Hermes Agent Published by Nous ResearchOpen Source AI Agent framework, authorized by MIT protocol. Unlike IDE's programming assistant or a single API chat robot packager, Hermes Agent is an autonomous smart body deployed on a user-owned server with a permanent memory of a session and automatic skills generation capability - the framework automatically draws the solution path into a reusable skill file, calls and continuously optimizes the next time you encounter a similar task, creating a closed loop learning mechanism that is “more intelligent”. Accumulation of 33,000+GitHub Star within two months of its publication is one of the most important open-source Agent frameworks at present。
Hermes function
- Closed-ring learning mechanisms: Memory systems are in place that are self-organized by intelligent bodies and are enhanced through cyclical reminders; skills can be created automatically and continuously improved in their use; cross-conference retrieval based on FTS5 is supported, combined with a large model abstracting capability and a modelling mechanism for Honcho users。
- It operates in a variety of environments, not just your local computers: supports six terminal backends: local, Docker, SSH, Daytona, Singularity, Modal. Of these, Daytona and Modal provide a durable environment similar to that of unservered ones, which automatically sleeps when free, with little additional cost。
- The platforms that exist in you are accessible through the CLI, Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, Nailing, Flying Books, Micro-Intelligence, BlueBubbles, Home Assistant and others, all of which are centrally managed by a gateway。
- Created by model training teams: Hermes Agent, developed by Nous Research, is the research team behind the Hermes, Nomos, Psyche and others. Supports access to Nous Portal, OpenRouter, OpenAI or any custom model endpoint。
- timing automation: the built-in cron dispatch capability allows the delivery of mission results to any access platform。
- assigning and parallel processes: accomplishing an isolated sub-intelligence to handle parallel workflows; accommodating multi-step processes into a reasoned call through an execute_code programming tool。
- Open standard skills system: compatible agentskills.io, skills portable, shared and available through Skills Hub。
- Full web control capacity: support web search, information extraction, browser operations, visual understanding, image generation and text-to-speech。
- SUPPORT FOR MCP: ANY MCP SERVER CAN BE CONNECTED TO EXTEND THE TOOL CAPACITY BOUNDARY。
- Research-oriented scenario: Support batch processing, orbital export, and intensive learning training in conjunction with Agropos。
Official website link:https://hermes-agent.nousresearch.com