- Hoist todo to first-class widget (shadcn checkboxes, brand colors, no
tool-accordion). Header derives label from active task; non-active rows fade.
- Replace raw JSON dumps with structured key/value summaries via
formatToolResultSummary; nested error extraction for clearer failures.
- Fix loaded-session grouping: stitch interleaved assistant/tool iterations
into one bubble instead of orphaned synthetic messages.
- Stable tool/thinking timers via keyed registry so unmount/scroll doesn't
reset elapsed counts; gate "running" on real live thread state.
- Reorganize chat-only assistant-ui components under components/chat/.
`sync_skills(quiet=True)` was only being called from inside `cmd_chat`,
which meant `hermes dashboard` (the desktop GUI's backend) and `hermes
gateway` (Telegram/Discord/Slack/etc daemons) never seeded the bundled
skill library into ~/.hermes/skills/.
This surfaced as "No skills found" in the desktop GUI's skills panel on
fresh installs, despite the agent having access to the full bundled
library when invoked via `hermes chat`. scripts/install.ps1 worked
around it by running skills_sync.py as part of Copy-ConfigTemplates,
but that's not part of the desktop installer's bootstrap chain.
Fix
- Extract the skills-sync block from cmd_chat into a module-level
`_sync_bundled_skills_quietly()` helper.
- Call the helper from cmd_chat (preserving existing behavior),
cmd_dashboard (after the --status/--stop early-return paths and
fastapi import check, so we don't run skills_sync on management
commands or when deps aren't installed), and cmd_gateway.
Why these three entrypoints
- cmd_chat: the user's primary CLI entrypoint
- cmd_dashboard: the desktop GUI's backend; this is what `hermes
dashboard --tui` invokes when the desktop bootstrapper spawns Hermes
- cmd_gateway: long-running daemons where the user expects the agent
to have full skill access
Other entrypoints (cmd_config, cmd_doctor, cmd_login, cmd_status,
etc.) are management commands that don't need skill discovery and were
never running skills_sync in the first place — leaving them alone.
Idempotence
- tools/skills_sync.py is manifest-based: skipped skills cost
milliseconds. Calling it from multiple entrypoints adds no real
cost, and users running `hermes chat` then `hermes dashboard` get
two fast no-ops on the second call.
Failure handling
- Helper wraps skills_sync in try/except. Skills are an enhancement,
not a hard dependency — Hermes runs fine with an empty skills/ dir.
Files
- hermes_cli/main.py:
+ new helper `_sync_bundled_skills_quietly()` at module level
+ cmd_chat: replace inline block with helper call
+ cmd_dashboard: add helper call after fastapi import succeeds
+ cmd_gateway: add helper call before delegating to gateway_command
The packaged Windows installer now detects Python 3.11+ and Git for Windows
at install time and offers to install missing prereqs via winget. Mirrors
the prereq logic scripts/install.ps1 already runs for CLI installs, so
desktop installer users get the same out-of-the-box experience as
install.ps1 users.
Why
- Hermes' terminal tool calls bash.exe directly (tools/environments/
local.py); on Windows that's Git Bash from Git for Windows. Without it,
the agent fails on the first terminal() call.
- Hermes' Python runtime needs 3.11+. Without it, the desktop bootstrapper
errors out at venv creation.
- Both gaps surfaced on a fresh Windows 11 VM smoke test: VM had Python
pre-installed but no Git, so the agent's first terminal call failed
with "Git Bash isn't installed."
- install.ps1 has had Install-Git + Install-Uv functions for ages. The
desktop installer was the asymmetric outlier.
How — NSIS prereq page
- New file: apps/desktop/installer/prereq-check.nsh (plugged into
electron-builder via build.nsis.include)
- Real Wizard page using nsDialogs, inserted via customPageAfterChangeDir
hook (between the Directory page and InstFiles).
- Group boxes for Python and Git, each showing detection status.
- Pre-checked install checkboxes when winget is available.
- Auto-skips silently if both prereqs are already installed.
- Falls back to manual download URLs when winget itself is missing.
- Detection:
- Python: probes `py -3.11`/`-3.12`/`-3.13`/`-3.14` via the Python
launcher. Microsoft Store "Python stub" (no py.exe) is correctly
classified as not-installed.
- Git: `where git`.
- winget: `where winget` (Win10 1809+ / Win11 with App Installer).
- Install execution (in customInstall macro):
- Python: nsExec::ExecToLog with `--scope user --silent`. Per-user
install, no UAC prompt, output streams to install log.
- Git: ExecShellWait via Windows ShellExecute. Critical because Git
always installs per-machine and triggers UAC; ShellExecute preserves
the foreground focus chain across non-elevated → elevated process
spawns, so UAC actually comes to the foreground. nsExec::ExecToLog
breaks the chain because winget runs hidden.
