Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
- context-database
- agentic-rag
- agent-memory
- self-evolving
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Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Dolt – Git for Data
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
Go SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.