🤯Introducing Team Memory, same idea as Agent Memory, except your teammates' agents can read it too
2.0.0 beta out today, and the repo hit #1 on github's typescript trending this week
Highlights:
> Solo builders: one place to manage memory across all your agents and AI tools, chat, code, tasks. Built for the one-person company
> Teams: a shared memory hub that turns conversations, docs and code into four reusable assets, Chat Memory, Skill, LLM-Wiki, Code-Graph, governed and shared across agents and frameworks
changelog and repo → github.com/TencentCloud/Tenc…
Tencent AI (@TencentAI_News)
We spent 6 months on one problem: agents losing context in long sessions.
Ended up building and open-sourcing an agent memory system. A few things we learned:
🪄compressing stale context mid-session cut token usage by 61%
🪄giving agents a structured task map (mermaid-based) made them way less likely to lose track in 30+ step workflows
🪄persona coherence jumped from 48% to 76% once we added dedicated persona memory
repo 👉 github.com/Tencent/TencentDB…
Agent memory is genuinely hard and we don't have all the answers. Happy to dig into architecture, benchmarks, tradeoffs, whatever. AMA👇 @TencentDBAbxo2 team is here to talk about it.
— https://nitter.net/TencentAI_News/status/2054822609863496178#m