Local-first memory governance for AI agents: shared, reviewable, auditable memory via SQLite and MCP.

The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.

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.

Personal Telegram knowledge base — forward anything, search via DM. Hybrid SQLite + FTS5 + vector + voice, MCP server for Claude.

SeekLink — hybrid semantic search for markdown vaults. Four-channel RRF fusion, MLX reranker, native CJK support. Fully local.

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

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

Persistent semantic memory for AI agents — 100% local on Apple Silicon (MLX) or Linux/Ubuntu (CPU). Markdown source of truth, sqlite-vec + BM25 hybrid search, a codegraph-backed knowledge graph, MCP server + CLI. No cloud, no keys.

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.

Локальная мульти-агентная система (Ollama). Мульти-канальность (Telegram/консоль/MAX), мульти-модельность (LLM/embed/vision/voice), мультимодальность (текст/PDF/фото/голос), мульти-агентность (Planner/Executor/Critic). Гибрид LLM и детерминированных инструментов: почта, Яндекс.Диск, web, OCR, скрипты. sqlite-vec RAG. ADR, CI. Без облачных API.

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

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

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

Local AI search engine for your files and agents — hybrid BM25 + vector semantic search (RAG) in one SQLite file. Millisecond queries, CPU-only, offline, no LLM in the query path.

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

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

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

The AI agent memory engine that deliberately stays small. SQLite + sqlite-vec + Ollama, CJK-native, three entry points. Apache 2.0.