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.
* 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.
* 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.
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>
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).
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.
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(skills): add html-artifact skill, fold in sketch + architecture-diagram + concept-diagrams
Adds a unified `html-artifact` creative skill that produces self-contained,
single-file HTML artifacts — concept explainers, implementation plans,
status/incident reports, code-review walkthroughs, technical + educational
SVG diagrams, multi-variant design comparisons, and throwaway editors that
export their state back to the clipboard. Grounded in Anthropic's
html-effectiveness gallery (MIT); the house style (token block, serif/sans/
mono split, hand-rolled diffs, inline-SVG diagrams, graceful degradation) is
distilled from reading all 20 reference files.
Supersedes and removes three overlapping skills, folding their unique value in:
- sketch -> the fidelity dial (throwaway vs presentation) + the
multi-variant comparison layouts + the browser-vision
verify loop (references/fidelity-and-verify.md)
- architecture-diagram-> the dark "infra" token variant + double-rect masking +
semantic component palette (references/dark-tech.md,
templates/diagram.html infra mode)
- concept-diagrams -> the 9-ramp educational color system + the concept
archetype library (references/concept-archetypes.md,
the light design system in templates/diagram.html)
Structure:
- SKILL.md (description exactly 60 chars), 6 references, 3 templates
- templates verified by headless-Chrome render + vision inspection
- editor export logic (file://-safe clipboard, Promise-normalized) verified in node
Cross-references updated in claude-design (new disambiguation table row drawing
the design-taste vs information-artifact boundary), design-md, pretext, spike,
and kanban-video-orchestrator. Website skill docs + catalogs regenerated;
stale EN/zh-Hans per-skill pages pruned and i18n cross-refs fixed.
Not folded (intentionally orthogonal): excalidraw (.excalidraw JSON), p5js
(generative canvas), claude-design / popular-web-designs / design-md (visual
design taste / brand vocab / token spec).
* feat(skills): ship html-effectiveness gallery as fetched reference examples
Add scripts/fetch-examples.sh (idempotent clone/pull of Anthropic's MIT
html-effectiveness gallery) + references/examples.md mapping each of the 20
example files to a mode so the agent reads the right worked example. The clone
lands in references/examples/ and is gitignored (it's a 384KB upstream repo,
not vendored). SKILL.md workflow + reference list now point at it; falls back to
the distilled pattern references when offline.
* feat(skills): make reading a gallery example a required authoring step
Reading the matching html-effectiveness example is now workflow step 2 (was an
optional aside in step 3): fetch the gallery, read_file the file for your mode,
mirror its structure. Models skip optional steps; the examples are the ground
truth, so consulting one is mandatory. Added an 'Example' column to the
mode->build quick-reference table and a 'don't skip the example' pitfall.
Also dogfooded the skill: read 03-code-review-pr.html and 13-flowchart-diagram.html
raw and reconciled the distilled references against source — aligned diff-row tint
opacity to the source's 0.15 (was 0.18) and added the .ctx/.hunk rows in
house-style.md + base.html so they match 03-code-review-pr.html verbatim.
* docs(skills): explain the consolidation + bundled-vs-optional rationale
The supersession note only stated *what* was folded, not *why* the prune is
sound. Expand SKILL.md's intro into a 'Why this skill exists' section: the three
former skills emitted the same artifact and overlapped, so consolidating removes
which-one-do-I-load ambiguity; and the optional->bundled promotion of
concept-diagrams is footprint-safe because this skill has zero deps (only cost is
the 60-char description; everything else is progressive-disclosure). States the
bundling dividing line explicitly: zero install cost + broadly useful gets
bundled, real install cost (hyperframes: Node+FFmpeg+Chromium) stays optional.
Regenerated website per-skill page to match.
When a worker calls kanban_create from inside a session that has a
persistent delivery channel, the originating session is now subscribed
to the new task's completion/block events automatically. The agent
that dispatched the task gets notified instead of having to poll.
