MemoryPilot
Active·★ 18·NOASSERTION·Updated 2026-10-21
MemoryPilot is a state-of-the-art MCP memory server that gives AI coding assistants persistent, searchable memory. It features hybrid search (BM25 + multilingual embeddings), temporal knowledge graph, GraphRAG, AAAK compression, and zero-shot auto-classification. It is 100% local, runs as a single binary, and achieves 99.1% R@5 on the LongMemEval benchmark.
#ai#cursor#embeddings#knowledge-graph#llm#mcp#mcp-server#mcp-servers
01
Features
01Hybrid search (BM25 + multilingual-e5-small RRF)
02Temporal knowledge graph with validity and confidence
03GraphRAG with auto entity extraction and combinatorial reranking
04AAAK compression (5-10x token savings)
05Zero-shot auto-classification of memories
02
Compatibility
Cursor
Cursor
Verified via docs
Claude Desktop
Claude Desktop
Verified via docs
VS Code
VS Code
Verified via docs
Windsurf
Windsurf
Verified via docs
Claude Code
Claude Code
Verified via docs
ChatGPT Desktop
ChatGPT (HTTP)
Verified via docs
03
Quick start
1
$ git clone https://github.com/Soflutionltd/MemoryPilot.git
2
$ cd MemoryPilot
3
$ ./install.sh
04
Use cases
↳Persistent memory for AI coding assistants across sessions
↳Automatic organization and retrieval of project knowledge
↳Cross-session context recall for bug fixes and architecture decisions
05
Alternatives
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TypeScript template for building Model Context Protocol (MCP) servers. Ships with declarative tools/resources, pluggable auth, multi-backend storage, OpenTelemetry observability, and first-class support for both local and edge (Cloudflare Workers) runtimes.
post-cortex★ 20
Post-Cortex provides durable memory infrastructure with automatic knowledge graph construction, intelligent entity extraction, and semantic search powered by local transformer models.
mcp-memory-libsql★ 87
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
rekal★ 53
Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.
synaptic-memory★ 33
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
fortemi★ 27
Self-hosted AI knowledge base with hybrid semantic search (pgvector + FTS + RRF), MCP server, multi-provider LLM inference (Ollama, OpenAI, OpenRouter, llama.cpp), multimodal ingestion (vision, audio transcription, speaker diarization), and knowledge graph. Rust + PostgreSQL.
distillery★ 25
Team knowledge evaporates daily — pairing sessions, debugging context, architectural rationale lost to Slack. Distillery captures it at the point of creation, connects it into a living graph, and surfaces it conversationally. It monitors feeds, tracks what matters to your projects, and alerts you before you know to ask. A team brain that learns.
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