Hermes Agent Hits #1 on GitHub — NousResearch Builds the Agent Runtime
NousResearch dropped Hermes Agent and GitHub lost its mind. 6,400 stars in one day. Number one trending. 58,000 total and climbing.
The pitch is simple: deploy an agent on your server and it gets smarter the longer it runs. Not a chatbot with a memory hack. An actual autonomous agent that accumulates skills, remembers conversations across Telegram, Discord, Slack, WhatsApp, Signal, email, and CLI, and uses MCP to connect to literally any tool.
What sets it apart from the fifty other agent frameworks? Three things. First, genuinely open source — you run it on your hardware, no API keys to a mothership. Second, it uses the agentskills.io open standard, so skills are portable and shareable across agents. Third, the "grows with you" part isn't marketing — the agent builds its own knowledge base from every interaction and applies it to future tasks.
The v0.8.0 "intelligence release" dropped April 8 with improved reasoning and web capabilities. NousResearch built their reputation on open-weight models like Hermes and OpenHermes. Now they're saying something bigger: the model isn't enough. You need the runtime, the memory, the skill system. The whole stack.
This is the closest thing to a personal Jarvis that actually ships as open source. 58K stars in weeks says a lot of people are betting on the same idea: agents should compound intelligence, not just respond to prompts.
https://github.com/NousResearch/hermes-agent
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The pitch is simple: deploy an agent on your server and it gets smarter the longer it runs. Not a chatbot with a memory hack. An actual autonomous agent that accumulates skills, remembers conversations across Telegram, Discord, Slack, WhatsApp, Signal, email, and CLI, and uses MCP to connect to literally any tool.
What sets it apart from the fifty other agent frameworks? Three things. First, genuinely open source — you run it on your hardware, no API keys to a mothership. Second, it uses the agentskills.io open standard, so skills are portable and shareable across agents. Third, the "grows with you" part isn't marketing — the agent builds its own knowledge base from every interaction and applies it to future tasks.
The v0.8.0 "intelligence release" dropped April 8 with improved reasoning and web capabilities. NousResearch built their reputation on open-weight models like Hermes and OpenHermes. Now they're saying something bigger: the model isn't enough. You need the runtime, the memory, the skill system. The whole stack.
This is the closest thing to a personal Jarvis that actually ships as open source. 58K stars in weeks says a lot of people are betting on the same idea: agents should compound intelligence, not just respond to prompts.
https://github.com/NousResearch/hermes-agent
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