- Both pass `--disable-interactivity --accept-package-agreements
--accept-source-agreements` to suppress winget's own dialogs.
- Verification: probes Git's standard install locations via FileExists
rather than `where git`. NSIS's process inherits PATH at startup, so
a freshly-installed Git won't be visible to `where` until restart.
- Silent installs (/S) skip the prompts; managed deploys handle prereqs
out-of-band via Group Policy / Intune.
How — Electron-side safety net
- New findGitBash() in main.cjs, parallel to findSystemPython(). Probes
the same locations as tools/environments/local.py:_find_bash() so a
positive result here means the agent's terminal tool will work.
- ensureRuntime now throws a clear, actionable error on Windows when Git
Bash isn't found, matching the existing "Python 3.11+ is required"
error path.
- Catches users the NSIS page doesn't: .msi installer users (NSIS prereq
page doesn't run for MSI), `npm run dev` users, manual installers,
anyone who unchecked the install boxes on the NSIS prereq page.
- All gated on `IS_WINDOWS`; macOS / Linux unaffected.
NSIS build issue (resolved)
- electron-builder defaults to `-WX` (warnings as errors). NSIS optimizer
emits "warning 6010: function not referenced" for our page functions
because Page custom directives don't count as references in its
static-analysis pass. The functions ARE called at runtime when NSIS
invokes the page; the optimizer just can't see it statically.
- Set `build.nsis.warningsAsErrors=false` in package.json so this
spurious warning doesn't fail the build. (Documented option from
electron-builder's nsisOptions.)
Out of scope (filed for future work)
- MSI prereq detection: Windows Installer custom actions are a different
mechanism. Enterprise deploys typically handle prereqs via GP/Intune.
- Bundle PortableGit + python-build-standalone in extraResources for
zero-network installs. ~80MB increase.
- Mac / Linux GUI prereq flows (different installer formats; Xcode CLT
covers most macOS prereqs already; Linux is per-distro hard).
Files
- apps/desktop/installer/prereq-check.nsh (new, ~290 lines NSIS)
- apps/desktop/package.json (build.nsis.include +
warningsAsErrors)
- apps/desktop/electron/main.cjs (findGitBash + preflight)
- apps/desktop/README.md (Runtime prerequisites
section)
Cross-platform impact
- macOS / Linux builds (dist:mac, dist:mac:dmg, dist:mac:zip): nsis
config is ignored entirely; .nsh is dormant.
- npm run dev: .nsh dormant; main.cjs preflight gated on IS_WINDOWS.
- scripts/install.ps1, scripts/install.sh: no reference to any new
files; CLI install paths untouched.
- Hermes CLI / dashboard / gateway: no reference; runtime untouched.
- All checks: node --check on main.cjs and test-desktop.mjs pass;
npm run test:desktop:platforms 4/4 passing; node --test green.
Tested
- npm run dist:win produces signed .exe and .msi without errors.
- Fresh Win11 VM (Python pre-installed, no Git): prereq page renders,
Python check shows detected, Git checkbox pre-checked. Click Next →
Git installs via winget with UAC prompt in foreground.
- After install completes, Hermes launches and the agent's terminal
tool can run bash commands. Verified Git Bash is detected at
`C:\Program Files\Git\bin\bash.exe` by ensureRuntime's preflight.
Make the desktop app's runtime layout match what scripts/install.ps1 and
scripts/install.sh produce, so a desktop-only user and a CLI-only user end
up with the same files in the same places and can share one install.
Layout
- ACTIVE_HERMES_ROOT = HERMES_HOME/hermes-agent (was: process.resourcesPath/hermes-agent, read-only)
- VENV_ROOT = HERMES_HOME/hermes-agent/venv (was: userData/hermes-runtime)
- desktop.log = HERMES_HOME/logs/desktop.log (was: userData/desktop.log)
- HERMES_HOME default: %LOCALAPPDATA%\hermes on Windows, ~/.hermes elsewhere
The packaged .app/.exe still ships a read-only payload at
process.resourcesPath/hermes-agent (FACTORY_HERMES_ROOT). On first launch
or after an installer-driven upgrade we sync factory -> active, then
provision the venv and run pip install -e . against the active root.
Key behaviors
- Pin HERMES_HOME in the spawned Python's env so get_hermes_home() resolves
to the same path resolveHermesHome() picked. Without this, Python falls
back to ~/.hermes on every platform - fine on mac/linux, a split-state
bug on Windows where our default is %LOCALAPPDATA%\hermes.
- Detect developer installs by .git presence at ACTIVE; never overwrite
a user's checkout via factory sync.
