HERMES_DASHBOARD_BASIC_AUTH_* / OAuth.
- docker tests: supervision tests now register the bundled basic password
provider (HERMES_DASHBOARD_BASIC_AUTH_USERNAME/_PASSWORD) so the gate has a
provider and the dashboard binds. Rewrote the insecure-opt-out test to
assert fail-closed (dashboard does NOT serve) instead of gate-bypass.
- docs (en + zh-Hans): HERMES_DASHBOARD_INSECURE documented as deprecated
no-op; basic-auth is the zero-infra way to authenticate a containerized
public dashboard.
The kanban-worker and kanban-orchestrator bundled skills existed only to
be force-loaded into dispatcher-spawned workers, gated by
environments:[kanban] so they wouldn't leak into normal CLI listings.
That gating was fragile (the leak that #50443 patched) and the
--skills auto-load was already best-effort — most workers ran without it
because the bundled skill isn't present in profile-scoped skills dirs.
Remove the skills entirely and promote their load-bearing content
(workspace kinds, deliverable artifacts, created-card integrity, profile
discovery) into KANBAN_GUIDANCE, which is already injected into every
kanban worker's system prompt. Net result: every worker reliably gets
the guidance, nothing can leak into a CLI/blank-slate session, and the
gating machinery is gone.
- agent/prompt_builder.py: promote the 4 load-bearing rules into KANBAN_GUIDANCE
- hermes_cli/kanban_db.py: drop --skills kanban-worker auto-injection + _kanban_worker_skill_available probe
- hermes_cli/kanban_swarm.py: drop skills=[kanban-orchestrator] on the root card
- hermes_cli/kanban.py: drop kanban-init skill seeding; fix help text
- delete skills/devops/kanban-{worker,orchestrator}
- docs: delete the two skill pages (EN+zh), fix sidebars/catalog/kanban.md/kanban-worker-lanes.md and the video-orchestrator + codex-lane references
- tests: update spawn-argv expectations; re-bound the guidance-size guard
Supersedes the skill-leak half of #50443 (credit @helix4u for flagging the area).
Answers a recurring plugin-author question: how to read the active
profile and drive Hermes from inside a hook callback when ctx._cli_ref
is None (gateway, hermes chat -q, and kanban-spawned worker sessions).
- Adds a 'Act from inside a hook' section to the plugin guide covering
ctx.profile_name and ctx.dispatch_tool as the session-agnostic APIs,
with a kanban_task_blocked example, and notes there is no in-process
slash-command bridge for headless workers (shell out via the terminal
tool instead).
- Adds the three kanban lifecycle hooks to the hook reference table with
their process semantics.
- Pins the contract with a regression test: ctx.dispatch_tool invokes a
tool handler with _cli_ref=None (worker/hook context).
Requested by @Smithangshu on Discord.
hermes -w created the worktree branch from the standalone clone's HEAD, which
lags origin when the clone isn't freshly updated (it's only refreshed by
hermes update, not per session). Every worktree branch then rooted on a stale
base, so the PR diff GitHub computes against current main ballooned with
unrelated changes and the agent had to discover the staleness at push time and
rebase.
_resolve_worktree_base() now fetches and branches from the freshest available
ref: the current branch's upstream if it tracks one (so a deliberate
feature-branch worktree tracks its own remote), else the remote's default
branch (origin/HEAD), else local HEAD as a fail-soft fallback (offline / no
remote / detached). A bogus 'origin/(unknown)' default is guarded, and worktree
creation retries from HEAD if branching off the remote ref fails — so this is
never worse than the old behavior.
Gated by worktree_sync (default true); set worktree_sync: false to keep the
old branch-from-local-HEAD behavior. The resolved base is printed in the
session banner.
This is the follow-up to the #50319 session, where the standalone clone was
213 commits behind origin and the worktree inherited that stale base.
Rich messages are not ready for primetime: current Telegram clients can
render Bot API 10.1 rich messages as blank/unsupported bubbles and make
them hard to copy as plain text, which is worse than the legacy
MarkdownV2 path for command snippets and mobile handoffs. Default the
rich_messages toggle to False so replies stay on the copyable legacy
path; users opt in per bot via platforms.telegram.extra.rich_messages:
true. Updates adapter, gateway config default, example config, English +
zh-Hans docs, and the default/opt-in tests.
The gateway pre-compression hygiene valve force-compressed any session
crossing 400 messages regardless of token usage. On large-context (1M+)
models doing many short, message-dense turns, a healthy session at ~16%
token usage could hit 400 messages and get force-compressed — and the
compression summary's stale Active Task could then bleed into the next
turn.
The valve's actual purpose is to break a death spiral: when API calls
keep disconnecting on an oversized session, no token-usage data arrives,
the token threshold never fires, and the transcript grows unbounded.
