tribal-memory/tribal
🔌 MCP Servertribal-memory
A self-hosted semantic memory server for engineering teams, enabling AI agents to query tacit tribal knowledge.
Tribal addresses the 'lost knowledge' problem in engineering teams by providing a structured, queryable interface for tribal knowledge. Built as an MCP (Model Context Protocol) server, it acts as a bridge between your team's documentation, decision logs, and AI agents. The system is backed by a robust Postgres database leveraging the pgvector extension, which enables high-performance vector similarity searches across unstructured team data.
Key features include seamless integration with MCP-compliant AI tools, allowing agents to pull relevant context directly into their workflow. By capturing the 'why' behind code changes and architectural shifts, Tribal helps reduce onboarding time for new engineers and prevents the repetition of past mistakes. It is designed for self-hosting, ensuring that sensitive engineering context remains within the organization's infrastructure while providing a scalable foundation for long-term knowledge retention.
💡Highlights
- ├─Postgres-backed with pgvector
- ├─MCP-compliant memory server
- └─Captures tacit engineering logic
🎯For
- ├─Software Engineers
- └─Engineering Managers