- Marker at ACTIVE/.hermes-desktop-runtime.json (schema v4) tracks
pyproject hash + factory version + runtime schema version. depsFresh
fast-paths when nothing changed.
- Dev (npm run dev) prefers SOURCE_REPO_ROOT over ACTIVE so devs run
their local edits, not whatever's under HERMES_HOME.
- Better error messages distinguish "no payload" from "no Python".
- Preserve a legacy ~/.hermes on Windows when no %LOCALAPPDATA%\hermes
exists, so users with prior pip/manual installs aren't orphaned.
pyproject.toml
- Promote fastapi, uvicorn[standard], ptyprocess (non-Windows), and
pywinpty (Windows) to main dependencies. The dashboard backend
(hermes dashboard) needs them at runtime; the previous lazy-import
fallback was a footgun for fresh installs.
- Empty the [pty] optional-extra; kept as a no-op back-compat alias for
any existing pip install hermes-agent[pty] invocations.
Drops the hardcoded BUNDLED_RUNTIME_REQUIREMENTS list in main.cjs - the
desktop now installs whatever pyproject.toml says, single source of truth.
Files
- apps/desktop/electron/main.cjs: runtime layout, HERMES_HOME pin,
factory->active sync, marker v4
- apps/desktop/scripts/test-desktop.mjs: track new venv location
- apps/desktop/README.md: new Setup, Runtime Bootstrap, and
Debugging sections
- pyproject.toml: fastapi/uvicorn/pty backends in main
dependencies; [pty] extra emptied
Tested locally on Windows: npm run dev boots cleanly, sessions land at
the new location, type-check + lint + test:desktop:platforms all pass.
Verified end-to-end on a fresh Win11 VM via dist:win installer.
Known gaps (filed as follow-ups, not in this PR):
- Skills not seeded on packaged installs (sync_skills only runs in
cmd_chat, not cmd_dashboard). Need to move to shared pre-dispatch.
- Git Bash not bundled or detected; agent's terminal tool errors out
with a useful message but desktop bootstrapper should pre-flight it.
- install.ps1 / install.sh should be decomposed into composable phase
libraries so the desktop bootstrapper can reuse them as a single
source of truth across all install surfaces.
Two follow-ups from self-review:
1. Add gpt-5.3-codex-spark to DEFAULT_CONTEXT_LENGTHS at 128k. The
primary resolution path for Spark goes through provider='openai-codex'
→ _CODEX_OAUTH_CONTEXT_FALLBACK (already correct). But if any future
code path resolves Spark's context with a different provider (custom
proxy, generic fallthrough), the longest-substring-first lookup in
step 8 would match 'gpt-5' and report 400k, which is wrong by ~3x.
Adding the explicit override is a cheap defensive correctness fix
matching how gpt-5.4-mini and gpt-5.4-nano already shadow the generic
gpt-5 entry.
2. Update test_openai_codex_model_validation_fallback.py docstring. The
bug it was originally written for (gpt-5.3-codex-spark missing from
listing) is now resolved by this PR's catalog restoration. The test
still validly exercises the soft-accept code path for any future
entitlement-gated Codex slug that ships before Hermes catalogs it,
but the framing was stale — clarified.
Two follow-ups from self-review:
1. Add unit test for _fetch_models_from_api covering the live HTTP path.
The salvaged PR #19530 dropped the supported_in_api:false filter in
both _fetch_models_from_api and _read_cache_models, but only the
cache path had a regression test. This adds the symmetric live-fetch
test (mocked httpx) so a future drive-by change to the HTTP path
can't silently re-introduce the filter.
2. Pin test_codex_picker_uses_live_codex_catalog to the cache fallback.
The test wrote a fake JWT and a CODEX_HOME cache, but provider_model_ids
('openai-codex') still issued a real 10s HTTP probe to
chatgpt.com/backend-api/codex/models before falling back to the cache.
That made the test slow and non-deterministic in restricted/CI
networks. Patch _fetch_models_from_api to return [] so we go straight
to the cache path the test actually means to exercise.
PR #12994 stripped gpt-5.3-codex-spark on the assumption that it was
unsupported. It's actually research-preview, ChatGPT-Pro-only, exposed
via the Codex OAuth backend at chatgpt.com/backend-api/codex/models —
not via the public OpenAI API.
Add explanatory comments in:
- DEFAULT_CODEX_MODELS / _FORWARD_COMPAT_TEMPLATE_MODELS (codex_models.py)
- _CODEX_OAUTH_CONTEXT_FALLBACK (model_metadata.py)
- list_authenticated_providers' live-discovery branch (model_switch.py)
so future maintainers don't strip the entry again. Also documents the
intentional asymmetry that Spark stays out of the "openai" provider
catalog (it isn't on the public API) and why the supported_in_api
filter is *not* applied for the openai-codex route.
