Adds the comment-based hotspot convention (no new primitives) across three
guidance surfaces:
- KANBAN_GUIDANCE worker lifecycle: new step 7 — when a file keeps colliding
with siblings or appears in other cards' recent comments, leave a
'hotspot: <path> — <reason>' kanban_comment and repeat it in completion
metadata so the orchestrator can decompose the file first.
- kanban.md (en + zh-Hans): 'Collision hotspots in parallel campaigns'
subsection — the convention, the orchestrator response (2+ flags on one
path => dedicated decomposition card before queuing more work touching
it), and the cross-link to merge-reconciler for conflicts that already
happened.
- merge-reconciler SKILL.md Pitfalls: repeated conflicts on the same file
across rounds are a hotspot signal — flag for decomposition rather than
serially reconciling.
Live-verified: guidance renders once via real import (6152 chars); hotspot
comment round-trips through add_comment -> list_comments -> worker context
on an isolated HERMES_KANBAN_DB; kanban tools, review-surfaces, and
merge-reconciler skill tests green (45 passed).
Design decisions belong to the orchestrator: decide naming schemes,
schemas, file formats, and API shapes before fanning out; never let two
subtree cards decide the same question; stamp every decision into each
dependent card body since workers cannot see sibling context. Mirrored
in the kanban docs (en + zh-Hans) with an exporter/importer worked
example, and bounded KANBAN_GUIDANCE size with an invariant test.
Add a non-terminal "review" status so a worker that finished implementation
can hand off for human review without abusing kanban_block. The old
kanban_block(reason="review-required: ...") convention routed the handoff
through the unblock-loop breaker, so a normal review -> changes -> review
cycle was falsely escalated to triage.
- kanban_db: request_review (running/ready -> review, non-block, emits
review_requested), reopen_review_task (review -> ready/todo, review_reopened),
complete_task accepts review -> done, and a review_dispatch gate (default off,
shared by the dispatcher loop and the gateway health probe).
- kanban_request_review worker tool + `request-review` / `reopen-review` CLI
verbs; tool wired through toolsets, EXPOSED_TOOLS, _POLISHED_TOOLS.
- Gateway notifier wakes the origin subscriber on review_requested and
block_loop_detected; the subscription survives until done/archived, so every
review cycle re-notifies.
- Dashboard PATCH + bulk route the review transitions (request_review /
reopen_review_task) and render the review column.
- goals.py goal-loop and KANBAN_GUIDANCE recognize review as a terminator.
- Docs (reference tables, user guide, AGENTS.md, zh-Hans mirrors) + tests.
needs_input / failed are unchanged: they still route through kanban_block,
still count toward block_recurrences, and still escalate to triage.
An unset browser.backend ("") now resolves to Browser Use mode whenever
the browser-use CLI is runnable (installed binary or uvx); otherwise the
built-in browser tools are kept so browsing never silently breaks.
Camofox setups always keep the built-in tools (no CDP surface), and
backend: off (including YAML 1.1 bare off -> False) forces the built-in
stack. hermes tools row highlighting follows the same effective-mode
resolution, and tests/tools/ pins CLI discovery off so host uvx installs
can't flip built-in-browser tests.
The upstream ahujasid/blender-mcp and ahujasid/ableton-mcp GitHub repos
were hijacked on 2026-08-08: the maintainer (@sidahuj) publicly reported
his account was compromised and ownership stripped, and both repos now
redirect to an attacker-controlled org (MCPBlender, created the same
day, pushing new commits since).
Although our catalog pinned blender-mcp==1.6.4 from PyPI (pre-compromise,
sha256 verified unchanged), the server is only half the bridge: the
manifest's post-install instructions and the optional skill directed
users to download addon.py — arbitrary Python executed inside Blender —
from the now-compromised GitHub repo (the raw URL currently 404s, and
the addon ships in no PyPI artifact). There is no trustworthy source
for the addon half, so the entry cannot be installed safely end-to-end.
Removing the catalog entry and skill entirely until the maintainer
confirms account recovery; re-adding is a follow-up PR once upstream
is verified clean.
- optional-mcps/blender/: removed
- optional-skills/creative/blender-mcp/: removed
- docs: catalog rows, sidebar entry, skill pages (en + zh-Hans) removed
- cross-references in unreal-mcp and kanban-video-orchestrator cleaned
Adds skills/autonomous-ai-agents/merge-reconciler — a bundled skill teaching
a neutral third-party agent to resolve git merge conflicts between two
agents' branches: gather both diffs + intents, classify each hunk
(disjoint-intent / same-question-different-answer / superseded), resolve
under an impartiality contract, verify, and hand back a per-hunk summary.
