NousResearch/hermes-agent
The agent that grows with you
Hermes Agent leads open agent frameworks with a true self-improving learning loop that builds persistent skills and models users over time. Developers deploy it on VPS to handle multi-platform workflows like Telegram bots or Slack integrations that remember past tasks and refine tools automatically.
Our Review
Hermes Agent dominates self-improving agent frameworks -- 31,032 GitHub stars and MIT license as of April 2026. Python-based, it runs agents that build skills from experience and adapt to users across sessions.
What Hermes Agent does:
- •Self-improving learning loop Creates skills from interactions, refines them during use, persists knowledge in SQLite with FTS5 search and LLM summaries.
- •200+ model support Integrates Nous Portal, OpenRouter, OpenAI, Ollama, GLM, Kimi, MiniMax for flexible inference.
- •Multi-platform gateways Deploys to Telegram, Discord, Slack, WhatsApp, Signal, CLI for real-world access.
- •40+ built-in tools Handles terminal commands, file operations, browser automation, code execution, image generation, scheduling.
- •Subagent spawning Launches parallel workstreams and child agents for complex tasks.
- •Terminal backends Supports local, Docker, SSH, Daytona, Singularity, Modal for secure execution.
- •Built-in cron scheduler Runs timed jobs with delivery across platforms.
- •MCP and skills hub Connects to agentskills.io for shared persistent skills.
Hermes Agent ecosystem:
- •Honcho user modeling Tracks preferences and styles across conversations for personalized responses.
- •OpenClaw migration Imports workflows directly with
hermes claw migratecommand. - •RL research tools Generates batch trajectories in Atropos environments for agent training.
- •Ollama integration Pairs with local models for private, offline deployments.
Getting started:
Install with curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | sh. Start a Telegram bot with hermes run --platform telegram. Check v0.7.0 release notes from April 3, 2026, at github.com/NousResearch/hermes-agent.
Limitations:
Performance scales with VPS resources -- large models need GPU. Setup demands API keys and tool config. No hosted SaaS option. Community Discord for support, no paid tiers.
Our Verdict
Developers building production AI agents pick Hermes Agent for its learning loop that retains skills across sessions. Deploy on a $5 VPS to control Telegram or Slack bots that improve over time. Handle real workflows with 40+ tools and subagents without context loss.
It beats static frameworks like AutoGPT by adding persistence, multi-platform support, and user modeling. Run RL experiments or migrate from OpenClaw for evolving intelligence.
Skip if you need no-code tools or hosted services. Choose Hermes Agent when you want agents that grow smarter with use.
Frequently Asked Questions
What is Hermes Agent and its learning loop?
Hermes Agent is a Python framework from NousResearch for self-improving AI agents. The learning loop creates skills from experience, refines them in real-time, and stores data in SQLite with FTS5 indexing for fast retrieval. For example, after a web scraping task, it distills a reusable extraction skill and matches it semantically on similar queries.
Is Hermes Agent free and open source?
Hermes Agent runs under the MIT license. Download and modify the full codebase from GitHub without restrictions. Fork it to add custom skills, swap out the SQLite backend, or integrate with any LLM provider -- all without licensing fees or usage limits.
How does Hermes Agent differ from OpenClaw?
Hermes Agent focuses on persistent learning and user modeling while OpenClaw emphasizes orchestration and tools. Hermes Agent stores user interaction history in a persistent vector database for ongoing adaptation. Choose Hermes Agent when you need agents that evolve across sessions, choose OpenClaw when you prioritize viral tool sharing.
Can developers run Hermes Agent on a $5 VPS with Telegram control?
Developers run Hermes Agent on a $5 DigitalOcean VPS. Control it via Telegram gateway after curl install and API setup. Run curl -fsSL https://get.docker.com | sh first, deploy the agent container, then use /chat command in Telegram to query models like Hermes-2-Pro.
How to install Hermes Agent?
Install Hermes Agent in 2026 with one curl command: `curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | sh`. Latest v0.7.0 supports Python 3.10+. The script creates a virtual environment and installs dependencies like torch for GPU support. Test with `hermes-agent --help` to list options such as `serve` for web UI or `run` for CLI prompts.
What is hermes-agent?
Hermes Agent leads open agent frameworks with a true self-improving learning loop that builds persistent skills and models users over time. Developers deploy it on VPS to handle multi-platform workflows like Telegram bots or Slack integrations that remember past tasks and refine tools automatically.
How do I install hermes-agent?
Visit the GitHub repository at https://github.com/NousResearch/hermes-agent for installation instructions.
What license does hermes-agent use?
hermes-agent uses the MIT license.
What are alternatives to hermes-agent?
Explore related tools and alternatives on My AI Guide.
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