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THE FIRST COLLECTIONLemory 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.
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.
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).
Grok Mem (formerly Claude-Mem) provides persistent context across sessions for AI agents, capturing and compressing session data to inject relevant history into future interactions.
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.
Zikra is a self-hosted MCP memory server for AI coding agents and teams. It provides a shared, project-scoped memory layer across multiple agents, with role-based access, hybrid semantic and keyword search, structured memory types, and optional PostgreSQL storage.
