install firekeep

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    install firekeep

    1

    Install and connect Firekeep to give your AI agents persistent memory and cross-session context.

    Free

    3 installsSecurity scanned

    install firekeep

    Example session with this skill installed

    Install Firekeep for me so you can remember what we worked on yesterday.

    • Read your context and instructions
    • Compiled the install firekeep

    I have installed the Firekeep client kit. Would you like to:

    1. Set up a server on this machine (requires Docker)
    2. Join an existing server with a code
    3. Connect to a running server address
    4. Finish setup later?

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    AI agents suffer from amnesia. They forget decisions, context, and past work the moment a session ends or you switch between Claude Code and a desktop agent.

    What it does

    • Checks for existing Firekeep client installations and validates connection health via firekeep doctor.
    • Installs the Firekeep client kit across macOS, Linux, and Windows (PowerShell) environments.
    • Coordinates server connections using join codes, direct host addresses, or local container provisioning.
    • Provisions a full local memory stack including Neo4j, Qdrant, Redis, and Ollama using Docker.
    • Diagnoses and repairs connection failures, authentication issues, and model sync warnings.

    Frameworks & tools

    Firekeep, Docker, Claude Code, Codex, Kiro, OpenCode, Neo4j, Qdrant, Redis, and Ollama.

    Why this beats prompting it yourself

    Manually setting up a persistent memory layer requires managing multiple database containers, handling platform-specific shims, and debugging complex network connections between the agent and the server. This skill automates the installation flow and uses the native doctor utility to ensure the context layer is actually functional before you start working.

    Use cases

    • Give your agent long-term memory across different machines and sessions.
    • Set up a self-hosted RAG server for private document and mail indexing.
    • Connect a new developer machine to a shared team memory via join codes.
    • Resolve "command not found" errors when Firekeep tools are missing from the path.

    Known limitations

    Does not support manual configuration of privacy-sensitive document indexing. Local server provisioning requires Docker to be pre-installed and running.

    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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    3 installs

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    Trust & safety

    Security scanned

    Verified clean 2 months ago

    • Free to download with an account

    Requires

    Firekeep

    Listed2 months ago

    What's inside

    Frequently Asked Questions