Agent-Me: Open-Source Personal AI Agent Twin You Can Audit

Adding a chat box to your notes is easy. Building a personal AI agent that can show you where every answer came from is the harder job, and that gap is what Agent-Me targets.

It is an open-source, inspectable Agent Twin project for builders who want a personal agent grounded in their own knowledge, memories and decisions. The whole thing ships under the MIT license, so nothing about it is hidden from you.

What Happened

• Agent-Me is an open-source AI Agent Twin project, released under the MIT license.
• Your personal knowledge base is version-controlled Markdown, which keeps it readable, diffable and reviewable.
• Retrieval is deterministic: a bounded local retriever finds relevant evidence before an answer is produced.
• Five sequential agent roles — Planner, Researcher, Critic, Writer and an optional Verifier — move work along through typed handoffs.
• Implemented policies can block unsupported synthesis and invalid citation paths.
• Inspectable runs expose public traces with safe stage summaries, evidence, retrieval activity and verification results.

Why It Matters

Most personal AI setups hand you a confident answer with no way to check it. Agent-Me flips the order: knowledge sits in files you can read and version, retrieval has to surface evidence first, and the run trace shows what each role actually did. If you care about citing your own notes instead of trusting a model on faith, that combination is the line between a demo and something you can audit.

One thing to know before you go looking: the post names no repository link and no install steps, so you will need to track the project down yourself. Once you do, the MIT license means you can read every policy and handoff end to end and decide whether it fits how you already keep notes.