TencentDB Agent Memory

TencentDB Agent Memory organizes conversations, reusable Skills, documents and code into governed memory assets that supported agent clients can share. The…

See it in action

Product interface

TencentDB Agent Memory: layered memory in Memory Hub

Original Memory Hub screenshot showing memory blocks, asset scope and L0 conversation, L1 atomic, L2 scenario and L3 core views. The visible sample records are interface context, not an independently reproduced benchmark or proof of authorization behavior.

Original TencentDB Agent Memory Hub with Chat Memory blocks and L0, L1, L2 and L3 views
Open full image
License

Full original license and applicable repository credits/notices retained. Only static source documents and original interface media reviewed; no installer, application, model/API request, proxy, memory operation or upstream agent instructions executed. Interface screenshots do not establish generation-model availability, reproduced outputs or independent benchmark results. Full native dimensions retained; lossless WebP conversion checked against every decoded RGBA byte.

Tencent is pleased to support the open source community by making TencentDB Agent Memory available. 

Copyright (C) 2026 Tencent.  All rights reserved. 

TencentDB Agent Memory is licensed under the MIT.


Terms of the MIT:
--------------------------------------------------------------------
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Usage example

TencentDB Agent Memory: configure and start the three-service stack

Complete original README setup sequence for Memory Core, Memory Hub and Proxy. It requires the documented container environment and two configured LLM groups in .env. The setup can initialize local services and credentials when run; these commands are preserved as source instructions and were not executed here.

Example input

git clone https://github.com/TencentCloud/TencentDB-Agent-Memory.git
cd TencentDB-Agent-Memory/deploy/global-images
cp .env.example .env
$EDITOR .env       # Fill in two sets of LLM parameters (memory group + proxy group)
./start-all.sh     # Launch everything with one command; when finished, it prints a one-liner you can paste directly into Claude
License

Full original license and applicable repository credits/notices retained. Only static source documents and original interface media reviewed; no installer, application, model/API request, proxy, memory operation or upstream agent instructions executed. Interface screenshots do not establish generation-model availability, reproduced outputs or independent benchmark results.

Tencent is pleased to support the open source community by making TencentDB Agent Memory available. 

Copyright (C) 2026 Tencent.  All rights reserved. 

TencentDB Agent Memory is licensed under the MIT.


Terms of the MIT:
--------------------------------------------------------------------
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Product overview

TencentDB Agent Memory organizes conversations, reusable Skills, documents and code into governed memory assets that supported agent clients can share.

SOURCE-LISTED CAPABILITIES

What TencentDB Agent Memory offers

  1. 01Distill conversations into layered Chat Memory and reusable Skills
  2. 02Build linked document knowledge with LLM-Wiki and code relationships with CodeGraph
  3. 03Review ownership, versions, visibility and user, role or agent access
  4. 04Import existing repositories, files and agent conversation sessions
  5. 05Route supported agent calls through MemoryProxy to retrieve or inject permitted context
DIFFERENTIATION

What makes it different

The self-hosted stack combines Memory Core, Memory Hub and MemoryProxy. Teams configure model credentials and separate memory-processing and upstream proxy settings. Assets can be private, team-visible or restricted by access rules. The open-source project and Tencent Cloud’s commercial offering have separate deployment and service terms.

BEST FOR

Who should consider it

  • Teams sharing project context across supported coding agents
  • Developers turning documents, code and reviewed work into reusable team assets
BEFORE YOU CHOOSE

What to verify

  • Try one real task and compare its output with your requirements.
  • Check what data the service stores, shares, or uses for training.
  • Confirm current pricing, usage limits, and cancellation terms on the official site.
Website checked

Official link checked on Oct 24, 2026. Feature claims have not been independently tested.

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