Mesh: Semantic Memory for AI Agents

Self-hosted semantic memory system that gives AI agents persistent, searchable memory with automatic tagging. Agents store and retrieve documents by meaning, not keywords.

Built on PostgreSQL with pgvector for embedding-based search. Documents get date and source tags automatically on save. Type, project, and topic tags are inferred from similar existing documents after indexing.

Multi-workspace support for separating different projects or teams. Full document version history. CLI tool and MCP server for direct integration with Claude Code or any MCP-compatible client.

Used in production as a shared knowledge layer between 5+ AI agents working on the same projects. Agents write findings, decisions, and worklogs. Other agents search and build on that context across sessions.

Works fully offline with local ONNX embeddings. No external API calls needed for search.

GitHub: https://www.twine.net/signin