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MemoryPilot
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MemoryPilot

Active·★ 17·NOASSERTION·Updated 2026-05-17
★ Trending★ RAG / Knowledge Base★ Memory & Context

The most advanced AI memory server in the world. Hybrid search, Temporal Knowledge Graph, transformer embeddings, AAAK compression (3x token savings) — pure Rust, single binary, zero dependencies.

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
$ Install
$ git clone https://github.com/Soflutionltd/MemoryPilot.git && cd MemoryPilot && ./install.sh
↗ Visit site★ GitHub
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

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Related searches

MemoryPilot AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseMemoryPilot TutorialMemoryPilot Vs Competitorsaicursorembeddings

Comments

Log in to leave a comment
  • L
    Logan WilsonMay 10, 2026

    Hybrid search combines dense and sparse retrieval for better recall.

  • P
    Parker WilsonApr 18, 2026

    Hybrid search and Temporal Knowledge Graph for advanced AI memory management.

  • D
    Dylan AndersonMar 8, 2026

    Temporal dimension in the knowledge graph handles time-sensitive information correctly.

  • E
    Emerson JohnsonMar 1, 2026

    Good for AI applications where memory quality directly impacts output quality.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 17
Last commit1w ago
StatusActive
LicenseNOASSERTION
CategoryRAG / Knowledge Base
Trend (30d)
+0.6↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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