TencentCloud/TencentDB-Agent-Memory
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TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
项目介绍
TencentDB Agent Memory = symbolic short-term memory + layered long-term memory. > - Symbolic short-term memory offloads heavy tool logs and condenses them into compact Mermaid symbols, cutting token usage and improving task success. - Layered long-term memory distills fragmented conversations into structured personas and scenes, instead of flat vector piles.
When integrated with OpenClaw, it cuts token usage by up to 61.38%, improves pass rate by 51.52% (relative), and raises PersonaMem accuracy from 48% to 76%.
These results are measured over continuous long-horizon sessions, not isolated turns. For example, SWE-bench runs 50 consecutive tasks per session to simulate the…
最新指标
| Star | 26.4k | 2026-09-12 |
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| Fork | 2.5k | 2026-09-12 |
| 提交 | 35 | 2026-09-12 |
| 发布 | 16 | 2026-09-12 |
| Watcher | 89 | 2026-09-12 |
| 开放 issue | 224 | 2026-09-12 |
| 开放 PR | 540 | 2026-09-12 |