bee2bee 3.7.2

Decentralized P2P network for AI model hosting and inference

🐝 Bee2Bee: The Global Neural Consensus Mesh

Bee2Bee is a decentralized, peer-to-peer neural consensus engine and Web SaaS designed to make AI inference accessible, transparent, and resilient. Contribute compute to a global mesh or consume it via our unified Web UI.

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🌐 Connecting to CoitHub.org (The Global Dashboard)

Bee2Bee integrates directly with coithub.org. You do not need to build any front-end to join or use the global mesh.

1. Host a Node: Run one of the bee2bee serve-* commands (see below).
2. Access the Mesh: Open coithub.org and click Enter Global Mesh.
3. Dynamic Registration: You can actively register and expose your API node on CoitHub using the dynamic system registration deep-link format ?link=... to sync your status with the platform in real-time. Ensure your FastAPI port (default 8000) is accessible to traffic.

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🛠️ CLI Commands & Examples

Install the package utilizing pip:

pip install bee2bee

(Note: You can run commands via python -m bee2bee or bee2bee if the entrypoint is configured in your OS.)

1. serve-ollama

Serve a fast, local Ollama model directly to the global peer mesh. Includes a built-in FastAPI proxy sidecar for metric telemetry.

Full Usage: python -m bee2bee serve-ollama --model <model> --host <ip> --port <port> --public-host <ip> --region <region> --api-port <port>

Example: Launch a gemma3:270m node exposing telemetry on port 3333:

python -m bee2bee serve-ollama --model gemma3:270m --api-port 3333 --region europe-central

2. serve-hf

Host open-source weights locally via CPU/GPU directly from the Hugging Face hub.

Full Usage: python -m bee2bee serve-hf --model <model> --port <port> --region <region> --api-port <port>

Example:

python -m bee2bee serve-hf --model distilgpt2 --api-port 4000 --region US-East

3. serve-hf-remote

Don't have hardware? You can serve a node utilizing Hugging Face's serverless Inference API. Your peer acts as a remote tunneling proxy!

Full Usage: python -m bee2bee serve-hf-remote --model <model> --token <hf_token> --region <region> --api-port <port>

Example:

python -m bee2bee serve-hf-remote --model HuggingFaceH4/zephyr-7b-beta --token hf_YOUR_SECRET --api-port 8080 --region Cloud

4. register

Manually prompt the Global Supabase registry to verify and route traffic to your node endpoint directly via a handshake test.

Full Usage: python -m bee2bee register --node-url <url> --network <network> --region <region> --test

Example:

python -m bee2bee register --node-url http://104.198.62.116:3333 --network connectit --region europe-central --test

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🤝 Community & Support

Built with ❤️ by Loay Abdelsalam and the ConnectIT Team.

• Developer Support: Find open-source code on GitHub.
• Dashboard: Bee2Bee ConnectIT Platform