Closes#6051.
Reported failure mode: agent migrated to WSL2, browser launch failed
because Playwright wasn't installed yet. Background reviewer captured
the failure as a durable skill (`browser-tool-launch-issue`) and the
agent kept refusing the browser tool for weeks after Playwright was
installed and verified working. Negative claims also propagated into
unrelated skills ("browser tools do not work", "cannot use Y from
execute_code").
Root cause: `_SKILL_REVIEW_PROMPT` and `_COMBINED_REVIEW_PROMPT` both
lean hard on "be active, save things, a pass that does nothing is a
missed learning opportunity." Neither distinguished durable knowledge
from transient environment state. The reviewer was doing what it was
told.
Fix at the write site — both prompts now carry a "Do NOT capture"
section calling out:
• Environment-dependent failures (missing binaries, fresh-install
errors, post-migration path mismatches, 'command not found',
unconfigured credentials, uninstalled packages)
• Negative claims about tools or features ("X does not work")
that harden into self-cited refusals
• Session-specific transient errors that resolved before the
conversation ended
• One-off task narratives ("summarize today's market", "analyze
this PR") — also addresses the #12812 / #4538 family
Plus a positive-reframing line: when a tool fails because of setup
state, capture the FIX (install command, config step, env var)
under an existing setup/troubleshooting skill — never "this tool
doesn't work" as a standalone constraint.
Targeted tests: 24/24 passing in tests/run_agent/test_review_prompt_class_first.py
(2 new + all existing review-prompt assertions). Substring-based
checks so future prompt edits don't false-fail.
The previous PR (#22993) gave us a structured WARNING per stream drop
but the only diagnostic was 'error_type=APIError error=Network
connection lost.' — same nothing the user started with. To actually
diagnose why subagents drop streams disproportionately we need to know
WHERE the drop happened.
Adds three breadcrumbs to the agent.log WARNING:
1. Inner exception chain. openai SDK wraps httpx errors as
APIConnectionError / APIError so the catch site only sees the
wrapper. _flatten_exception_chain walks __cause__/__context__ up to
4 levels deep and renders 'Outer(msg) <- Inner(msg)' so we can
tell ConnectError vs RemoteProtocolError vs ReadError vs
ProxyError without enabling verbose mode.
2. Upstream HTTP headers. Snapshots cf-ray, x-openrouter-provider,
x-openrouter-model, x-openrouter-id, x-request-id, server, via,
etc. from stream.response immediately after open (so they survive
even when the stream dies before the first chunk). These answer
'is one CF edge / one downstream provider responsible, or random?'
3. Per-attempt counters. bytes streamed, chunk count, elapsed time on
the dying attempt, and time-to-first-byte. Distinguishes 'couldn't
connect at all' (0s, 0 bytes) from 'died after 30s mid-stream'
(very different root causes — first is auth/routing, second is
upstream idle-kill or proxy timeout).
Plumbing:
- _stream_diag_init / _stream_diag_capture_response live on AIAgent
and produce a per-attempt dict held on request_client_holder['diag']
for closure access from the retry block.
- _call_chat_completions and _call_anthropic both initialize the diag
and increment counters per chunk/event (best-effort, never raises in
the streaming hot path).
- _log_stream_retry / _emit_stream_drop accept an optional diag and
render the new fields. Final-exhaustion log goes through the same
helper so it gets the same diagnostic dump.
- UI status line gains a brief 'after Xs' suffix when timing is
available — distinguishes 'connect failed' from 'died mid-stream'
at a glance without grepping logs.
Sample WARNING after this change:
Stream drop mid tool-call on attempt 2/3 — retrying.
subagent_id=sa-2-cafef00d depth=1 provider=openrouter
base_url=https://openrouter.ai/api/v1
error_type=APIError error=Connection error.
chain=APIError(Connection error.) <- RemoteProtocolError(peer
closed connection without sending complete message body)
http_status=200 bytes=12400 chunks=47 elapsed=12.00s ttfb=0.83s
upstream=[cf-ray=8f1a2b3c4d5e6f7g-LAX
x-openrouter-provider=Anthropic
x-openrouter-id=gen-abc123 server=cloudflare]
Tests: 10 covering diag init, header capture (whitelist enforced for
PII), exception-chain walking + depth cap, log content with full diag,
log content without diag (placeholders), UI elapsed-suffix on/off.
Closes#21794.
`/kanban`, `/kanban help`, `/kanban --help`, and `/kanban <sub> -h`
all returned broken output to the gateway and interactive CLI. Three
underlying bugs in `hermes_cli.kanban.run_slash`:
1. argparse writes help to **stdout** but `run_slash` only captured
stderr at parse time, so `-h` text was silently swallowed and
replaced with the `(usage error: 0)` sentinel.