- Gateway sessions (telegram/discord/slack): HERMES_SESSION_PLATFORM +
HERMES_SESSION_CHAT_ID ContextVars, set by the messaging gateway.
- TUI / desktop sessions: HERMES_SESSION_KEY in the subprocess env.
The TUI notification poller keys on platform='tui' + chat_id=<key>.
- CLI / cron / test: no persistent channel, no subscription.
Gated by kanban.auto_subscribe_on_create in config.yaml (default True).
Disable to mirror pre-feature behaviour — users who want explicit
kanban_notify-subscribe calls per task can set it to false. This
config gate addresses the design concern that got PR #19718 reverted
upstream (unconditional implicit auto-subscribe on tool-driven
kanban_create was too aggressive for orchestrator users).
HERMES_SESSION_ID is intentionally not a fallback channel — it is
set by ACP/agent subprocess telemetry for every invocation, not just
TUI, so treating it as a notification target would auto-subscribe
every CLI session and re-introduce the over-eager behaviour.
The kanban_create response now includes a 'subscribed' bool so
orchestrators can react if subscription failed (e.g. by falling
back to explicit kanban_notify-subscribe or to polling).
Includes 6 tests covering the gateway / TUI / CLI / partial-context /
gated / add_notify_sub-failure paths. All 90 tests in
test_kanban_tools.py pass; 509 broader kanban tests pass.
Reflect the default-model change in the xAI Grok OAuth guide, the web
search docs (EN + zh-Hans), and the web provider docstring. grok-4.3 is
kept in the model tables as the previous default; the Nous/OpenRouter
aggregator catalog still lists grok-4.3 and is left unchanged.
PROBLEM: Automatic context files such as SOUL.md and AGENTS.md were capped by a hardcoded CONTEXT_FILE_MAX_CHARS value. Amy's local fork had raised that constant from 20K to 25K so a larger SOUL.md would not be silently truncated, but the hardcoded 25K value changed upstream default behavior and made the patch less generally useful.
SOLUTION: Restore the upstream-compatible 20K default, add a context_file_max_chars config setting for users who intentionally keep larger identity/project-context files, keep chat-visible truncation warnings, and document the new setting. Tests cover the default, config override, explicit max_chars precedence, and the warning text.
Streamed Telegram replies that finalize through editMessageText were
converted to MarkdownV2, which has no table syntax and rewrites pipe
tables into bullet lists — users saw a table while streaming that
collapsed to a list at the last moment.
Finalize now edits the existing preview IN PLACE via Bot API 10.1's
editMessageText rich_message parameter when the content has constructs
the legacy path degrades (tables, task lists, <details>, block math).
No fresh send + delete, so no duplicate-preview flicker — the reason
#46206 reverted the fresh-final re-send path. prefers_fresh_final_streaming
stays False; the in-place edit replaces it.
- _needs_rich_rendering(): rich reserved for table/task-list/details/math
(adapted from #45995, @YonganZhang); plain replies stay on MarkdownV2.
- _try_edit_rich(): editMessageText + rich_message via do_api_request,
mirroring _try_send_rich's fallback/latch/transient contract.
- edit_message finalize tries rich in place before the 4,096 overflow
pre-flight (rich cap is 32,768), falling back to legacy on rejection.
- rich_messages default flipped back to True (DEFAULT_CONFIG + adapter).
- docs (en + zh-Hans) + cli-config example updated to default-on.
Closes the root cause behind #45911 / #46009.
Remove the rich_messages config toggle entirely so Telegram replies always try the Bot API 10.1 rich-message path first, with the existing MarkdownV2 fallback/latch behavior for unsupported endpoints and per-message failures.
Restore the Telegram platform hint to encourage rich Markdown tables/task lists/math now that the rich path is the default, and remove the config/docs surface for the old toggle.
