Hermes Agent ⚕

[robi]

Hermes Agent

The fully open-source AI agent that grows with you. Install it on a machine, give it your messaging accounts, and it becomes a persistent personal agent — learning your projects, building its own skills, running tasks on a schedule, and reaching you wherever you are. An autonomous agent that lives on your server, remembers what it learns, and gets more capable the longer it runs.

Use any model you want — log in with a Nous Portal subscription for zero-config access, connect an OpenRouter key for 200+ models, or point it at your own VLLM/SGLang endpoint. Switch with hermes model — no code changes, no lock-in.

Built by Nous Research. Under the hood, the same architecture powers batch data generation and RL training environments for training the next generation of tool-calling models.

A real terminal interface	Not a web UI — a full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output. Built for people who live in the terminal and want an agent that keeps up.
Lives where you do	Telegram, Discord, Slack, WhatsApp, and CLI — all from a single gateway process. Send it a voice memo from your phone, get a researched answer with citations. Cross-platform message mirroring means a conversation started on Telegram can continue on Discord.
Grows the longer it runs	Persistent memory across sessions — the agent remembers your preferences, your projects, your environment. When it solves a hard problem, it writes a skill document for next time. Skills are searchable, shareable, and compatible with the agentskills.io open standard. A Skills Hub lets you install community skills or publish your own.
Scheduled automations	Built-in cron scheduler with delivery to any platform. Set up a daily AI funding report delivered to Telegram, a nightly backup verification on Discord, a weekly dependency audit that opens PRs, or a morning news briefing — all in natural language. The gateway runs them unattended.
Delegates and parallelizes	Spawn isolated subagents for parallel workstreams — each gets its own conversation and terminal. The agent can also write Python scripts that call its own tools via RPC, collapsing multi-step pipelines into a single turn with zero intermediate context cost.
Real sandboxing	Five terminal backends — local, Docker, SSH, Singularity, and Modal — with persistent workspaces, background process management, with the option to make these machines ephemeral. Run it against a remote machine so it can't modify its own code.
Research-ready	Batch runner for generating thousands of tool-calling trajectories in parallel. Atropos RL environments for training models with reinforcement learning on agentic tasks. Trajectory compression for fitting training data into token budgets.

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Quick Install

Linux/macOS:

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash