Hermes Agent (Nous Research)
An open-source, self-improving autonomous agent framework from Nous Research — “the agent that grows with you.” A convergence node touching most of this wiki’s themes at once, and an explicit OpenClaw successor (it imports OpenClaw users’ settings/memories/skills).
”Grows with you” — two mechanisms
- Persistent memory / personalization (durable-agents) — user profiles + cross-session recall (full-text search + LLM summarization), building “a deepening model of who you are”; hibernation between sessions.
- Closed learning loop (self-improving-agents) — autonomously creates skills after complex tasks and refines them through use, “nudging itself to persist knowledge gained.” The refinement is concretely GEPA + DSPy optimization loops, per the awesome-hermes-usecases catalog — prompt/skill optimization, not a black box.
Features
- Agentskills.io-compatible skill system (agentskills-spec) — “agent-curated memory”; publishes to a Skills Hub.
- Parallel subagents (agent-orchestration); built-in cron with natural-language tasks.
- Multi-platform gateway — Telegram/Discord/Slack/WhatsApp/Signal/CLI from one place.
- Model-agnostic — 200+ models via OpenRouter / Nous Portal / OpenAI / custom (llm-provider).
- Multi-backend deploy — $5 VPS → GPU clusters → serverless (Modal/Daytona); MCP-compatible.
- No lock-in; security-first (command approval, container isolation); research-ready (batch trajectory generation to train successor models).
Composition surface — the Profile Builder (2026-06)
Nous shipped a Profile Builder — a local web dashboard that composes an
agent from four toggleable blocks (identity / model+provider / skills / MCP servers), writing
config.yaml/.env/SOUL.md with CLI parity. It’s the concrete UX of this framework’s “agent =
identity + model + skills + MCP” composition — the wiki’s
thesis as a literal form.
Why it belongs here
A full agent framework spanning skills + orchestration + durability + self-improvement — the most integrated single instance after gstack. Its closed learning loop is compound-engineering (cross-wiki) realized inside the agent, and its persistent “deepening model of who you are” rhymes with the personal-knowledge thesis behind gbrain (cross-wiki — which already cites “Hermes agent deployments”). As an OpenClaw successor it advances the self-driven pole of claude-code-channels-vs-openclaw. (Caveat: the feature list is README claims; the awesome-hermes-usecases catalog — third-party, primary-source-gated — is the first systematic evidence these features ship in real deployments, though still usage documentation, not a benchmark. Nous’s own autonovel pipeline is the strongest first-party instance: a shipped ~79k-word novel produced end-to-end by the framework — concrete output, not a feature bullet.)
Related
self-improving-agents · durable-agents · agentskills-spec · agent-orchestration · claude-code-channels-vs-openclaw · llm-provider · gbrain · compound-engineering · hermes-profile-builder · awesome-hermes-usecases · autonovel · nous-research