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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Project Brain

    1

    One living knowledge graph for you and your AI agents: answers cite file and line, and you can browse it as a graph.

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    project-brain

    project-brain

    Example session with this skill installed

    Set up the project brain and index my current documentation.

    • Read your context and instructions
    • Compiled the project-brain

    I have initialized the project brain, built the knowledge tool, and synchronized your documentation. The knowledge graph is now active and the task queue structure has been created.

    Knowledge Setup Report

    ComponentStatusDetails
    Knowledge GraphActive12 docs, 84 sections indexed
    MCP ServerConfiguredAdded to .mcp.json
    Task QueueReadyFolders created in tasks/
    Agent FileCreatedCLAUDE.md initialized with project rules

    Knowledge Statistics:

    • Domains: architecture, api-spec, internal-docs
    • Pending: 5 nodes need summaries.
    • Storage: knowledge_data/knowledge.db (gitignored)

    Next steps

    1. Run K view to open the knowledge graph in your browser at http://127.0.0.1:7474.
    2. Decide if you want to generate the 5 pending summaries using the AI step or manual annotation.
    3. Add your first task to the tasks/ folder to begin the orchestrated workflow.
    $10/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    About this skill

    Your project's shared brain, for you and your AI agents.

    Agents forget everything between sessions, and your project's knowledge is scattered across docs, notes, specs and finished tasks. project-brain turns every markdown file into one living knowledge graph that your agents query before they answer, and that you can browse in your browser.

    What you get

    • Answers you can check: every answer cites the file and line it came from.
    • A graph you can see: a local web view where domains open into docs and sections, with summaries, links, search and filters.
    • Knowledge that knows when it's outdated: changed text is flagged for a new summary, and summaries you wrote are never overwritten.
    • Work that becomes knowledge: a task queue that parallel agent sessions work through, where each finished task records what changed and how it was checked, linked into the graph.
    • An agent that learns: your corrections become dated rules, in your own words.
    • Web pages as sources: keep any page as project knowledge, with its URL.

    How it works Your markdown files stay the source of truth. san_knowledge, the engine (Go, an embedded graph database, an MCP server and the web view), ships as readable source and is built once on your machine. It runs locally, with no API key and no vector database; optional AI summaries use your own Claude Code login.

    Requirements: Go 1.25+, Node.js 20+ (for the graph view). Made for Claude Code; the MCP server works with any MCP-capable agent.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    GitHub
    X
    Datareportal
    Go
    Node.js

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