🧠TencentDB Agent Memory
TencentCloud/TencentDB-Agent-Memory
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.
⭐ Very popular: 22k stars, gaining about 2k a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
why it's a big deal
- Most memory tools solve the personal case. This targets the real gap: five developers whose agents each relearn the same lesson is four wasted lessons.
- Real benchmarks: up to 61% lower token usage and a 51% relative pass-rate gain on OpenClaw across WideSearch, SWE-bench, and AA-LCR.
- ACL-based sharing by team, user, and agent means memory gets governed, not just accumulated.
under the hood
- Four asset types, Chat Memory, Skill, Wiki, Code-Graph, bound to agents through Fixed Binding plus ACL.
- Symbolic short-term memory condenses verbose tool logs into a compact Mermaid graph with node-level tracing back to raw evidence.
- Layered long-term memory runs Conversation to Atom to Scenario to Persona, a semantic pyramid instead of a flat vector dump.
our take from PR#40, 2026-08-12
star history
- PR#40 20k 2026-08-12
- now 22k + 2k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Better known than its recent output, coasting a little on attention.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
-
memory that belongs to the team
similar projects
compare these →- 🧠 Mem0
Python · 2.9× the stars
Universal memory layer for AI Agents
63k ACTIVE - 🧠 Memori
Python
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
16k ACTIVE - 🎛️ CopilotKit
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
37k ACTIVE
comments
Sign in with GitHub to add your blip on TencentDB Agent Memory.