Procedure was live-tested end-to-end against a real conflict fixture.
Includes contract tests (tests/skills/test_merge_reconciler_skill.py) and a
kanban docs cross-reference (en + zh-Hans): assign a third neutral profile a
reconciliation card with both conflicted cards as parents.
Surface the existing planner/worker cost-split capability as an explicit
strategy in the docs:
- delegation.md: new 'Cost strategy: frontier planner, inexpensive workers'
subsection under Model Override, with a config.yaml snippet using the
verified delegation.model / delegation.provider keys, the resolution order
(base_url > provider > inherit parent; model applies in all cases, empty =
inherit), and a note that delegate_task has no per-task model parameter —
quality-sensitive tasks should use kanban's per-task override instead.
- kanban.md: matching 'Cost strategy: frontier orchestrator, inexpensive
workers' subsection using the verified per-profile config mechanism
(dispatcher injects profile-scoped HERMES_HOME at worker spawn) and the
existing per-task model_override (--model/--provider, set-model, dashboard).
- zh-Hans mirrors for both pages.
- cli-config.yaml.example: cost tip comment under the delegation section.
Config resolution was live-verified against tools/delegate_tool.py
(_load_config + _resolve_delegation_credentials) with a temp HERMES_HOME:
delegation.model pins children to the sentinel model; with no delegation
keys, children inherit the parent model and credentials.
Adds 'Handing context to follow-up cards (the parent link)' to the kanban
feature page and a CI-remediation worked example to the tutorial, with
zh-Hans mirrors. Claims live-verified against kanban_db on an isolated
board: create_task creates children of done parents directly in ready,
recompute_ready leaves children of open parents in todo, and
build_worker_context surfaces the parent's completion summary and
metadata under '## Parent task results'.
Reframe (per review): browser.backend: browser-use is now a DRIVER over
whatever browser source is configured, not a competing backend choice.
- browser_exec resolves its CDP endpoint through the same chain the
built-in tools use: BU_* env override > BROWSER_CDP_URL/browser.cdp_url
(/browser connect) > the configured cloud provider via browser_tool's
_get_session_info() — sharing the per-task session cache, expiry
replacement, inactivity reaper, and atexit cleanup instead of
duplicating them. Live-validated against Browserbase (session created,
driven, reaped) and gateway-provisioned Browser Use cloud browsers.
- Direct-API Browser Use configs skip provider resolution (the CLI talks
to their cloud natively via BU_AUTOSPAWN); the Nous-gateway variant
resolves through the provider, so subscribers get CLI mode without a
raw BROWSER_USE_API_KEY.
- Camofox: only true fallback — Firefox-based, custom HTTP API, no CDP
surface (its own health probes fail on CDP-schema calls). Active
Camofox setups keep the built-in browser tools even with
backend: browser-use set.
- hermes tools picker: provider rows and the Browser Use row are no
longer mutually exclusive; selecting a provider keeps the driver
choice, and both rows highlight when composed.
- Docs updated for driver-over-source semantics.
Follow-ups on the salvaged Browser Use CLI integration (PR #66476):
- browser_exec runs model-written Python on the host. Strip it at
tool-definition time for sessions whose resolved toolsets exclude
'terminal' so terminal-less surfaces (locked-down messaging configs)
don't silently regain host code execution through the browser toolset.
Session-level gate in model_tools, not a check_fn (check_fn results are
TTL-cached process-wide across sessions).
- Replace the live 'browser-use skill' schema fetch with a pinned helpers
digest: no third-party version-drifting text in the prompt, byte-stable
schema across machines. A/B benchmarked (108 runs, opus-4.8 + kimi-k3,
6 multi-step web tasks x 3 arms x 3 reps): pinned digest matches the
full skill dump 36/36 vs 36/36 at ~equal tokens; both cut total task
tokens ~60% vs the legacy browser_* toolset.
- Docs note for the terminal gate; contributor mapping for salvage.
User-visible surface from the #82616 session-continuity campaign:
- sessions.md: 'Repair Stranded Gateway Sessions' (evidence rules,
dry-run-first, why adoption is never automatic) and 'Continuity After
Crashes and Restarts' (atomic identity, self-heal, recency resolution,
reset-boundary fence)
- cli-commands.md: repair-routing row in the hermes sessions table
Docs build verified (en + zh-Hans).
Two bugs reported on the docker terminal backend (desktop app, sandboxed
profiles with container_persistent: false):
1. A NEW chat's container inherited the PREVIOUS session's workspace,
bind-mounted rw at /workspace, because the mount source was the
process-global TERMINAL_CWD env var (written by the workspace picker,
outliving its session) and all sessions shared one 'default' container.
2. Every command failed with exit 126 because the desktop gateway recorded
the HOST launch directory as the session cwd, and each command was
prefixed with 'cd /Users/<user>/...' inside the container.
Fixes (class-wide, single owners):
- container_persistent: false + docker now keys containers PER SESSION:
fresh container per chat, removed at session close/idle. delegate_task
children share the parent's container via an explicit alias registry.
container_persistent: true keeps the documented ONE-long-lived-container
contract unchanged.
- _resolve_task_host_cwd() is the single owner of the cwd->/workspace mount
policy across all four env-creation sites; under isolation it refuses
process-global cwd sources and mounts only the session's own attached
workspace (tui_gateway now tags overrides with cwd_source).
- _resolve_command_cwd() gains the same host-path guard the env-creation
sites already had (#50636/#54447 sibling site): a recorded host cwd is
discarded on container backends instead of cd-ing every command into a
nonexistent path.
E2E-tested against real Docker: distinct containers per session, no stale
mount in a fresh session, no exit 126 from host cwd records, containers
removed at session teardown.
Personality persistence used to be split per surface: the TUI/desktop wrote
the NAME to display.personality while the CLI/gateway wrote rendered TEXT
into agent.system_prompt (and their /personality none only blanked the
text, leaving the name behind). When #81946 made display.personality
authoritative everywhere, stale names written long ago resurrected
personalities users had turned off - kawaii defaulting on after updating.
- hermes_cli/personality.py: new single owner of personality state.
Built-in personality definitions, neutral-name normalization, rendering,
availability (built-ins overlaid by agent.personalities), overlay
resolution, and the ONLY sanctioned persistence path
(persist_personality -> display.personality; never agent.system_prompt).
- v34 config migration: one-time reset of display.personality to none
(announcing which personality was cleared and how to re-enable), plus a
scrub of agent.system_prompt when it verbatim-equals a known personality
render (machine-written by the old CLI/gateway). Hand-written manual
prompts are never touched.
- All surfaces rewired through the module: CLI /personality (incl. active
marker in the list), gateway /personality, TUI config.set + slash path
(which previously applied without persisting), TUI config.get (reports
the EFFECTIVE personality), completer, hermes config display, and the
tui_gateway health probe.
- cli.py/config duplicates removed: built-ins now defined once; the
desktop mirrors them from one lib module (src/lib/personalities.ts).
- Docs updated: selection lives in display.personality, built-ins always
available, one-time reset note.
Explain that schema.description is model-facing while register_tool(description=...) only populates ToolEntry metadata, and remove the duplicated hello-world description in English and zh-Hans docs.
Refs #60735
Co-authored-by: Shiki <132348332+songshikang0111@users.noreply.github.com>
Document the actual transport split: legacy editable drafts by default, optional rich drafts, persistent rich final sends, and in-place rich final edits for edit-based streams.
New tests/skills/test_authoring_standards.py parametrizes every bundled +
optional SKILL.md (1148 checks) against the mechanically-verifiable subset
of the hardline standards:
- required frontmatter fields (name/description/version/author/license/
platforms) + tags
- frontmatter name == directory name
- description <= 60 chars, ends with period, no marketing words
- related_skills resolve in-repo
- no machine-local paths
- <= 100k chars
Grandfather dict for legacy debt ships EMPTY — all pre-existing violations
fixed in this PR:
- 13 frontmatter names canonicalized to their directory names (the install
identifier); all related_skills references updated (comfyui -> stable-
diffusion). Fixes the class behind PR #42788's report; also fixes
here.now's invalid dot-name.
- optional-skills/devops/cli -> inference-sh-cli (dir was the generic
'cli'; fm name was right) incl. docs pages (en + zh-Hans), catalog row,
sidebar entry.
- pytorch-fsdp: 157k generated 'Quick Reference' dump moved to
references/common-patterns.md; SKILL.md 159k -> 2.5k with a pointer.
- research-paper-writing: 31.7k Phase 5 drafting section moved to
references/phase5-paper-drafting.md; SKILL.md 103k -> 71k.
Docs regenerated with scope discipline.
Per review: upscaling should be the default behavior (like the original
flux-2-pro chain), not agent opt-in. Policy: every image model whose
native output is below ~2MP now sets upscale=True in its catalog —
users never silently get low-res images. Native hi-res models
(Seedream 5 Pro/Lite, Krea 2 Large) stay off to avoid paying to
upscale already-large output.
