MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
eiondb/eion
Eion is a shared memory and knowledge store for AI agents, designed to scale from a single LLM application up to multi-agent systems where several agents hand context to one another. The server is written in Go and backed by two databases started through Docker Compose: PostgreSQL with the pgvector extension holds conversation history and supports semantic search, and Neo4j stores a temporal knowledge graph built by an in-house extraction service that pulls entities and relationships out of stored messages. Embeddings are produced locally with the all-MiniLM-L6-v2 sentence-transformers model at 384 dimensions, which is why a Python 3.13 environment sits alongside the Go binary. The README describes four deployment shapes: a plain LLM application using Eion as context storage, a single agent using it as memory plus knowledge graph, sequential agencies where agents pass context through shared memory, and controlled guest access that lets an external agent read from an internal agency. Concurrent live agency with sync and notifications is listed as work in progress. A built-in MCP server exposes the session-level API as eight tools, four for memory (get_memory, add_memory, search_memory, delete_memory) and four for knowledge (search_knowledge, create_knowledge, update_knowledge, delete_knowledge). Every call is authenticated by a triple of session_id, agent_id and user_id, with agent ids issued through the developer API. Integration examples cover the Python MCP client over STDIO, LangChain through langchain-mcp-tools, and Claude Desktop configuration. A browser console served at the server root offers agent registration with permission levels, live monitoring and copy-ready HTTP and MCP integration snippets. Eion is licensed under AGPL v3 and suits teams building multi-agent systems that need persistent, queryable shared state rather than per-agent context windows.
https://github.com/eiondb/eion
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