mcp-memory-service and mind-mem

These are competitors: both provide persistent memory systems for AI agents with knowledge graph/retrieval capabilities, but A targets multi-framework integration (LangGraph, CrewAI, AutoGen) via REST API while B emphasizes coding-specific agents with built-in MCP tools and advanced retrieval scoring, forcing users to choose based on their agent framework and retrieval requirements.

mcp-memory-service
73
Verified
mind-mem
54
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 13/25
Adoption 10/25
Maturity 18/25
Community 13/25
Stars: 1,504
Forks: 215
Downloads: —
Commits (30d): 153
Language: Python
License: Apache-2.0
Stars: 5
Forks: 2
Downloads: 385
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Dependents

About mcp-memory-service

doobidoo/mcp-memory-service

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Consolidates multi-agent memory using a knowledge graph with typed edges (causes, fixes, contradicts) and autonomous compression, accessible via REST API with ONNX-based embeddings that run locally. Implements Remote MCP support for browser-based claude.ai integration via Server-Sent Events, alongside traditional desktop MCP, with OAuth 2.0 authentication and self-hosted infrastructure (no cloud lock-in). Agent identity is tracked via `X-Agent-ID` headers for scoped retrieval, and conversation threading is preserved through `conversation_id` fields, enabling both shared memory across agent fleets and inter-agent messaging through semantic tag-based filtering.

About mind-mem

star-ga/mind-mem

Persistent, auditable, contradiction-safe memory for coding agents. Hybrid BM25 + vector retrieval, 19 MCP tools, co-retrieval graph, MIND-accelerated scoring. Zero external dependencies.

Implements shared memory across all MCP-compatible AI agents (Claude Code, Cursor, Windsurf, etc.) via a single SQLite workspace with concurrent-safe WAL mode. Core architecture combines BM25F full-text + vector retrieval with RRF fusion and intent-aware routing, plus a co-retrieval graph using PageRank-style propagation to surface structurally-related blocks. Includes active contradiction detection, drift analysis, and deterministic governance—all Markdown-backed with full audit trails and zero external dependencies.

Related comparisons

mcp-memory-service and tradememory-protocol mcp-memory-service and nocturne_memory mcp-memory-service and brain-mcp mcp-memory-service and local_faiss_mcp mcp-memory-service and mcp-memory-libsql mcp-memory-service and memento-mcp

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