It's a count-based floor for that pathological case only. 400 was tuned
for ~200K-context models and is far too low for modern large-context
sessions. Raise the default to 5000 — still well clear of any death
spiral, but no longer firing on legitimate long conversations.
The value remains fully configurable via compression.hygiene_hard_message_limit.
Adds hermes_cli/context_switch_guard.py mirroring the model_cost_guard
pattern. When a user switches models mid-session (Herm TUI picker, CLI,
or /model on Telegram/Discord), the warning surfaces on the existing
ModelSwitchResult.warning_message path used by the expensive-model
guard if the new model's compression threshold is below the current
session size.
Partial fix for #23767 — addresses only the 'user-facing guardrail
when switching from a high-context provider to a substantially
lower-context provider' slice. The other proposed fixes from that
issue (hard preflight token guard, metadata cache invalidation on
switch, compression safety invariant, oversized tool-output handling)
are out of scope for this PR.
- Remove the 'you only log in once per machine' claim from spotify.md
and document the ~6-month refresh token expiry with re-auth instructions
- Add test_client_wraps_invalid_grant_as_spotify_auth_required_error to
confirm SpotifyClient wraps AuthError(code=spotify_refresh_invalid_grant)
into SpotifyAuthRequiredError with a user-facing message
Refs: #28155
When model.context_length is set in config.yaml, it blocks auto-detection
from the server's /v1/models endpoint. The skill incorrectly implied a
hard fallback to 131072. Add the resolution chain and the fix command
(hermes config set model.context_length "") to both the config table
and a new troubleshooting section.
Closes#48835
The bundled himalaya skill and its website docs documented command
syntax that does not match Himalaya CLI v1.2.0.
Verified against pimalaya/himalaya v1.2.0 source:
- message move: MessageMoveCommand declares target_folder BEFORE
envelopes (src/email/message/command/move.rs) -> usage is
'<TARGET> <ID>...', so 'move 42 "Archive"' is wrong; correct is
'move "Archive" 42'.
- message copy: same ordering in copy.rs.
- attachment download: AttachmentDownloadCommand exposes the flag as
'-d, --downloads-dir <PATH>' (src/email/message/attachment/command/
download.rs), not '--dir'.
Fixed in all three surfaces that carried the wrong examples:
- skills/email/himalaya/SKILL.md
- website/docs/.../email-himalaya.md
- website/i18n/zh-Hans/.../email-himalaya.md
* feat(setup): Blank Slate setup mode — minimal agent, opt in to everything
Adds a third first-time setup option alongside Quick Setup and Full Setup.
Blank Slate forces ON only what an agent needs to run — provider & model,
the File Operations toolset, and the Terminal toolset — and turns
everything else OFF, then walks the user through opting each capability
back in.
What it does:
- platform_toolsets.cli = [file, terminal] (explicit, authoritative list)
- agent.disabled_toolsets = every other known toolset (web, browser,
code_execution, vision, memory, delegation, cronjob, skills, image_gen,
kanban, …). Applied last in the resolver, so it overrides the
non-configurable platform-toolset recovery that would otherwise re-add
toolsets like kanban — guaranteeing a true blank slate.
- Optional config features off: compression, memory + user-profile capture,
checkpoints, smart model routing, auto session reset.
- Bundled skills default to NONE (reuses the .no-bundled-skills marker);
offers to seed the full catalog.
- Walks through tools / plugins / MCP / messaging, all opt-in.
Proven end-to-end: with the Blank Slate config, model_tools.get_tool_definitions
emits exactly 6 schemas — patch, process, read_file, search_files, terminal,
write_file. Nothing else reaches the model.
Re-enable later via hermes tools / hermes skills opt-in --sync /
hermes setup agent.
Tests: tests/hermes_cli/test_setup_blank_slate.py (8 tests) pin the writers,
the resolver invariant ({file, terminal}), and the 6-schema end-to-end set.
Docs: getting-started/quickstart.md documents all three setup modes.
* feat(setup): Blank Slate fork — finish minimal, or walk through configs
After applying the minimal baseline (provider/model + file + terminal,
everything else off), Blank Slate now presents a choice instead of always
running the full walkthrough:
1. Start with everything disabled — finish now with the minimal agent.
2. Walk through all configurations — opt in to tools, skills, plugins, MCP,
and messaging.
Provider/model and terminal are still configured first either way (the agent
can't run without them). The finish-now path records the bundled-skill opt-out
so future `hermes update` runs don't re-inject skills. The walkthrough body
moved to a separate _blank_slate_walkthrough() helper.
