What do you want to do?
5 use cases
-
Index an existing repo so agents check impact before editing
Import a codebase into CodeGraph so agents can see callers, callees, and impact paths.
View prompt
Using TencentDB-Agent-Memory, import the repository at <repo path> into CodeGraph through the panel at http://localhost:8125. Before changing <symbol or file>, query CodeGraph for its callers, callees, and impact path, and report the list. Verify that the impact list matches a manual grep of the repo for <symbol>.
-
Move existing v1 or v2 memory data into a v3 install
Use the official migration tool to bring older memory data into the current release.
View prompt
Using the repo TencentDB-Agent-Memory, read MemoryCore/scripts/migrate-v2-to-v3/README.md and run the migration for my existing <old data location> with the flags it lists. Expected output: a migration summary from the script. Verify that the migrated items appear in the panel at http://localhost:8125.
-
Save a release checklist as a Skill and assign it to a release agent
Capture a finished release workflow as a reusable skill and equip one agent with it.
View prompt
Using TencentDB-Agent-Memory, extract a Release Checklist Skill from the session <session file> and bind it to the agent <release agent name> through the panel at http://localhost:8125. Expected output: the Skill's version, steps, and validation rules, then a checklist run by the agent. Verify the Skill status is shared with the team before it is bound.
Quick start with Tencent DB Agent Memory
- Check you have what it needs: Git and a bash-compatible shell; Two sets of LLM API parameters for the memory group and the proxy group, filled into .env; A local machine that can run the three services (memory-core, memory-hub, proxy).
- Open TencentCloud/TencentDB-Agent-Memory on GitHub and read the README and license.
- Run
git clone https://github.com/TencentCloud/TencentDB-Agent-Memory.gitand thencd TencentDB-Agent-Memory/deploy/global-images - Run
cp .env.example .env, then open.envand fill in the two sets of LLM parameters (memory group and proxy group) - Run
./start-all.shand wait for it to finish; it prints a one-liner to paste into Claude - Open http://localhost:8125 to confirm the panel loads
These steps come from our top use case, Give Claude Code and Codex one shared memory server, which also has a copy-paste agent prompt.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for TencentCloud/TencentDB-Agent-Memory
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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About this repo
- Who it is forDevelopers and small teams who run several AI coding agents and want them to share project context, skills, and code knowledge.
- Why it is hot+1,720 stars this week, 30k total, picked up by one AI source we track
- LanguageTypeScript
- Sourcegithub.com/TencentCloud/TencentDB-Agent-Memory · Back to Hot repos
Requirements
- Git and a bash-compatible shell
- Two sets of LLM API parameters for the memory group and the proxy group, filled into .env
- A local machine that can run the three services (memory-core, memory-hub, proxy)
- An agent client that accepts a custom base URL, such as Claude Code or Codex
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Questions about Tencent DB Agent Memory
What is Tencent DB Agent Memory?
A team-level memory server for AI agents that stores chat memory, skills, wiki pages, and code graphs, and shares them across agents and frameworks. It is an open-source project on GitHub: https://github.com/TencentCloud/TencentDB-Agent-Memory.
Who is Tencent DB Agent Memory for?
Developers and small teams who run several AI coding agents and want them to share project context, skills, and code knowledge.
What can I do with Tencent DB Agent Memory?
5 use cases so far, for example: Give Claude Code and Codex one shared memory server; Index an existing repo so agents check impact before editing; Turn product docs into a wiki that all dev agents can read. Each has steps and a copy-paste agent prompt.
What do I need to run Tencent DB Agent Memory?
Git and a bash-compatible shell; Two sets of LLM API parameters for the memory group and the proxy group, filled into .env; A local machine that can run the three services (memory-core, memory-hub, proxy); An agent client that accepts a custom base URL, such as Claude Code or Codex.
What are alternatives to Tencent DB Agent Memory?
Other hot AI repos in Software and DevOps: Codex LB Enhanced, Reuse Before Build, Aibuildai LLM Posttrain Agent, FlowX, Codex Guard.
Is Tencent DB Agent Memory safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.