Subagents doing legitimate heavy work (deep code reviews, research
fan-outs, slow reasoning models) were routinely killed at the blanket
600s child_timeout_seconds cap while making steady progress (e.g. 36
API calls completed when the axe fell). Failures should come from what
the child is actually doing — API errors, tool errors, iteration
budget — not a delegation-level stopwatch.
- DEFAULT_CHILD_TIMEOUT: 600 -> None; Future.result(timeout=None)
blocks until the child finishes
- config default delegation.child_timeout_seconds: 600 -> 0
(0/negative = disabled; positive opts back in, floor 30s unchanged)
- stuck-child protection unchanged: the heartbeat staleness monitor
still stops refreshing parent activity so the gateway inactivity
timeout fires on a truly wedged worker; the 0-API-call diagnostic
dump still works when a cap is configured
- docs updated (EN + zh-Hans)
- Use reply_parameters per the sendRichMessage spec instead of the
undocumented reply_to_message_id scalar (silently ignored -> reply
anchor quietly dropped).
- Latch rich sends off after an endpoint-capability failure (old PTB /
server without sendRichMessage) so every later reply doesn't pay a
doomed extra roundtrip; per-message BadRequests do NOT latch.
- Default rich_messages to OFF (opt-in) while the day-old Bot API 10.1
endpoint is validated live; revert the prompt-hint table guidance
until the default flips on.
- Tests: reply_parameters shape, send-latch behavior, BadRequest
non-latch; rich tests opt in explicitly via extra.
Introduce opportunistic support for Telegram Bot API 10.1 rich messages by sending raw agent Markdown via sendRichMessage and streaming previews via sendRichMessageDraft. Implements a rich-path fast‑path in gateway/platforms/telegram.py (RICH_MESSAGE_MAX_BYTES=32768, feature gate platforms.telegram.extra.rich_messages, bot capability checks, routing/thread handling, and conservative fallback rules: permanent/capability errors fall back to the legacy MarkdownV2 path, transient/network errors are surfaced without legacy-resend). Also add a latch for draft capability failures (_rich_draft_disabled) and preserve legacy chunking and draft behavior when needed. Update agent prompt hints (telegram encourages rich Markdown/tables), add CLI config example option, update English and Chinese docs to describe rich messages and fallbacks, and add/adjust tests for rich send and draft behavior.
* docs: finish Automation Blueprints terminology rebrand
Replace leftover "Automation Templates" wording from the Cron Recipes
rebrand, rename the copy-paste cookbook guide to Automation Recipes, and
point the marketing gallery link at the blueprints catalog.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs: use Automation Blueprints instead of Recipes in guide
Rename the cookbook guide from automation-recipes to
automation-blueprints so sidebar and copy match the product term.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs: rename automation-blueprints-catalog to automation-blueprints
Drop the -catalog suffix from the reference page slug and title, and
move the copy-paste cookbook to automation-blueprint-examples so the
main Automation Blueprints doc is unambiguous.
Co-authored-by: Cursor <cursoragent@cursor.com>
* Revert "docs: rename automation-blueprints-catalog to automation-blueprints"
This reverts commit 605f1eeab5.
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* chore(skills): remove red-team skills (godmode, obliteratus) from bundled catalog
Anthropic's output classifier on claude-fable-5 (and likely other Claude
models served through it) intermittently returns empty content for sessions
whose system prompt advertises these skills. The bundled skills-catalog block
is injected into every session's system prompt, so the descriptions
- red-teaming/godmode 'Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN'
- mlops/inference/obliteratus 'OBLITERATUS: abliterate LLM refusals (diff-in-means)'
trip the classifier on EVERY session regardless of which skill is actually
loaded, killing unrelated legitimate work (PR review, codebase audits, etc.).
Measured impact (controlled, interleaved A/B, claude-fable-5 via OpenRouter,
prompts differing only by the ~204 chars of these catalog lines, N=20 each):
catalog lines present -> 19/20 (95%) blocked
catalog lines absent -> 5/20 (25%) blocked
Removing them ~quartered the block rate. Rewording the descriptions was not
enough; the skills must leave the bundled catalog.
