Artificial intelligence agents are everywhere these days, but most of them share a fundamental limitation: they don’t really learn from their experiences. You have the same conversation with them repeatedly, and they never get better. Nous Research aims to change that with Hermes Agent, a new open-source project that bills itself as “the agent that grows with you.”
A Memory That Actually Remembers
Traditional AI assistants treat every conversation as a clean slate. Hermes takes a fundamentally different approach. It maintains persistent memory across sessions, creating skills from experience and improving them during use. The agent nudges itself to retain knowledge, searches through past conversations, and builds a deepening model of who you are over time.
“The only agent with a built-in learning loop,” as the project describes itself, goes beyond simple context windows. While conventional agents can only work with what you tell them in the current session, Hermes actively works to preserve and apply knowledge from previous interactions. That customer you mentioned last week? Hermes remembers. That preference you expressed months ago? It’s still there.
Works Everywhere You Do
One of Hermes’s standout features is its multi-platform support. You can interact with it through Telegram, Discord, Slack, WhatsApp, Signal, or traditional CLI鈥攁ll from a single gateway process. Voice memo transcription and cross-platform conversation continuity mean you can start a conversation on your phone and continue it on your desktop without missing a beat.
The agent runs on a VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. With Daytona and Modal, the agent’s environment hibernates when idle and wakes on demand. This means you get persistent assistance without persistent costs.
Model Flexibility Without Lock-In
Hermes doesn’t force you into a single AI provider. You can use Nous Portal, OpenRouter (with access to 200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, OpenAI, or your own endpoint. Switching models is as simple as running the model command鈥攏o code changes, no lock-in.
This flexibility is particularly valuable for developers who want to experiment with different models for different tasks, or organizations that need to balance cost and performance across use cases.
The Skills System
Hermes includes a sophisticated skills system that allows the agent to create procedural memories and improve them autonomously. After completing complex tasks, the agent can create new skills that encapsulate what it learned. These skills then self-improve during subsequent use.
The system uses FTS5 session search with LLM summarization for cross-session recall, and is compatible with the agentskills.io open standard. There’s also a Skills Hub where users can share and discover community-created skills.
Research-Ready Architecture
For AI researchers, Hermes offers batch trajectory generation, Atropos RL environments, and trajectory compression for training the next generation of tool-calling models. The project was built by Nous Research, the team behind several notable open-source AI projects.
The installation process is straightforward鈥攔un a single curl command and you’re chatting with your new AI assistant in minutes. Windows users need WSL2, but Linux and macOS are supported natively.
Migration from OpenClaw
Interesting twist: Hermes can automatically import settings from OpenClaw, including persona files, memories, skills, API keys, and messaging configurations. If you’re already running an AI assistant setup, moving to Hermes is designed to be painless.
With over 12,000 stars on GitHub, Hermes represents an interesting evolution in the AI agent space. Instead of just providing a static set of capabilities, it attempts to create a genuinely learning system鈥攐ne that gets better at helping you specifically, over time.
The MIT-licensed project welcomes contributions and has an active Discord community for support and discussion. Whether you’re an individual looking for a more personal AI assistant or an enterprise exploring agentic workflows, Hermes offers a compelling combination of memory, flexibility, and self-improvement that sets it apart from the crowded agent space.
Leave a Reply