2. The wrapping parser used `prog="/"` and routed via a synthetic
"_top → kanban" subparser, producing `usage: / kanban …` (stray
space) and `usage: /kanban kanban …` (doubled token) in error text.
3. Bare `/kanban` and `/kanban help` dumped argparse's full ~3KB
usage tree, which reads as visual garbage in a chat bubble.
Fix: drive the kanban_parser directly (no double-wrap), rewrite prog
strings on every leaf subparser, capture stdout AND stderr around
parse_args, distinguish SystemExit(0) (help — return captured stdout)
from SystemExit(2) (error — return single-line ⚠-prefixed message),
and add an explicit chat-friendly short-help block returned for bare
invocation and the help aliases (`help`, `--help`, `-h`, `?`).
Added 5 regression tests covering bare invocation, every help alias,
subcommand help, unknown action, and missing required arg.
Affects every chat platform via gateway/run.py::_handle_kanban_command
and the interactive CLI via cli.py::_handle_kanban_command.
Co-Authored-By: Nagatha (Claude Opus 4.7) <noreply@anthropic.com>
Reorder Anthropic Opus 4.7/4.6 + Sonnet 4.6 to the top, cluster free
models at the bottom of the OpenRouter list, and mirror the same
ordering into the Nous portal list (paid models only).
- Add inclusionai/ring-2.6-1t:free
- Drop minimax-m2.5, minimax-m2.5:free, sonnet-4.5, mimo-v2.5,
glm-5v-turbo, glm-5-turbo, trinity-large-preview:free,
trinity-large-thinking, qwen3.5-plus-02-15
- Replace qwen3.5-35b-a3b with qwen3.6-35b-a3b
- Drop x-ai/grok-4.20-beta from the Nous list
The composer rendered {input} inside two different parent fragments
depending on `stacked`. When auto-expand flipped `stacked` (e.g. the
moment typed text wrapped past two lines), React reconciled the two
branches as different positions and unmounted/remounted the
contenteditable. The fresh mount started empty, so any in-flight
characters — most reliably reproduced by holding a key — were lost.
Replace the conditional with a single CSS Grid whose template-areas
swap on `stacked`. The three children (menu, input, controls) keep
stable identities across the toggle; only their grid placement
changes, which the browser handles without React tearing down the
editor.
Both `_kanban_notifier_watcher` and `_kanban_dispatcher_watcher`'s
`_tick_once_for_board` called `_kb.connect(board=slug)` immediately
followed by `_kb.init_db(board=slug)`. Since `connect()` already runs
the schema + idempotent migration on first open per process, the
explicit `init_db()` was redundant — and worse, `init_db()` deliberately
busts the per-process `_INITIALIZED_PATHS` cache and re-runs the migration
on a *second* connection that races the first.
On every cold gateway start against a legacy DB this surfaced as either
`sqlite3.OperationalError: duplicate column name: <col>` or intermittent
`database is locked` errors logged at the first tick. The duplicate-column
case is now tolerated by `_add_column_if_missing` (commit 78698381a), but
the wasted second migration plus the database-is-locked race remain
fixable by skipping the redundant call entirely.
Drops `_kb.init_db(board=slug)` at both call sites and adds a regression
test in `tests/hermes_cli/test_kanban_notify.py` that pins the absence
via source inspection plus a runtime spy.
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
Subagent stream drops were spamming the parent terminal with two lines
per blip ('Connection dropped...' + 'Reconnected...') while leaving zero
breadcrumb in agent.log to debug them.
Two underlying bugs, fixed together:
1. quiet_mode raised the run_agent/tools/etc. loggers to ERROR, which
filters records before root-logger file handlers see them. The comment
claimed 'File handlers still capture everything' — that was wrong.
Removed in both run_agent.py and cli.py; console quietness already
comes from hermes_logging not installing a console StreamHandler in
non-verbose mode.
2. The stream-retry blocks emitted two _emit_status calls per drop
('⚠️ Connection dropped... Reconnecting...' + '🔄 Reconnected —
resuming…') with no provider name, so multi-provider sessions had to
dig through agent.log to attribute a drop. Replaced both call sites
with a single _emit_stream_drop helper that emits ONE line naming the
provider and error class, and always writes a structured WARNING to
agent.log with subagent_id, depth, provider, base_url, error_type.
Net UX change: 6 lines per triple-subagent drop → 3 lines, each
naming the provider. agent.log now has a structured breadcrumb per
retry that didn't exist before.
Tests: 6 new tests in tests/run_agent/test_stream_drop_logging.py
covering the logger-level guard, structured WARNING content, single
status line per drop (no Reconnected follow-up), and provider naming.