- Delete skills/red-teaming/godmode and skills/mlops/inference/obliteratus
- Drop their generated doc pages + catalog/sidebar entries (EN + zh-Hans)
- Drop the godmode hand-written-page exception in generate-skill-docs.py
* chore(skills): relocate godmode + obliteratus to optional-skills
Rather than deleting outright, move both into optional-skills/ so they remain
installable via `hermes skills install` while leaving the always-injected
bundled catalog (which is what tripped Anthropic's classifier).
- optional-skills/security/godmode (was skills/red-teaming/godmode)
- optional-skills/mlops/obliteratus (was skills/mlops/inference/obliteratus)
- regenerate optional-skills catalog + sidebar entries
The TUI docs presented HERMES_TUI_GATEWAY_URL + /api/ws as a supported
'attach the TUI to a standalone running gateway' workflow. It isn't.
/api/ws exists only inside the dashboard's FastAPI server
(hermes_cli/web_server.py), which spawns its own embedded TUI child and
injects the var as an internal wiring detail. The OpenAI-compat API
server (api_server platform) deliberately does not serve /api/ws, so the
documented ws://host:port/api/ws workflow 404s — the cause of #32882 and
the two PRs (#32904, #32955) that tried to add the route to the wrong
surface.
Rewrites the section in en + zh-Hans to describe the var accurately and
point users at shared state.db / dashboard embedded chat for multi-surface
session sharing.
Mirrors the EN deep-audit fixes (PR #40952) into the zh-Hans translation so the
two locales agree. zh-Hans is the only non-English locale; 26 translated pages
carried the same stale claims.
Corrections ported (code tokens identical across locales; prose re-translated
where the surrounding text was already Chinese):
- reference: /version slash command + dual-surface list; cli --provider adds
openai-api + novita aliases; tool count 70->71 (+ removed phantom "10 RL tools"
and fixed kanban 7->9); model_catalog ttl 24->1.
- user-guide: hermes -w -q -> -w -z; language list 8->16; aux slots 8->11;
docker separate-dashboard claim; gateway-streaming per-platform note;
computer-use frontmatter.
- features: curator prune_builtins truth; codex-runtime aux keys
(context_compression->compression, vision_detect->vision); voice-mode STT/TTS
enums; removed phantom rl toolset.
- integrations: StepFun step-3-mini->step-3.5-flash; web-search backends 4->8;
nous-portal status subcommand.
- messaging: WeCom typing/streaming columns; telegram transport default
edit->auto; sms host 0.0.0.0->127.0.0.1; simplex/ntfy gateway-setup + pairing
approve; line smart-chunking; matrix MATRIX_DM_AUTO_THREAD; msgraph host note.
- developer-guide: entry-point group hermes.plugins->hermes_agent.plugins;
PLUGIN.yaml->plugin.yaml.
Net-new EN sections (mcp mTLS, api-server run-approval, kanban CLI verbs) are
untranslated in zh-Hans and fall back to English source, consistent with the
mirror's existing partial-coverage state. Verified: docusaurus build --locale
zh-Hans succeeds; no new broken anchors from these edits.
The dashboard's embedded Chat surface (/chat, /api/ws, /api/pty) was gated
behind `hermes dashboard --tui` / HERMES_DASHBOARD_TUI=1. The desktop app and
the dashboard's own Chat tab both drive the agent over the /api/ws + /api/pty
WebSockets, so a dashboard started without the flag would pass the /api/status
health check but slam the chat WebSocket shut with WS code 4403 — the app
connects, reports "ready", and chat stays dead. This was the root cause behind
multiple user reports of the desktop app failing to connect to a self-hosted
gateway/dashboard, and it bit Docker and host installs alike.
