---
title: "TencentDB Agent Memory: Enterprise Agent Memory Hub"
section: "raw"
type: "source"
created: "2026-08-23"
updated: "2026-08-23"
canonical: "https://pyweb.dev/wiki/raw/articles/tencentdb-agent-memory-2026"
---
# TencentDB Agent Memory: Enterprise Agent Memory Hub

**Repository:** https://github.com/TencentCloud/TencentDB-Agent-Memory  
**Version:** v2.0.0 | **License:** MIT

## Core Asset Model
Extracts, structures, and governs four reusable memory assets:
1. **Chat Memory:** Conversation history, human feedback, and preference profiles.
2. **Skills:** Executable procedural patterns and operational workflows.
3. **LLM-Wiki:** Structured, interlinked Markdown knowledge bases inspired by Karpathy's LLM-wiki paradigm.
4. **Code-Graph:** Codebase symbol indexes, call graphs, and impact paths (incorporating `colbymchenry/codegraph`).

## Architecture & Integration
- **L0–L3 Layered Hierarchy:** Progressively loads memory from high-level summaries (L0) down to full symbol graphs and transcripts (L3) to preserve token context budgets.
- **Universal Memory Server:** Exposes standardized `/v3/tools/list` and `/v3/tools/call` endpoints consumed by Claude Code, Codex, Hermes, OpenClaw, and CodeBuddy.
- **Cold-Start Save Files:** Pre-indexes repositories and docs so newly spawned agents skip exploratory discovery.
- **Multi-Agent Team Play:** Enables specialized agent topologies (e.g. Scout, Builder, Reviewer) to share governed state across runs.

---

## Agent Navigation

### Machine endpoints
- Knowledge graph: https://pyweb.dev/api/graph.json
- Graph analysis: https://pyweb.dev/api/graph-analysis.json
- Context index: https://pyweb.dev/llms.txt