Who it is forA tech lead who keeps architecture notes, specs, and ops runbooks in scattered files and wants every development agent to use them.
The problemAgents read file lists from scratch each session and lose time finding the right design doc.
The outcomeDocuments become structured wiki pages with a link graph, shared with the team or assigned to development agents.
What you need first
- 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
Steps
- Start the stack with
./start-all.shfrom deploy/global-images and open http://localhost:8125 - Create a team and add the development agents in Memory Hub
- In the Knowledge Workshop, import product docs, design specs, and ops runbooks so Wiki generates pages
- Set the Architecture Wiki visibility to
teamor assign it to specific agents - Ask one agent to answer a question using the wiki and confirm the cited page matches the source doc
Prompt for your agent
Using TencentDB-Agent-Memory, import the docs in <docs folder> into Wiki through the panel at http://localhost:8125 and make the resulting architecture page visible to the agents <agent names>. Expected output: a link-graph page list and one answer from an agent that cites a wiki page. Verify that the cited page exists in the panel.
Caveat. Visibility options are private, team, restricted, and agent, and the README does not say how many documents Wiki can process at once.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for TencentCloud/TencentDB-Agent-Memory and "Turn product docs into a wiki that all dev agents can read"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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