DEDUPED Hot AI repos, turned into use cases Get 5 a day

What you can do with Agent Me

Agent-Me is an open-source Python FastAPI and React system that builds an inspectable AI twin of a person from their reviewable Markdown knowledge, memories, and decisions.

Trended earlier

jzjzzzzzzz/agent-me on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

What do you want to do?

5 use cases

  • Run the Agent-Me twin locally with Docker Compose

    Start the web app and API on your machine with the example knowledge and no API key.

    View prompt
    Clone the jzjzzzzzzz/agent-me repository and start it from its root with Docker Compose. Report the Web application, Health, and Readiness URLs from the README table, and confirm the readiness check responds. Verify that the default configuration needs no API key before you finish.

  • Inspect why a verified answer was grounded

    Call the five-stage workflow and read its sources, grounding result, and public trace.

    View prompt
    Use the jzjzzzzzzz/agent-me API at localhost:8000 to send the verified collaboration request for <question>. Return the workflow, grounded status, sources, and the trace stage outcomes as a short table. Verify that run_id is present and that each trace stage lists its outcome.

  • Check a private Markdown folder before startup

    Preflight your knowledge directory and get a safe document count and relative file list.

    View prompt
    In the jzjzzzzzzz/agent-me repository, run the knowledge check against the <knowledge-dir> folder using the JSON option. Return the document count and relative paths only. Verify that the output contains no document text and no absolute host paths.

  • Build your own AI Twin from reviewed Markdown

    Replace the example profile with your approved notes, set the app identity, and run the checks.

    View prompt
    Update the jzjzzzzzzz/agent-me checkout so the knowledge folder contains only the reviewed Markdown files I approve, then run the knowledge check. Report the document count and the output of make lint test docs evaluate. Verify that no file outside the approved list was added.

  • Run deterministic evals on the collaboration workflow

    Run the versioned fixtures and see the pass count for the verified workflow.

    View prompt
    In the jzjzzzzzzz/agent-me repository, run the collaboration evaluator with the verified workflow in JSON mode. Return the pass count and any failed case IDs. Verify that rerunning the same command on unchanged code gives the same result.

How to use Agent Me

  1. Check you have what it needs: Docker with the Compose plugin, or Python 3.11+, uv 0.11 or 0.12, Node.js 22+, npm, and Git; Markdown notes you are allowed to use and want the twin to read; Read docs/TRUST.md before loading private knowledge.
  2. Open jzjzzzzzzz/agent-me on GitHub and read the README and license.
  3. git clone https://github.com/jzjzzzzzzz/agent-me.git
  4. cd agent-me
  5. cp .env.example .env
  6. docker compose up --build

These steps come from our top use case, Run the Agent-Me twin locally with Docker Compose, which also has a copy-paste agent prompt.

Agent Me alternatives · Best AI repos for Personal productivity

About this repo

Requirements

  • Docker with the Compose plugin, or Python 3.11+, uv 0.11 or 0.12, Node.js 22+, npm, and Git
  • Markdown notes you are allowed to use and want the twin to read
  • Read docs/TRUST.md before loading private knowledge
Maintain Agent Me? Add the Featured on Deduped badge

Paste this into your README:

[![Featured on Deduped](https://dedupedai.com/badge/jzjzzzzzzz-agent-me.svg)](https://dedupedai.com/use-cases/jzjzzzzzzz-agent-me/?ref=badge)

More badge styles and HTML

Questions about Agent Me

What is Agent Me?

Agent-Me is an open-source Python FastAPI and React system that builds an inspectable AI twin of a person from their reviewable Markdown knowledge, memories, and decisions. It is an open-source project on GitHub: https://github.com/jzjzzzzzzz/agent-me.

Who is Agent Me for?

Developers and privacy-conscious knowledge workers who want a traceable personal AI that answers only from their own reviewed notes.

What can I do with Agent Me?

5 use cases so far, for example: Run the Agent-Me twin locally with Docker Compose; Inspect why a verified answer was grounded; Check a private Markdown folder before startup. Each has steps and a copy-paste agent prompt.

What do I need to run Agent Me?

Docker with the Compose plugin, or Python 3.11+, uv 0.11 or 0.12, Node.js 22+, npm, and Git; Markdown notes you are allowed to use and want the twin to read; Read docs/TRUST.md before loading private knowledge.

What are alternatives to Agent Me?

Other hot AI repos in Personal productivity: Abacusai Bot, Unigit Ecosystem, Comma, Agent Peer Chat, Compass.

Is Agent Me 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.