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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.
Dolt is a SQL database with Git-style version control: databases can be forked, cloned, branched, merged, pushed and pulled like repositories, while MySQL-compatible clients connect and version control is exposed through SQL system tables and stored procedures.
Semantica is a graph-native infrastructure designed to provide structured context, deterministic reasoning, and full decision provenance for AI systems, serving as a semantic layer for LLMs and agents.
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.
RightMemory provides durable memory, a user-directed Pursuit map, and reusable Agent Corrections for AI coding agents. It stores context as Git-syncable Markdown trees organized in a graph with typed edges, enabling multi-device continuity and multi-agent collaboration while keeping memory ownership explicit and vendor-neutral.
