Hermes Agent is an open-source AI agent framework built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions.
Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — Nous Portal, OpenRouter (200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, OpenAI, or your own endpoint. Switch with hermes model — no code changes, no lock-in.
Key capabilities include a real terminal interface with full TUI, multiline editing, slash-command autocomplete, and streaming tool output. It lives where you do via Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process with voice memo transcription and cross-platform conversation continuity.
The closed learning loop features agent-curated memory with periodic nudges, autonomous skill creation after complex tasks, self-improving skills, FTS5 session search with LLM summarization for cross-session recall, and Honcho dialectic user modeling compatible with the agentskills.io open standard.
Built-in cron scheduler enables daily reports, nightly backups, and weekly audits — all in natural language, running unattended. It delegates and parallelizes by spawning isolated subagents for parallel workstreams, and supports six terminal backends including local, Docker, SSH, Daytona, Singularity, and Modal for serverless persistence.
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