Make the embedded chat unconditional:
- web_server.py: _DASHBOARD_EMBEDDED_CHAT_ENABLED defaults to True; drop the
embedded_chat parameter and the runtime reassignment from start_server().
The WS gates still read the constant (now always true) so the seam — and its
"rejects when disabled" contract test — stays meaningful.
- main.py: remove the `--tui` argument from the dashboard subparser and the
`embedded_chat = args.tui or HERMES_DASHBOARD_TUI==1` derivation.
- web/: isDashboardEmbeddedChatEnabled() returns true unconditionally; drop the
deprecated __HERMES_DASHBOARD_TUI__ alias and the dead LEGACY_TUI_RE scrape in
the vite dev-token plugin.
- apps/desktop/electron/main.cjs: drop `--tui` from the spawned dashboardArgs
(it would now error with "unrecognized arguments: --tui") and the redundant
HERMES_DASHBOARD_TUI env injection.
- Docker: no s6 run-script change needed — the script never passed --tui; the
HERMES_DASHBOARD_TUI env var is now simply a no-op, so the image works out of
the box with no extra var.
- Docs: remove every dashboard --tui / HERMES_DASHBOARD_TUI reference across the
CLI reference, env-var reference, docker/desktop/web-dashboard guides, in-app
tips, and the zh-Hans translations. The terminal `hermes --tui` / HERMES_TUI
references are intentionally left untouched.
Tests: 270 passing across web_server, dashboard lifecycle, host-header,
auth-gate, and docker-override-scripts suites.
* refactor(supermemory): session-level conversation ingest + kebab tool aliases
Salvaged from #32487 (by @MaheshtheDev), rebased onto current main.
- sync_turn now buffers cleaned turns; the full session is ingested once
at session end / switch / shutdown via the conversations endpoint
- ingest_conversation() accepts and forwards functional document metadata
(type, session_id, message_count, partial)
- register kebab-case tool aliases (supermemory-save/search/forget/profile)
alongside the snake_case names
- README + docs (EN/zh-Hans) updated for the simplified session model
Source/vendor-attribution removed per project policy (no telemetry):
dropped x-sm-source header, sm_source metadata, and sm_capture_mode tags.
Preserved the post-branch atomic_json_write(mode=0o600) hardening that the
PR's stale base had reverted. Updated provider tests for the new behavior
and added maheshthedev@gmail.com to release.py AUTHOR_MAP.
Co-authored-by: alt-glitch <balyan.sid@gmail.com>
* feat(supermemory): restore x-sm-source for Spaces routing
Reinstates x-sm-source: hermes (SDK default_headers + conversations POST)
and sm_source: hermes document metadata. Per @Dhravya (Supermemory), this
is a functional routing key, not telemetry: it groups Hermes writes into a
dedicated "Hermes" Space in the Supermemory app so users can filter and
bulk-manage memories per source agent.
sm_capture_mode remains dropped (appears analytics-only; Spaces are routed
by sm_source) pending confirmation. Adds README note + a unit test covering
_merge_metadata sm_source stamping and legacy source->type migration.
---------
Co-authored-by: Mahesh Sanikommu <maheshthedev@gmail.com>
Self-review of #38465 surfaced three real items:
1. SystemExit escape (defense): `_login_nous` raises SystemExit(130)/(1) on
cancel/failure. The logged-out login path inside `_model_flow_nous` catches
it, but the expired-session re-login path (main.py) only catches Exception,
so a Ctrl-C during re-auth could propagate past `_run_portal_one_shot` and
kill the CLI. Add SystemExit to the portal handler so all cancel/abort cases
end with the graceful 'Setup cancelled / retry later' message.
