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subcog

Active·★ 24·MIT·Updated 2026-05-25
★ Trending★ Code Assistant★ RAG / Knowledge Base

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Features hybrid search (semantic + BM25), MCP server integration, SQLite persistence with knowledge graph, and proactive memory surfacing. Written in Rust.

Subcog is a persistent memory system for AI coding assistants that captures decisions, learnings, and context from coding sessions. It features a single-binary distribution, three-layer storage architecture (SQLite, FTS5, usearch HNSW), MCP server integration, and Claude Code hooks. It achieves high accuracy on factual recall benchmarks.

#ai#ai-assistant#claude#claude-plugin#cli#developer-tools#embeddings#gemini
$ Install
$ cargo install subcog
↗ Visit site★ GitHub
01

Features

01Memory capture with automatic embedding generation (384-dimensional vectors)
02Hybrid search combining BM25 text search and vector similarity (RRF fusion)
03SQLite persistence as single source of truth (ACID-compliant)
04MCP server integration for AI agent interoperability
05Claude Code hooks for seamless IDE integration
02

Compatibility

Cargo
Cargo
Verified via docs
Homebrew
Homebrew (macOS/Linux)
Verified via docs
Docker
Docker (Linux)
Verified via docs
Binary
Binary download
Verified via docs
npm/npx
npm/npx (fallback)
Verified via docs
03

Quick start

1
$ cargo install subcog
04

Use cases

↳Capturing and recalling technical decisions during development
↳Surfacing relevant past context when working on similar tasks
↳Maintaining persistent memory across coding sessions for AI assistants
05

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Related searches

subcog AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basesubcog Tutorialsubcog Vs Competitorsaiai-assistantclaude

Comments

Log in to leave a comment
  • B
    Blake WilsonMay 16, 2026

    Subconscious memory layer makes the AI feel more like a continuing collaborator.

  • J
    Jamie JohnsonApr 1, 2026

    Captures decisions and learnings from AI coding sessions persistently.

  • A
    Alex JacksonMar 12, 2026

    Decision capture is useful for understanding why past choices were made.

  • D
    Dakota JacksonMar 5, 2026

    Good for teams who want AI assistants that learn from past project context.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 24
Last commit5d ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
Trend (30d)
+0.9↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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