TencentCloud/TencentDB-Agent-Memory
Some data may be outdated — see provenance labels.
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. observed · 2026-09-30
Health v2 · maintenance only
79/100
- Activity 97
- Release rhythm 92
- Longevity 14
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 14
- age_days: 196
- days_rel: 56
- days_push: 21
- n_releases_24m: 10
Adoption not part of the score
27532 stars · 2649 forks observed · 2026-09-30
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.96
TencentDB Agent Memory is a team-level memory hub that stores and serves conversational, document, and code embeddings for AI agents. It provides vector search and LLM‑wiki capabilities that can be shared across multiple agents and frameworks.
Use cases
- store and retrieve chat histories for AI assistants
- enable agents to access shared skill definitions and code graphs
- provide long‑term memory for autonomous AI agents
- perform vector similarity search over embedded documents
- centralize knowledge bases for multiple LLM‑driven services
When to choose
- You need a self‑hosted, scalable memory layer for multiple LLM agents.
- Your application relies on fast vector search and shared knowledge across agents.
- You prefer a TypeScript/Node.js ecosystem with Docker deployment.
When to avoid
- You require a fully managed cloud memory service with no operational overhead.
- Your stack is not compatible with Node.js or Docker environments.
- You need a relational database rather than a vector store.
Facets
service · maturity active
vector-database search-engine llm-inference large-language-models self-hosted windows team-memory chat-memory skill-memory code-graph openclaw-plugin local-first long-term-memory ai-agents retrieval-augmented-generation nodejs docker linux macos
1 source
- readme: https://github.com/TencentCloud/TencentDB-Agent-Memory · fetched 2026-09-30 · b700f6eadeec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TencentCloud/TencentDB-Agent-Memory | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="TencentCloud/TencentDB-Agent-Memory")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem