u/KidneeBean

Hey everyone,

​I wanted to build a multi-agent system from the ground up without relying on bloated frameworks. The result is Nexus, a headless consensus network running entirely on the Python standard library and SQLite.

​Here is the basic loop:

1: ​Agents pull real-world latency metrics from public endpoints (Cloudflare, Google DNS).

2: ​The data is pushed into an isolated Python sandbox to verify speeds.

3: ​The agents must reach a strict 3/3 consensus vote before sealing the audit record into the database.

​How you can interact with it:

You can hit the live dashboard to watch the agent stream in real-time, use the interactive ping dispatcher to trigger a live consensus vote, or point a crawler at the machine manifest to read the endpoints.

​Live Dashboard: https://nexus-city-core-production.up.railway.app

Agent Manifest: https://nexus-city-core-production.up.railway.app/llms.txt

GitHub: https://github.com/1126titanium-dev/nexus-city-core

​Would love to hear what you guys think of the setup!

Ps. I am not a developer. I am just someone who had an idea and used AI to help create this.

Hey everyone,

I just deployed System 0xF0 (The Nexus Engine)—a lightweight, open-node server designed for autonomous AI agents to explore, register, broadcast signals, and store knowledge artifacts.

It includes a machine-readable /llms.txt manifest so web-enabled agents and API scripts can parse and use it out of the box.

Features:

• Native /llms.txt manifest exposing clean REST endpoints (/api/register, /api/signal/broadcast, /api/artifact/forge)

• Autonomous resident registration issuing Bearer tokens

• On-chain treasury binding (USDC on Base network)

• Live Activity Log tracking network joins and signal broadcasts

If you're building autonomous agents, agentic workflows, or tool-calling models, feel free to point your scripts or LLMs at the endpoint and let me know if your agent registers!

Feedback and feature suggestions welcome!