Run models locally as a first-class provider. The CLI grows a managed
llama.cpp runtime (engine install, model download, server supervision);
the desktop app grows the full setup and management story on top of it.
GUI surfaces ship behind the desktop --local launch flag (hermes desktop
--local, or the flag on the packaged app); backend routes and the CLI
are always live.
Runtime (hermes_cli/local_runtime/):
- curated GGUF catalog with per-machine variant selection: hardware
probe (VRAM/RAM/UMA), fit planning with spill accounting, quant choice
by context window
- derived recommendation: quality-ranked picks gated by a predicted
decode-speed floor, bandwidth-aware on unified memory; the decision
table is pinned as a test (pick AND reason per memory class), and the
Recommended badge explains its pick in a tooltip fed by the resolver's
actual branch
- engine install + model download with resumable split parts, cumulative
plan-level progress, and staged-model integrity (a split GGUF counts
only when every part is present)
- server supervision: spawn/adopt/stop, router mode with per-model load
progress relayed over SSE, abandoned-request cleanup
Desktop:
- Settings -> Providers -> Local models: one-click quickstart (install
engine, download the recommended model, boot) plus per-model download/
activate/eject, fit-ranked catalog with context pills
- model pickers (composer dropdown + Cmd+K) show staged local models,
in-flight downloads as live progress rows, and load-into-memory bars
- local-setup campaign tip for eligible hardware; System resources
statusbar widget (GPU/VRAM/RAM); in-chat load progress during sends
- friendly dead-server errors, and failed agent builds retry on the next
send instead of wedging the session
Co-developed with NVIDIA field feedback on RTX 5090 and DGX Spark.
Cross-checked 75 docs pages under user-guide/messaging/, developer-guide/,
guides/, and integrations/ against the live registries and gateway code.
messaging/
- index.md: API Server toolset is hermes-api-server (was 'hermes (default)');
Google Chat slug is hermes-google_chat (underscore — plugin name uses _).
- google_chat.md: drop bogus 'pip install hermes-agent[google_chat]' (no such
extra); list the actual deps (google-cloud-pubsub, google-api-python-client,
google-auth, google-auth-oauthlib).
- qqbot.md: config namespace is platforms.qqbot (was platforms.qq, which is
silently ignored by the adapter); QQ_STT_BASE_URL is not read directly —
baseUrl lives under platforms.qqbot.extra.stt.
- teams-meetings.md: 'hermes teams-pipeline' is plugin-gated (teams_pipeline
plugin must be enabled), not a built-in subcommand.
- sms.md: example log line 0.0.0.0:8080 -> 127.0.0.1:8080 (default
SMS_WEBHOOK_HOST).
- open-webui.md: API_SERVER_* are env vars, not YAML keys — write them to
per-profile .env, not 'hermes config set' (same pattern fixed in
api-server.md last round). Also bumped example ports to 8650+ to dodge the
default webhook (8644)/wecom-callback (8645)/msgraph-webhook (8646)
collision.
developer-guide/
- architecture.md: tool/toolset counts (61/52 -> 70+/~28); LOC stamps for
run_agent.py, cli.py, hermes_cli/main.py, setup.py, mcp_tool.py,
gateway/run.py replaced with 'large file' to stop drifting.
- agent-loop.md: same LOC drift (~13,700 -> 'a large file (15k+ lines)').
- gateway-internals.md: '14+ external messaging platforms' -> '20+'; gateway
platform tree updated (qqbot is a sub-package, not qqbot.py; added
yuanbao.py, feishu_comment.py, msgraph_webhook.py); 'gateway/builtin_hooks/
(always active)' was wrong — it's an empty extension point and
_register_builtin_hooks() is a no-op stub.
- acp-internals.md: drop fictional 'message_callback' from the bridged-
callbacks list; clarify thinking_callback is currently set to None.
- provider-runtime.md: provider list was missing AWS Bedrock, Azure Foundry,
NVIDIA NIM, xAI, Arcee, GMI Cloud, StepFun, Qwen OAuth, Xiaomi, Ollama
Cloud, LM Studio, Tencent TokenHub. Fallback section described only the
legacy single-pair model — corrected to the canonical list-form
fallback_providers chain.
- environments.md: parsers list missing llama4_json and the deepseek_v31
alias; both register via @register_parser.
- browser-supervisor.md: drop reference to scripts/browser_supervisor_e2e.py
which doesn't exist in-repo.
- contributing.md: tinker-atropos is a git submodule — note that
'git submodule update --init' is required if cloning without
--recurse-submodules.
guides/
- operate-teams-meeting-pipeline.md: cron flags were all wrong — schedule is
positional (not --schedule), the script-only flag is --no-agent (not
--script-only), and there's no --command flag. Replaced with a real example
that creates the script under ~/.hermes/scripts/ and uses the actual flags.
Also replaced fictional 'hermes cron show <name>' with 'hermes cron status'.
- automation-templates.md: 'cron create --skills "a,b"' doesn't work —
the flag is --skill (singular, repeatable). Fixed all 5 occurrences via AST
rewrite.
- minimax-oauth.md: 'hermes auth add minimax-oauth --region cn' silently
fails because --region isn't registered on the auth-add argparse spec.
Pointed users at the minimax-cn provider (or MINIMAX_CN_API_KEY env) for
China-region access.
- cron-script-only.md: 'hermes send' is fictional — replaced the comparison-
table mention with a webhook-subscription pointer; also fixed the dead link
to /guides/pipe-script-output (page doesn't exist).
- cron-troubleshooting.md: 'hermes serve' isn't a real subcommand. Pointed
at 'hermes gateway' (foreground) / 'hermes gateway start' (service).
- local-ollama-setup.md: 'agent.api_timeout' is not a config key. The right
knob is the HERMES_API_TIMEOUT env var.
- python-library.md: run_conversation() return dict has only final_response
and messages — task_id is stored on the agent instance, not echoed back.
- use-mcp-with-hermes.md: '--args /c "npx -y …"' wraps the npx command in
one quoted string, so cmd.exe gets a single arg instead of the multi-token
command line it needs. Removed the surrounding quotes — argparse nargs='*'
collects each token correctly.
integrations/
- providers.md: Bedrock guardrail YAML keys were 'id'/'version' (don't exist);
actual keys are guardrail_identifier/guardrail_version (matches DEFAULT_CONFIG
and the run_agent.py reader). GMI default base URL (api.gmi.ai/v1 ->
api.gmi-serving.com/v1) and portal URL (inference.gmi.ai -> www.gmicloud.ai)
refreshed. Fallback section rewritten to lead with the canonical
fallback_providers list form (was leading with the legacy fallback_model
single dict); supported-providers list extended to include azure-foundry,
alibaba-coding-plan, lmstudio.
index.md
- '68 built-in tools' -> '70+'; '15+ platforms' was both inconsistent with
integrations/index.md ('19+') and undercounted — bumped to 20+ and added
Weixin/QQ Bot/Yuanbao/Google Chat to the list.
Validation: 'npm run build' clean (exit 0); broken-link count unchanged at
155 (same as round-1 post-skill-regen baseline). 24 files, +132/-89.
Step-by-step guide covering Ollama installation, model selection,
Hermes configuration, speed optimization, and optional gateway bot
setup — all running on local hardware with zero API cost.
Includes hardware requirements, model comparison table with tool-call
support status, context window tuning, GPU offloading tips, fallback
provider setup, troubleshooting, and cost comparison.
emozilla