When the active main model has native vision and the provider supports
multimodal tool results (Anthropic, OpenAI Chat, Codex Responses, Gemini
3, OpenRouter, Nous), vision_analyze loads the image bytes and returns
them to the model as a multimodal tool-result envelope. The model then
sees the pixels directly on its next turn instead of receiving a lossy
text description from an auxiliary LLM.
Falls back to the legacy aux-LLM text path for non-vision models and
unverified providers.
Mirrors the architecture used in OpenCode, Claude Code, Codex CLI, and
Cline. All four converge on the same pattern: tool results carry image
content blocks for vision-capable provider/model combinations.
Changes
- tools/vision_tools.py: _vision_analyze_native fast path + provider
capability table (_supports_media_in_tool_results). Schema description
updated to reflect new behaviour.
- agent/codex_responses_adapter.py: function_call_output.output now
accepts the array form for multimodal tool results (was string-only).
Preflight validates input_text/input_image parts.
- agent/auxiliary_client.py: _RUNTIME_MAIN_PROVIDER/_MODEL globals so
tools see the live CLI/gateway override, not the stale config.yaml
default. set_runtime_main()/clear_runtime_main() helpers.
- run_agent.py: AIAgent.run_conversation calls set_runtime_main at turn
start so vision_analyze's fast-path check sees the actual runtime.
- tests/conftest.py: clear runtime-main override between tests.
Tests
- tests/tools/test_vision_native_fast_path.py: provider capability
table, envelope shape, fast-path gating (vision-capable model uses
fast path; non-vision model falls through to aux).
- tests/run_agent/test_codex_multimodal_tool_result.py: list tool
content becomes function_call_output.output array; preflight
preserves arrays and drops unknown part types.
Live verified
- Opus 4.6 + Sonnet 4.6 on OpenRouter: model calls vision_analyze on a
typed filepath, gets pixels back, reads exact text from images that
no aux description could capture (font color irony, multi-line
fruit-count list, etc.).
PR replaces the closed prior efforts (#16506 shipped the inbound user-
attached path; this PR closes the gap for tool-discovered images).
Found 18 real Hermes-Agent stories from HN, X, and Reddit not yet
captured on the page. All URLs HTTP-verified to return 200 with
matching titles.
Reddit (15): r/hermesagent (Obsidian-as-memory writeup at 794 upvotes,
LLM cheatsheet at 635 upvotes, Kanban game-changer post, OpenRouter #1
ranking, AMA from the Nous team, etc.); r/LocalLLaMA, r/Rag,
r/openclaw, r/SideProject, r/LocalLLM threads where users describe
their actual setups (Qwen3.5-9b on 16gb VRAM, 5060Ti + Telegram, smart
routing tiers).
X (3): @vmiss33's 'what I use Hermes for' guide, @HeyYanvi's
X-to-NotebookLM podcast workflow, @ExileAI_0's spare-laptop Iris
running RenPy + ComfyUI, @brucexu_eth's Hermes Inc. Telegram startup
sim from the hackathon, Hype's deep-dive blog.
HN (1): 'I'm using Hermes — sandbox it like any agent.'
No component changes — all new entries fit the existing schema
(real URL, real author, real date).
Adds test_notifier_second_blocked_delivers to cover the case where a
task is blocked, unblocked, then blocked again — the second blocked
event must still deliver a gateway notification.
Currently fails because blocked is treated as a terminal event kind,
causing the subscription to be dropped after the first block.
Linux's MAX_ARG_STRLEN caps any single argv element at 128 KB
(32 * PAGE_SIZE). The previous heredoc-in-the-command-string approach
in _write_to_sandbox put the entire tool result inside the 'bash -c'
arg, so any result over ~128 KB raised OSError [Errno 7] 'Argument
list too long' before the heredoc ever ran. The caller logged a
warning, but quiet_mode (CLI default) sets tools.* to ERROR — so the
warning never reached agent.log either, and the agent saw a 1.5 KB
preview tagged 'Full output could not be saved to sandbox'. Hits
delegate_task with 3+ subagent outputs routinely now.
Switch to passing content via env.execute(stdin_data=...). cmd is
now just 'mkdir -p X && cat > Y' (under 1 KB), and the heavyweight
payload travels through stdin where there is no argv-element limit.
E2E reproduced the user's exact 144,778-char delegate_task envelope:
old code OSError'd, new code round-trips cleanly to disk with all
three task summaries intact.
These skills require heavy GPU/CUDA stacks or are niche enough that they shouldn't
be active by default. Moved to optional-skills/ where users opt-in via
`hermes skills install official/...`.
Moved:
- mlops/training/axolotl
- mlops/training/trl-fine-tuning
- mlops/training/unsloth
- mlops/inference/outlines
Counts: 91 -> 87 built-in, 72 -> 76 optional.