Tests: TestBlankSlateFork covers both branches (finish-now applies baseline +
skill opt-out and skips the walkthrough; walkthrough path invokes it). Docs
updated to describe the fork.
Sets the Telegram bot's short description (the line under its name) to
"Online" on gateway connect and "Offline" on clean disconnect, gated
behind extra.status_indicator (off by default).
Telegram bots have no presence/online dot — that's a user-account
feature the Bot API doesn't expose for bots. The short description is
the closest available surface, so this gives users a way to tell whether
the gateway is up from the bot's profile.
- New extra.status_indicator flag (+ status_online/status_offline text
overrides), read in __init__ via config.extra — no config-schema change.
- _set_status_indicator() helper: best-effort, swallows API errors so it
never blocks connect/disconnect; truncates to Telegram's 120-char cap.
- Wired Online after _mark_connected(), Offline at top of disconnect()
while the bot HTTP client is still alive.
- 9 unit tests + Telegram docs section.
Requested by @ilTrumpista, cc @Teknium.
Adds a Raft platform adapter as a bundled plugin (plugins/platforms/raft/)
connecting Hermes to Raft as an external agent via a wake-channel bridge.
The adapter starts a loopback HTTP endpoint, spawns 'raft agent bridge' as a
child process, and injects content-free wake hints into the gateway session
pipeline. The agent reads/sends messages through the Raft CLI; the adapter
never touches message bodies or delivery cursors. Activity observer hooks
report tool/LLM/session lifecycle events via a bounded at-most-once queue.
Auto-enables when RAFT_PROFILE is set.
Cherry-picked from PR #47629. Authored by skyzh (@xxchan).
Extend the 'Running Many Gateways at Once' user-guide page with a
'one gateway for all profiles (multiplexing)' section, kept to a single page:
- How to opt in (gateway.multiplex_profiles on the default profile) and when to
prefer it vs one-process-per-profile.
- Every contract change a user sees when the flag is on:
1. secondary-profile 'gateway start' is a hard error (--force escape hatch),
2. HTTP-inbound reached via /p/<profile>/ prefix; secondary profiles must NOT
enable a port-binding platform (webhook/api_server/msgraph_webhook/feishu/
wecom_callback/bluebubbles/sms) — config error at startup,
3. per-credential platforms still need their own token per profile,
4. session keys namespaced agent:<profile>: (default stays agent:main:),
5. single PID/lock + aggregated hermes status, per-profile runtime_status.json.
- What does NOT change: per-profile .env credential isolation (stricter, incl.
MCP/Kanban subprocess env), Kanban, profile-scoped skills/memory/SOUL, routing.
All inert when the flag is off.
Add a ChatGPT-style conversation list beside the embedded TUI on the
dashboard Chat tab so users can swap sessions without leaving the page.
- New ChatSessionList component: lists recent sessions for the active
profile (title/preview, last-active, message count, source), a New chat
button, and a refresh control. Best-effort like ChatSidebar.
- Selecting a row drives /chat?resume=<id>, which ChatPage already treats
as part of the PTY identity, so the terminal respawns resuming that
conversation. Active row is highlighted; New chat clears resume.
- Wired into ChatPage as a dedicated right-side column (desktop) and into
the existing slide-over panel above model/tools (narrow screens).
- i18n: new sessions.newChat key across all locales.
- Read-only switcher by design — delete/rename/export stay on Sessions.
Docs: web-dashboard.md Chat section documents the switcher.
gui.log was registered in hermes_cli/logs.py::LOG_FILES (and surfaced by
`hermes logs gui`) but was never wired into `hermes debug share`. The share
report captured agent/errors/gateway/desktop tails plus full agent/gateway/
desktop logs — but nothing from gui.log, the surface the dashboard, TUI-over-
PTY bridge, and websocket layer (hermes_cli.web_server / pty_bridge /
tui_gateway) actually write to. A user reporting a dashboard or TUI bug shared
zero breadcrumbs from the broken surface.
Wire gui.log through all three share surfaces, matching the existing pattern:
- _capture_default_log_snapshots(): capture the gui snapshot (redacted like the rest)
- collect_debug_report(): add the gui.log summary tail block
- build_debug_share(): pull gui full_text, prepend dump header + redaction banner, add to the upload loop
- run_debug_share() --local branch: same, plus the local print block
- _PRIVACY_NOTICE: name gui.log in both bullets
Redaction is inherited for free — the gui snapshot goes through the same
_capture_log_snapshot(..., redact=redact) path, so secrets are scrubbed in
both the tail and full text (verified E2E: seeded key masked by default,
passes through under --no-redact, raw token never leaks).
Tests: seed gui.log in the fixture, add test_report_includes_gui_log, and bump
the upload-count tripwire 4->5 (test_share_uploads_five_pastes).