- FAL catalog: 16 models flipped to upscale=True (klein, z-image,
nano-banana pro/2/2-lite, gpt-image 1.5/2, ideogram v3/v4, recraft
v4/v4.1, qwen image/3, krea-2 medium on FAL, MAI 2.5 pro).
- Krea plugin: per-model upscale defaults (medium + medium-turbo ON at
1.5K native; large OFF at 2K native), precedence explicit kwarg >
image_gen.krea.upscale config > catalog default.
- The 'upscale' tool param remains as a per-call override in both
directions (false = fast draft, true = force on hi-res/edits).
- Video unchanged: opt-in only (default-on would double every video's
cost and latency).
- Sibling tests updated: routing/payload tests pass upscale=False where
the assertion targets the generation submit; catalog test now pins
the native-resolution policy instead of the flux-2-pro snapshot.
The generated-media surface previously had almost no upscaler coverage:
only fal-ai/flux-2-pro chained Clarity Upscaler (hardcoded catalog
default), every other image model returned ~1MP output with no high-res
path, and video had no upscaler at all. Krea's API treats the enhancer
as a standard second pass; this brings the same shape to Hermes.
- image_generate: new optional 'upscale' boolean in the tool schema.
Explicit true chains the backend upscaler on ANY model (including
edits); explicit false disables flux-2-pro's automatic default;
omitted keeps per-model catalog behavior. Response now reports
'upscaled' so the agent knows which resolution it got.
- FAL image path: explicit flag overrides the catalog 'upscale' default
(Clarity Upscaler, 2x). Failure falls back to the native image.
- Krea plugin: upscale=true chains Krea Enhance
(/generate/enhance/krea/enhance, 2x, prompt-guided) through the same
BYO/managed base URL + auth as generation, with a best-effort poll
loop that never fails a successful generation.
- video_generate: new optional 'upscale' boolean; FAL video plugin
chains ByteDance SeedVR2 (fal-ai/seedvr/upscale/video, 2x factor
mode). Providers without upscalers ignore the kwarg per the ABC
contract (documented in both ABCs).
Validation: targeted suites green (123 tests across 6 files, including
new coverage for override-wins/default-kept/failure-fallback on all
three paths); live E2E on direct FAL verified both chains end-to-end
(klein 9b + Clarity upscaled image; pixverse-v6 1s 360p + SeedVR2
upscaled video).
- description 210 -> 57 chars; author credits Ben Barclay (benbarclay) first
- optional-skills/creative/ (marketing vertical, narrowest audience of
the batch)
- dropped phantom 'image-generation-workflow' ref; visuals via the
image_generate tool
- honest handoff language: platforms without connectors end at approved
drafts marked handed-off, never claimed as published
- tests (10) incl. phantom-ref and honest-handoff guards
- docs regen scoped: per-skill page + one catalog row + one sidebar line
Skill polish:
- description 208 -> 57 chars; author credits Ben Barclay (benbarclay) first
- connector framing (google-workspace, obsidian, notion, email-inbox-triage)
- modern section order; boilerplate folded into step-local rules
Blueprint wiring (completes the batch's recipe integration):
- weekly-review blueprint loads weekly-review-planning; prompt follows the
skill's seven-section shape, drafts-only
- morning-brief blueprint loads google-workspace; prompt points at
references/daily-brief.md when connected
- important-mail blueprint loads email-inbox-triage
- blueprints index regenerated
Tests: 13 skill tests + two catalog invariants (every blueprint skills=
entry resolves to a real bundled skill; the four task blueprints are wired
to their procedure skills). 32 green across both files.
The bundled docx, xlsx, powerpoint, and pdf skills were adapted from
Anthropic's document skills and carried their proprietary LICENSE.txt
(no derivatives, no redistribution). Flagged as critical license
findings by the SkillEvaluator Tier 1 scan of our skill tree.
This replaces all four with clean-room rewrites:
- Authored from scratch against library knowledge only (python-docx,
openpyxl, python-pptx, pypdf/reportlab/pdfplumber — all MIT/BSD) by
isolated subagents given functional specs, with an explicit
prohibition on reading the prior skill content or anthropics/skills;
session transcripts retained as provenance evidence.
- MIT licensed (LICENSE file per skill), author: Nous Research.
- Each skill: SKILL.md to house standards + argparse helper scripts
with UTF-8-explicit I/O + its own e2e pytest suite (fixtures built
on the fly, non-ASCII round-trips run under LC_ALL=C).
- All four pass SkillEvaluator Tier 1 pii+unicode+lint 3/3.
tests/skills/test_office_document_skills.py rewritten against the new
contracts: MIT/no-Anthropic-text invariants, scripts documented in
SKILL.md, argparse CLI shape, and a no-locale-default-open() check
(which caught and fixed a real gap: pdfplumber text reads are fine,
but the invariant scan now guards every future script).
