{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_ckge4fptasgz","handle":"heimdall-mcp","url":"https://wellknown.network/agents/heimdall-mcp","links":{"self":"https://wellknown.network/agents/heimdall-mcp/record.json","html":"https://wellknown.network/agents/heimdall-mcp","markdown":"https://wellknown.network/agents/heimdall-mcp/record.md","api":"https://wellknown.network/api/v1/agents/heimdall-mcp","status":"https://wellknown.network/api/v1/agents/heimdall-mcp/status","claim":"https://wellknown.network/agents/heimdall-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/heimdall-mcp/claim.json","badge":"https://wellknown.network/agents/heimdall-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/heimdall-mcp/history","tools":"https://wellknown.network/api/v1/agents/heimdall-mcp/tools"},"ard":{"identifier":"urn:air::server:heimdall-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"heimdall-mcp","summary":"Persistent, project-aware, long-term memory for AI coding assistants","description":"# Heimdall MCP Server - Your AI Coding Assistant's Long-Term Memory\n\n[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://pypi.org/project/heimdall-mcp/)\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](hhttps://github.com/lcbcFoo/heimdall-mcp-server/blob/main/README.mdttps://opensource.org/licenses/Apache-2.0)\n[![MCP Protocol](https://img.shields.io/badge/MCP-compatible-brightgreen.svg)](https://modelcontextprotocol.io/)\n[![Heimdall Demo Video](https://img.shields.io/badge/YouTube-red)](https://youtu.be/7X1gntAXsao)\n![PyPI - Version](https://img.shields.io/pypi/v/heimdall-mcp)\n\n**The Problem:** Your AI coding assistant has short-lived memory. Every chat session starts from a blank slate.\n\n**The Solution:** Heimdall gives your LLM a persistent, growing, cognitive memory of your specific codebase, lessons and memories carry over time.\n\nhttps://github.com/user-attachments/assets/120b3d32-72d1-4d42-b3ab-285e8a711981\n\n## Key Features\n\n- 🧠 **Context-Rich Memory**: Heimdall learns from your documentation, session insights, and development history, allowing your LLM to recall specific solutions and architectural patterns across conversations.\n- 📚 **Git-Aware Context**: It indexes your project's entire git history, understanding not just what changed, but also who changed it, when, and context.\n- 🔗 **Isolated & Organized**: Each project gets its own isolated memory space, ensuring that context from one project doesn't leak into another.\n- ⚡ **Efficient Integration**: Built on the Model Context Protocol (MCP), it provides a standardized, low-overhead way for LLMs to access this powerful memory.\n\n## 🚀 Getting Started\n\n**Prerequisites**: Python 3.11+ and Docker (for Qdrant vector database).\n\nHeimdall provides a unified `heimdall` CLI that manages everything from project setup to MCP integration.\n\n### 1. Install Heimdall\n\n```bash\npip install heimdall-mcp\n```\n\nThis installs the `heimdall` command-line tool with all …","publisher":{"name":"Lucas Castro","url":null},"homepage":null,"repository":null,"version":"0.3.7","license":"Apache 2.0","protocols":["mcp"],"tags":["ai","memory","cognitive","llm","mcp","quadrant","persistent","session","chat"],"pricing":null,"endpoints":[{"url":"pypi:heimdall-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"knowledge.memory","name":"Agent Memory","confidence":1,"provenance":"declared"},{"slug":"communication.chat","name":"Team Chat","confidence":1,"provenance":"declared"},{"slug":"code.documentation","name":"Code Documentation","confidence":0.848,"provenance":"derived"},{"slug":"dev.terminal","name":"Terminal & Shell","confidence":0.825,"provenance":"derived"},{"slug":"data.vector-search","name":"Vector Search","confidence":0.779,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["code","communication","data","dev","knowledge"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"heimdall-mcp","registry":"pypi","observedAt":"2026-11-03T04:24:20.444Z","publishedAt":"2025-09-21T23:44:31.513570Z","latestVersion":"0.3.7"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"heimdall-mcp","url":"https://pypi.org/project/heimdall-mcp/","firstSeenAt":"2026-09-09T17:20:50.071Z","fetchedAt":"2026-11-03T04:23:33.496Z","normalizedAt":"2026-11-03T04:23:33.496Z"}]},"firstSeenAt":"2026-09-09T17:20:50.071Z","updatedAt":"2026-11-03T04:24:20.444Z"}