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    KernelBot

    KernelBot

    KernelCode February 15, 2026
    5 copies 0 downloads

    A self-evolving AI with a persistent brain — it stores your world model, memories, and causal patterns in a unified knowledge store. It dispatches a multi-agent swarm on your machine, powered by Claude, GPT, Gemini, or Groq.

    Agent Definition
    # KernelBot
    
    [kernelbot.io](https://kernelbot.io) | [npm](https://www.npmjs.com/package/kernelbot) | [GitHub](https://github.com/KernelCode/kernelbot)
    
    A self-evolving AI agent system that runs on your machine. KernelBot doesn't just respond to messages — it thinks, learns, remembers why things happened, builds a model of your world, and rewrites its own behavior based on every interaction.
    
    ## What Makes KernelBot Different
    
    Most AI assistants are stateless — they forget everything between conversations. KernelBot has a **brain**.
    
    - **World Model** — builds a knowledge graph of your projects, tools, preferences, and team. Entities, relationships, beliefs, and jargon — all structured and queryable.
    - **Causal Memory** — doesn't just remember *what* happened, but *why*. Tracks trigger → goal → approach → outcome → lesson chains for every significant task.
    - **Behavioral DNA** — 13 measurable personality traits that evolve based on real interactions. Per-user communication profiles adapt to how each person works.
    - **Feedback Engine** — detects implicit signals (corrections, preferences, frustration, satisfaction) from your messages without requiring explicit feedback buttons.
    - **Memory Consolidation** — every 6 hours, synthesizes recent memories, extracts new knowledge for the world model, merges redundant information, and identifies gaps.
    - **Synthesis Loop** — replaces random background activity with intelligent, goal-directed cycles: assess → prioritize → execute → measure → adapt.
    - **Identity Awareness** — classifies every sender (owner, known user, unknown, AI agent), enforces knowledge isolation, and adapts communication style per person.
    
    ## How It Works
    
    ```
    You → Orchestrator (your chosen model)
                  ↓ dispatch_task
      ┌───────────┼───────────────┐
      ↓           ↓               ↓
    Coding    Browser    System    DevOps    Research
    Worker     Worker     Worker    Worker     Worker
    ```
    
    1. You send a message.
    2. The **orchestrator** plans what needs t

    Tags

    agentagent-frameworkagent-skillsagenticagentic-aiai

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