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.
Market Signal
Why It Has Market Pull
A team-level shared memory layer for AI agents from a major cloud provider that is currently trending #1 on GitHub, gaining over a thousand stars a day. Independent testers have already reproduced its core claims on consumer hardware and published substantive technical critiques — unusually fast, credible validation.
- 14,900+ stars and 1,360+ forks within about four months, trending #1 on GitHub
- Backed by a major cloud provider, giving enterprise distribution and credibility
- Shipped a v2.0 release with integration hooks for multiple agent frameworks
- Independently reproduced by a third-party reviewer on a local model on a laptop
- 500+ open issues and hundreds of open PRs signal heavy real usage
feedbacks
What People Are Saying
"the most complete open team memory control plane we have seen in this wave"Independent blog review
"A memory hub stores; it doesn't adjudicate. That distinction is the whole ballgame once memory becomes shared"Dev.to article
"confident recall of stale facts is worse than no memory"Dev.to article
"by turn 20 your context is 80% archaeological log dust the model is paying attention tax on every step"Medium article
"it fires at edge scale"Medium hands-on test
"Treat v2 as production-curious: star count and PR volume signal heat and unfinished edges"Independent blog review























