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.
The rotation flowchart only described the generic 'retry once, rotate on
second 429' path. ChatGPT/Codex plan-limit 429s carry a usage_limit_reached
reason and rotate to the next pool key immediately (no retry, since the cap
won't clear on retry). Document that case so the docs match the code.
NVIDIA's verified skills catalog (https://github.com/NVIDIA/skills) ships
NVIDIA-signed skills for CUDA-X, AIQ, cuOpt, cuPyNumeric, DeepStream, NeMo,
NemoClaw and the Skill Card Generator — each bundle carrying a detached
`skill.oms.sig` signature, a governance `skill-card.md`, and `evals/`. The
sync pipeline drops any skill missing those artifacts before publishing.
Changes:
- tools/skills_hub.py: add NVIDIA/skills to GitHubSource.DEFAULT_TAPS so
it lights up in `hermes skills browse`, `hermes skills search <q>`, the
twice-daily skills-index build, and the docs-site Skills Hub page
(https://hermes-agent.nousresearch.com/docs/skills) automatically.
- tools/skills_guard.py: add NVIDIA/skills to TRUSTED_REPOS so installs
resolve to trust_level="trusted" (looser install policy than community).
- website/scripts/extract-skills.py: map the `github` source id to a
friendly "NVIDIA" pill label for the docs hub page.
- website/src/pages/skills/index.tsx: register the NVIDIA pill (green
#76b900) and slot it into SOURCE_ORDER after HuggingFace.
- website/docs/user-guide/features/skills.md (+ zh-Hans i18n): document
the new default tap and the expanded trusted-repos list.
- tests/tools/test_skills_guard.py: assert NVIDIA/skills resolves to
"trusted" (including the skills-sh-wrapped form).
- tests/tools/test_skills_hub.py: invariant — every TRUSTED_REPOS entry
must be reachable via GitHubSource.DEFAULT_TAPS (prevents future
trusted repos from being declared but never browseable).
Validation:
- Live GitHub fetch: `src.fetch('NVIDIA/skills/skills/aiq-deploy')` pulled
17 files including SKILL.md (13 KB), skill-card.md, skill.oms.sig, and
the full references/ + evals/ tree. trust_level="trusted".
- Live inspect resolved name, description, and trust correctly.
- All 193 existing skills_guard + skills_hub tests still pass.
The s6 dashboard run script flipped `--insecure` on whenever
`HERMES_DASHBOARD_HOST` was anything other than 127.0.0.1 / localhost.
That comment ("the dashboard refuses otherwise") predates the OAuth
auth gate: back when it was written, `start_server` would SystemExit
on any non-loopback bind, so the run script's `--insecure` was the
only way to make in-container deployments work at all.
The gate has since been replaced by `should_require_auth(host,
allow_public)`, which engages the OAuth flow when a
`DashboardAuthProvider` is registered (the bundled `dashboard_auth/nous`
provider auto-registers on `HERMES_DASHBOARD_OAUTH_CLIENT_ID`) and
fails closed with a specific operator-facing error when none is. The
host-derived `--insecure` ran upstream of all that and silently
disabled the gate on every container-deployed dashboard.
Most visible under the portal's wildcard-subdomain rollout: every Fly
machine binds 0.0.0.0 so the edge can reach Flycast, every machine
boots with the correct `HERMES_DASHBOARD_OAUTH_CLIENT_ID`, the nous
provider registers — and `/api/status` still returns
`{"auth_required": false, "auth_providers": ["nous"]}` because the
run script disabled the gate before `start_server` ever saw the
request. The dashboard SPA was served to anyone, no `/login` redirect,
no OAuth challenge.
Fix: derive `--insecure` from an explicit opt-in env var,
`HERMES_DASHBOARD_INSECURE` (truthy values matching the rest of the
s6 boolean envs: 1, true, TRUE, True, yes, YES, Yes). Operators on
trusted LANs behind a reverse proxy without the OAuth contract
(the existing `docker-compose.windows.yml` use case) opt in
explicitly; portal-managed agent deployments leave it unset and let
the gate engage.
`docker-compose.windows.yml` already passes `--insecure` on the
`command:` array directly (line 38), so it doesn't depend on the s6
auto-injection. No compose-file change required.
Tests:
* `tests/test_docker_home_override_scripts.py` — extends the existing
static-text guard with a regression assertion that the legacy
host-derived case-statement is gone and the new env-var opt-in is
present (locks against accidental revert).
* `tests/docker/test_dashboard.py` — adds two Docker-in-Docker tests
exercising the actual `/api/status` round-trip:
- 0.0.0.0 bind + `HERMES_DASHBOARD_OAUTH_CLIENT_ID` → gate engaged
- 0.0.0.0 bind + `HERMES_DASHBOARD_INSECURE=1` → gate disabled
Docs:
* `website/docs/user-guide/docker.md` + zh-Hans i18n — adds the new
env var to the table, replaces the stale prose ("the entrypoint
no longer auto-enables insecure mode" — which until this PR was
flat-out wrong) with an accurate description of the gate's
trigger conditions and the explicit opt-out.
shellcheck clean. Python static-text test passes locally. Behavioural
test will run against any future image build (CI's Docker harness).
