Open source. Open possibilities.

MemPalace is a local-first AI memory system that stores conversation history verbatim and retrieves it via semantic search, with pluggable backends, an MCP server, knowledge graph, and CLI hooks for coding agents.

TiDB is an open-source, cloud-native distributed SQL database with ACID transactions, horizontal scalability, Raft-based high availability, HTAP via TiKV and TiFlash, MySQL 8.0 compatibility, and vector search support.

Lemory is a local middleware that transforms markdown notes (e.g., Obsidian vaults) into a context database for AI agents. It supports keyless on-device hybrid search, Korean-specific processing, hierarchical token savings, and knowledge graph visualization, integrating with various AI tools via MCP.

MaluDB is a PostgreSQL 17 extension implementing a memory DBMS for long-term institutional memory, human-AI knowledge sharing, and contextual recall. It provides bitemporal data, graph traversal, hybrid search, and governed memory surfaces.

MCP Context Server is a FastMCP-based server providing persistent multimodal context storage for LLM agents, featuring full-text, semantic, and hybrid search with cross-encoder reranking, thread-based scoping, and support for SQLite and PostgreSQL backends.

Memray is a Python memory profiler that tracks allocations in Python, native extensions, and the interpreter. It generates reports like flame graphs, supports threads and native code, and works on Linux/macOS.

TESSERA is a text-first memory and evidence layer for AI agents: it turns Markdown project knowledge into structured, provenance-backed evidence that agents can query via a Python API, CLI or MCP, with stable identity and explainable retrieval (MIT, v0.0.1).

Deep Lake is a serverless multimodal database for AI that combines vector search with storage for embeddings, images, video, audio, and documents. It streams data directly from cloud storage to PyTorch/TensorFlow, supports versioning, and integrates with LangChain, LlamaIndex, and Weights & Biases.

Supermemory is an open-source memory and context engine for AI, offering persistent memory across conversations, user profiles, hybrid search, connectors, and local self-hosting. It claims top benchmarks in AI memory performance.

An open-source Claude Code plugin that transforms any codebase into an interactive, searchable knowledge graph. Uses Tree-sitter and multi-agent LLM pipelines to visualize files, functions, classes, and dependencies—plus domain analysis, guided tours, and diff impact assessment. Works across 18+ AI coding platforms including Cursor, Codex, Gemini CLI, and Copilot.

Mem0 is an open-source memory layer for AI assistants and agents, offering persistent personalized memory via Python/TS SDKs, CLI, self-hosted server, or cloud. Supports multi-level memory, hybrid retrieval, temporal reasoning, and many LLM providers.

PixelRAG renders documents as screenshots and retrieves over images directly, preserving visual structure like tables and charts that text parsing loses. Includes a hosted 8.28M-page Wikipedia index, CLI tools, and Claude Code integration.

Persistent memory engine for AI coding agents. Auto-captures sessions via hooks, stores in SQLite with BM25/vector/graph hybrid search, and serves 54 MCP tools across 20+ agents. Self-hosted, keyless, zero external dependencies.