Auto-regenerated docs (per-skill pages + catalogs) reflect the move.
* feat(curator): show rename map (where skills went) in user-visible summary
The full data has always been on disk in REPORT.md, but the user-visible
curator summary (gateway 💾 line, CLI session-start panel,
`hermes curator status`) was counts-only — "consolidated 4 into 2
umbrellas" with no names. Users only discovered renames when something
they expected was gone.
New `_build_rename_summary()` formats the rename map and appends it to
`final_summary`:
auto: 1 marked stale; llm: consolidated 2 into 1, pruned 1
archived 3 skill(s):
• docx-extraction → document-tools
• pdf-extraction → document-tools
• old-stale-thing — pruned (stale)
full report: hermes curator status
Empty on no-op ticks (no archives), so most ticks add zero log noise.
Cap of 10 entries keeps agent.log readable when a 50-skill
consolidation lands; the full list is always in REPORT.md.
`hermes curator status` indents continuation lines so the multi-line
summary reads as one logical field.
5 new tests in tests/agent/test_curator_classification.py covering
empty / consolidation / pruning / cap / mixed cases.
* feat(curator): show recent run summary once on `hermes update`
The rename map is now visible from where users actually look — the
update flow they explicitly run, instead of just the live gateway log
or transient CLI session-start panel.
Behavior:
- After `hermes update`, if the most recent curator run produced a
rename map (multi-line summary) that the user hasn't seen yet, print
it once with a 'last run Xh ago' header and a one-time-message
footer.
- Stamp `last_run_summary_shown_at = last_run_at` after printing so
subsequent `hermes update` invocations are silent until a newer
curator run lands.
- Silent on no-op runs (single-line summary like 'auto: no changes;
llm: no change'). Still stamps shown so we don't reconsider on
every update.
- Silent when the curator has never run (the existing first-run
notice handles that case).
Output:
ℹ Skill curator — last run 4h ago
auto: 1 marked stale; llm: consolidated 2 into 1, pruned 1
archived 3 skill(s):
• docx-extraction → document-tools
• pdf-extraction → document-tools
• old-stale-thing — pruned (stale)
full report: hermes curator status
(This message shows once per curator run. View anytime: hermes curator status)
State migration:
- `_default_state()` gains `last_run_summary_shown_at: None`. Existing
state files lack the field; `.get()` returns None; the comparison
treats any prior run as 'not yet shown' and prints once on next
update. Self-healing.
Wiring:
- Both `hermes update` paths in main.py call the new
`_print_curator_recent_run_notice()` right after the existing
first-run notice. Best-effort try/except so a state-load bug
never breaks the update flow.
6 tests in tests/hermes_cli/test_curator_recent_run_notice.py:
no-run / single-line / multi-line / show-once / new-run-resets /
time-formatter buckets.
`hermes chat -q "..."` printed the full welcome banner before
running the query — kawaii ASCII logo, available toolsets list,
available skills list, model name, session ID, working directory,
update-available notice. Building it took ~420 ms on cold start
(~200 ms version-update probe, the rest is toolset / skill enumeration
plus Rich panel rendering).
For a one-shot `-q` query the banner is noise: the user already
picked the prompt, doesn't need a toolset reference, and gets the
session ID + resume hint from `_print_exit_summary()` after the
response prints.
The fully-quiet `-Q` / `--quiet` machine-readable path was already
banner-free; this brings the human-facing single-query path in line
so all non-interactive invocations are fast.
Measured impact (`hermes chat -q "ok" --max-turns 1`, 10-run
percentiles, 9950X3D):
median: 1.90 → 1.75 s (-150 ms)
min: 1.80 → 1.73 s ( -70 ms)
P25: 1.82 → 1.74 s ( -80 ms)
Wider variance than expected; the banner cost overlaps with API
latency on real `chat -q` runs. Min-time delta of 70 ms is the
cleanest signal — that's the deterministic banner-build cost gone.
The 150 ms median delta picks up cases where the version-update
probe also finishes during the wait.
Interactive mode (`hermes` with no `-q`) and the `--list-tools` /
`--list-toolsets` one-shot listing commands still show the banner —
those are the contexts where it's actually wanted.
Tests: 656/656 `tests/cli/` pass on top of latest main (modulo 5 pre-
existing flakes in `test_cli_save_config_value.py` that fail with
`No module named 'ruamel'` both with and without this change).
The Skills Hub at /skills had cards that, when expanded, showed only the
one-line description, tags, author, version, and an install command. For
the 163 bundled and optional skills shipped with the repo, this was thinner
than the data we already have on disk.