2. Doc sweep: the model-pick step was only added to the bare-`hermes portal`
prose. Propagate it to the surfaces describing `hermes setup --portal`
behavior that still omitted model selection:
- `--portal` argparse help (main.py)
- nous-portal.md intro + the numbered 'what it does' step list (EN + zh-Hans)
- run-hermes-with-nous-portal.md 'default model after setup --portal' line,
which was now contradictory (there's a picker, not a forced default) (EN + zh)
3. Test coverage: add parametrized regression test asserting the portal handler
swallows KeyboardInterrupt / EOFError / SystemExit (returns None, no escape).
Note on 'Skip (keep current)': delegating to _model_flow_nous means picking
Skip preserves the prior provider instead of force-switching to nous — this is
intentional and matches quick setup exactly; docs now say 'sets Nous as your
provider (when you pick a model)' rather than unconditionally.
`hermes portal` / `hermes setup --portal` previously logged in and set
provider=nous but left the model UNSELECTED (blank -> runtime default) and
never showed a picker — unlike the first-time quick setup, which runs the
model picker.
Route `_run_portal_one_shot` through `_model_flow_nous` — the exact same
routine quick setup (`_run_first_time_quick_setup`) and `hermes model` -> Nous
use. It handles both the logged-out path (device-code OAuth, which picks a
model internally) and the logged-in path (curated Nous model picker), then
offers the Tool Gateway opt-in and sets provider=nous. Net effect: `hermes
portal` now offers a model picker every time and is a true single-command
collapse of quick setup's Nous step.
Removes the hand-rolled auth_add_command + manual provider write + separate
Tool Gateway prompt (now a single source of truth). Re-syncs the in-memory
config from disk afterward so a caller's later save_config can't clobber the
model/provider written by the login flow.
Docs (CLI help, portal_cli docstrings, nous-portal EN + zh-Hans) updated to
mention model selection. New regression test asserts `_run_portal_one_shot`
delegates to `_model_flow_nous`.
Verified live: `hermes portal` now shows the 27-model curated picker, 'Skip
(keep current)' preserves prior provider/model.
`hermes portal` (no subcommand) now runs the one-shot Nous Portal onboarding
— OAuth login, switch provider to Nous, offer Tool Gateway — identical to
`hermes setup --portal` and the human-readable alias for
`hermes auth add nous --type oauth` (which still works).
The prior status default moves to `hermes portal info`; `status` is kept as a
hidden back-compat alias. `open`/`tools` subcommands are unchanged.
User-facing hints and docs (status.py, conversation_loop 401 guidance,
SystemPage, README, website docs + zh-Hans) now point at `hermes portal` /
`hermes portal info`. `--manual-paste` references keep the explicit auth
command since `hermes portal` does not expose that flag.
Follow-up to #38089. The merged PR removed --recurse-submodules from the
installer, CI, and getting-started docs, but missed the same stale clause in:
- CONTRIBUTING.md (Prerequisites table)
- website/docs/developer-guide/contributing.md (table + clone command)
- zh-Hans mirror of the developer-guide contributing doc
git-lfs is kept in the Git requirement rows since it's a separate, real
prerequisite. No .gitmodules has existed since the Atropos RL submodule was
removed in #26106.
Native Windows is out of beta. Removes the early-beta warnings, headings,
and rough-edge framing across the README and docs (EN + zh-Hans), keeping
the WSL2-only dashboard PTY caveat. Historical RELEASE_v0.14.0.md notes are
left intact since they accurately describe the state at that release.
- README: Windows install + cross-platform notes
- index.mdx, installation.md: headings, warning admonitions, parity note
- windows-native.md: title/sidebar_label/warning, provider-hunting tip
- contributing.md, nous-portal.md: cross-platform / Portal parity prose
- Repoint cross-links to the renamed installation#windows-native-powershell
anchor (EN) and #windows原生powershell (zh, also fixes pre-existing drift)
NVIDIA/skills is now a default trusted tap in the Hermes Skills Hub —
discoverable, browsable, searchable, and auto-updating through the same
pipeline that already serves OpenAI, Anthropic, and HuggingFace skills.
Rebased onto current main.