Docs pages regenerated for the four skills (scoped; unrelated
generator drift excluded).
Honest capability deltas vs the old versions are documented per
SKILL.md (e.g. tracked-changes accept/reject and OOXML XSD validation
are not reimplemented; form flattening limits stated).
Salvage of PR #17973 by @TKCen (Sebastian Hänisch), re-implemented on
current main to preserve speed/instructions/provider params,
prepare_spoken_text normalization, OPUS_VOICE_PLATFORMS, is_write_denied
path security, microsecond timestamps, and the streaming-TTS gate.
- Split long TTS text into provider-safe chunks instead of truncating
- Pack generated audio against platform upload limits (Discord 10MB,
Telegram 50MB, configurable via tts.delivery_profiles)
- Combine chunks with ffmpeg (OGG/Opus re-encoded, MP3 stream-copied)
- Multi-file delivery when combination fails or would exceed limits
- Remove hard [:4000] truncation from all callers (cli.py, voice.py,
gateway/run.py, gateway/platforms/base.py)
- Gemini TTS raises ValueError instead of silently truncating when
composed prompt exceeds the provider limit
Simplify-code fixes: removed dead all_touched_paths set, added
try/finally for scratch file cleanup on exception, clean error response
on chunk failure instead of leaking stale file_path.
The brief is single-connector (every command comes from google-workspace),
so it ships as references/daily-brief.md with a pointer + load trigger in
SKILL.md — progressive disclosure instead of a new skill-index entry.
Contributor's procedure preserved (half-open day windows, mail-to-meeting
linking with fuzzy-match discipline, 7-section brief, bounded actions);
credit noted in the reference header. Tests (8) guard the wiring and
disciplines. Version 1.1.0 -> 1.2.0.
The coverage warning listed bare page ranges, which tells the agent
WHERE the gaps are but not WHAT they contain — its only options were
guessing or OCRing everything. Each gap is now labeled with the last
text extracted before it (usually a section divider page), so the agent
can decide which gaps it actually needs and render/OCR only those.
Gap list capped at 20 entries with a summary line for pathological
alternating documents.
Rewrote from a sibling-skill routing table into a skill that carries its
own procedure, and folded in generalized rules from maintainer practice:
- full-thread reads (gh issue view --comments; newest comment = live state)
- duplicate-PR sweep (issue number + keyword variants) before any code
- design-intent check via git log -p -S alongside premise reproduction
- fix the class: sweep sibling call sites into the same PR
- sabotage run: prove the regression test fails without the fix
- open the PR immediately (PR dispatches CI; CI latency is the long pole)
- close the loop: comment the issue with the PR link
Also: description 205 -> 59 chars, author credits Ben Barclay first,
modern section order, boilerplate trimmed, tests (10) incl. a
router-pattern guard, scoped docs regen.
The non-streaming /v1/responses path built function_call and
function_call_output output items with no status field (and no item id),
while the SSE streaming path correctly emits status in_progress ->
completed. Spec-strict OpenAI clients reading the non-streaming output
array could interpret the status-less function_call items as pending
calls the CLIENT must execute — but these tools were already executed
server-side by the Hermes agent and are replayed for structured tool UI
only. Reported by a community user whose GPT-5.6 client concluded 'a
server should not tell an OpenAI client to execute a tool the server
already executed itself'.
- _extract_output_items now stamps status: completed and spec-shaped
item ids (fc_/fco_) on replayed items, matching the streaming path
- test updated to pin status + id shape
- docs example updated + explicit note that output tool calls are
replayed, never pending
- description 219 -> 58 chars
- author credits Ben Barclay (benbarclay) first
- modern section order; trimmed template safety boilerplate into
step-local rules and a skill-specific verification checklist
- tests at tests/skills/test_email_inbox_triage_skill.py (9 passing)
- docs regen scoped: per-skill page + one catalog row + one sidebar line
--resume latest resolves the most recent session through the same
workspace-scoped MRU lookup as -c (TUI source first under --tui, with
classic-CLI fallback). --in DIR chdirs before session resolution so the
lookup keys off DIR's workspace, and pins the session there by skipping
the recorded-cwd restore.
Requested by @Jeff9James: hermes --tui --resume latest --in ./dir
Eva
Gille
Teknium
Jakub Wolniewicz
Nikita Barkov
Jeffrey Quesnelle
Hermes Agent
Laith Weinberger
kshitij
Ken Weiner