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

Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval.

Find relevant information in your documents using natural language queries - no more keyword matching or manual browsing through hundreds of files. Built for speed and efficiency, this lightweight system searches through 500+ documents in under 300ms while using only 100MB of memory.

Git-native, semantically-searchable memory storage for Claude Code. Captures decisions, learnings, and context as git notes with vector search.

Local Codex CLI prompt refinery: ingest JSON/JSONL histories, dedupe, embed (OpenAI), cluster (sqlite-vec), synthesize atomic/workflow prompts via Responses API (Structured Outputs). FTS5+vector search; Streamlit UI; Typer CLI.

Git-native persistent memory and compaction for AI agents (markdown + sqlite-vec + MCP)

A searchable image database using SigLIP 2 (CLIP) embeddings and SQLite-vec for efficient similarity search.

NeuralRP: local RP engine with SQLite backend. Built to solve the problem of context rot, with best-in-class image generation features.

Privacy-first local AI assistant for macOS (MLX + sqlite-vec) with 0.42s mean latency and <5% hallucination rate

CLI RAG tool - index 30+ document formats, hybrid search, ask questions and get sourced answers.

Persistent memory for Claude Code — invisible self-annotating metadata, semantic search, cross-project retrieval

A lightweight Python client around sqlite-vec for CRUD and similarity search.

A local semantic emoji search engine that uses transformer embeddings and sqlite vector search to find the perfect emoji from natural language queries. Fast, offline, and powered by Streamlit.

🛠️ Refine and organize your OpenAI Codex CLI prompts effortlessly, using SQLite for fast search and a user-friendly interface for better productivity.

A privacy-first, fully local Agentic AI legal assistant. Combines multimodal RAG (DeepSeek-R1 + Llama 3.2 Vision) via Telegram for zero-data-leakage contract analysis.

Persistent memory MCP for AI agents — SQLite, knowledge graph, 12 tools with ToolAnnotations

Store and recall robotic experiment data to improve task success by learning from past parameters, trajectories, and outcomes.

A production-grade benchmarking suite that evaluates vector databases (Qdrant, Milvus, Weaviate, ChromaDB, Pinecone, SQLite, TopK) for music semantic search applications. Features automated performance testing, statistical analysis across 15-20 iterations, real-time web UI for database comparison, and comprehensive reporting with production.

A local-first personal knowledge and memory augmentation system that turns LLM chat history into structured notes, retrieval data, and Codex-ready context.

Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact