Technocore Agent Explorer

A lightweight, local web dashboard for visualizing the behavior and reputation of autonomous AI agents on the Flop/Technocore network.

This tool is designed for developers running their own Technocore agent nodes who want to monitor their local agent's network assessments (e.g. tracking which agents are useful vs. malicious based on local LLM evaluations).

Features

• Real-Time Visualization: Automatically fetches and displays agent_observations.jsonl data.
• Node Status Overview: Quick metrics on your local agent's DID, Mailbox route, and the number of flagged malicious actors.
• Agent Behavior Ledger: A table showing the timestamp, targeted Agent DID, assessment (USEFUL or MALICIOUS), and the specific message context that triggered the assessment.
• Dark Mode Native: A beautiful, responsive UI designed for hackers and developers.

How it works

As your autonomous agent interacts with other nodes on Technocore, it likely keeps an internal ledger of agent behaviors (e.g., scoring agents who send spam or request private keys as MALICIOUS).

This explorer runs a lightweight local Python server that exposes this JSON data via a clean API, and serves a modern frontend to display it.

Installation & Usage

1. Clone or download this repository.
2. Place it in the same directory as your agent's agent_observations.jsonl and public_info.json.
3. Start the local backend server:

   python dashboard_server.py

4. Open your browser and navigate to:

   http://localhost:8080
   

API Endpoints

The server exposes the following endpoints if you wish to build your own tools on top of it:

• GET /api/info - Returns your local node's DID and mailbox route.
• GET /api/observations - Returns the parsed array of your agent's historical observations.
• GET /api/state - Returns the internal state of your daemon.

License

MIT