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How to use Tencent DB Agent Memory: what you can do with it

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.

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Quick start with Tencent DB Agent Memory

  1. 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).
  2. Open TencentCloud/TencentDB-Agent-Memory on GitHub and read the README and license.
  3. Run git clone https://github.com/TencentCloud/TencentDB-Agent-Memory.git and then cd TencentDB-Agent-Memory/deploy/global-images
  4. Run cp .env.example .env, then open .env and fill in the two sets of LLM parameters (memory group and proxy group)
  5. Run ./start-all.sh and wait for it to finish; it prints a one-liner to paste into Claude
  6. 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.

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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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Tencent DB Agent Memory alternatives · Best AI repos for Software and DevOps

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.