Three changes, all under website/:
1. extract-skills.py now pulls four extra fields per local skill:
- 'overview' — first non-heading body paragraph from SKILL.md (stripped
of admonitions/code fences, capped at ~500 chars at a sentence boundary)
- 'envVars' / 'commands' — from the prerequisites: block in frontmatter
- 'license' — from the top-level frontmatter
- 'docsPath' — slug to the per-skill /docs/user-guide/skills/.../* page,
computed with the same logic as generate-skill-docs.py
162 of 163 local skills get a non-empty overview automatically. The
remaining one (media/heartmula) has only headings/code in its body and
falls through to the description.
2. Skill TS interface + SkillCard expanded-panel render the new fields:
- Overview paragraph at the top of the panel
- Prerequisites box (env vars + required commands) when frontmatter
declares them
- License row alongside author/version
- 'View full documentation →' link to the per-skill docs page
Search now covers the overview text too, so users can find skills by
matching content from inside SKILL.md, not just the one-line description.
3. styles.module.css gains six new classes (overviewBlock, detailLabel,
overviewText, prereqBlock/Row/Kind/List/Item, docsLink) styled to match
the existing dark panel aesthetic.
External / community skills (Anthropic, LobeHub, Claude Marketplace cached
indexes) keep the old behavior — overview is empty, no prereqs, no docsPath.
Validation: 'npm run build' clean (exit 0); broken-link count unchanged at
155 baseline; all 163 generated docsPath values resolve to existing pages
under website/docs/user-guide/skills/.
Same-provider /model switches on a 'custom' endpoint kept stale credentials
because (a) _resolve_named_custom_runtime's bare-custom + explicit_base_url
path went straight to OPENAI_API_KEY/OPENROUTER_API_KEY env fallbacks
without consulting the credential pool, and (b) switch_model() guarded
against custom-provider re-resolution to preserve base_url, locking in
the prior api_key.
Now the bare-custom path queries the credential pool first (mirroring
the named-custom-provider branch behavior), and the same-provider switch
guard is removed since resolve_runtime_provider has since grown a robust
custom-resolution path that preserves base_url from model_cfg.
Refs #18681 (the gateway-side api_key wiring is still separate),
#16254, #12919.
The /rollback command handler in gateway/run.py was constructing
CheckpointManager with only enabled and max_snapshots, omitting
max_total_size_mb and max_file_size_mb that the __init__ expects.
This caused a TypeError on every /rollback invocation when checkpoints
were enabled.
Fixes: NousResearch/hermes-agent#18841
Follow-up test fix for #22693 — the existing test for ps-failure +
pid-file fallback needed the /proc walk path stubbed too since /proc
is now consulted first.
Salvage of NousResearch/hermes-agent#7622.
Docker images often lack procps so `ps` is unavailable. Try reading
/proc/*/cmdline first (works in any Linux container) and fall back to
`ps -A eww` only when /proc is not present. PermissionError on
individual PIDs is silently skipped.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
run_gateway() calls refresh_systemd_unit_if_needed() on every invocation
so restart settings stay current after exit-code-75 respawns. The
user-scope unit path resolves under Path.home() (NOT sandboxed by
conftest, only HERMES_HOME is), and generate_systemd_unit() bakes the
current HERMES_HOME into the unit's Environment= line.
Result: any test that exercises run_gateway() end-to-end on a real
Linux dev box silently rewrites the developer's installed
~/.config/systemd/user/hermes-gateway.service with a polluted
HERMES_HOME pointing at /tmp/pytest-of-<user>/.../hermes_test. On the
next reboot, systemd loads that unit, the gateway starts looking at an
empty tmp dir, and Telegram/Discord/etc. all show as 'No messaging
platforms enabled' even though the user's real config is fine. Three
tests in tests/hermes_cli/test_gateway.py hit this path:
test_run_gateway_exits_cleanly_on_keyboard_interrupt,
test_run_gateway_exits_nonzero_when_start_gateway_reports_failure, and
test_run_gateway_root_guard_has_escape_hatch.
Two-layer fix:
1. _install_fake_gateway_run helper (covers all four run_gateway() call
sites in test_gateway.py and any future ones) now also stubs
supports_systemd_services and refresh_systemd_unit_if_needed.
2. refresh_systemd_unit_if_needed() itself sniffs the generated unit
body for /pytest-of- and /hermes_test markers and refuses to write
when present. Defense in depth so a future test that bypasses the
helper still can't corrupt the dev's gateway. Tests that legitimately
exercise the refresh flow (test_run_gateway_refreshes_outdated_unit_on_boot)
patch generate_systemd_unit to return synthetic content that doesn't
carry those markers, so they keep working.
Adds test_refresh_refuses_to_bake_pytest_tmpdir_into_real_user_unit as a
regression test for the source-side guard.
