Showing 4 open source projects for "hermes"

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    Ship Agents Faster

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    Hermes Agent

    Hermes Agent

    The agent that grows with you

    Hermes Agent is a fully open-source autonomous AI agent designed to run persistently on your own machine or server, becoming more capable the longer it operates by learning from experience and building reusable procedural skills. Rather than functioning as a stateless chatbot, it maintains long-term memory across sessions and can generate searchable “Skill Documents” that capture how it solved complex tasks so it doesn’t start from scratch each time.
    Downloads: 55 This Week
    Last Update:
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  • 2
    Hermes Web UI

    Hermes Web UI

    The best way to use Hermes Agent from the web or from your phone

    Hermes WebUI is a browser-based interface for interacting with the Hermes autonomous agent, providing full feature parity with its command-line experience. It offers a clean, multi-panel layout that includes chat interaction, session management, and workspace file browsing. The interface allows users to manage agent sessions, configure models, and interact with persistent memory systems directly from a web environment.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Agent Apprenticeship

    Agent Apprenticeship

    The living ecosystem where AI agents complete tasks

    ...Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. It is designed for long-horizon agent work, workflow evaluation, runtime training, and shared improvement across an agent ecosystem.
    Downloads: 0 This Week
    Last Update:
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  • 4
    AgentHandover

    AgentHandover

    AgentHandover observes, learns and teaches agents with skills

    AgentHandover is a Mac-focused system that observes how a user works and converts repeated workflows into reusable, self-improving skills for AI agents. It is designed for tools such as Claude Code, OpenClaw, Codex, Hermes, Cursor, Windsurf, and other MCP-compatible environments. Instead of asking users to manually write long prompts or static automation instructions, it records real actions, infers decision logic, and produces skills that include steps, strategy, guardrails, selection criteria, and writing style. The project supports both focused recording for specific tasks and passive discovery for workflows that appear repeatedly over time. ...
    Downloads: 0 This Week
    Last Update:
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