TencentDB Agent Memory — Fully Local Long-Term Memory for AI Agents
Summary
- Open-source local-first memory system by TencentCloud that gives AI agents human-like long-term recall
- No cloud dependency, no API bills — runs fully local
- Turns conversations, docs, and code into 4 reusable memory types: Chat Memory, Skill, LLM-Wiki, Code-Graph
- Team-level memory hub — governed, shared, and equipped across agents and frameworks
- Reported benchmarks:
- 61.38% fewer tokens per session
- 76% persona accuracy (up from 48%)
- 51.52% higher task success rate
- Works with any agent framework
- Written in TypeScript
- Topics: agent, embedding, LLM, local-first, long-term-memory, vector-search