GitHub – profbernardoj/everclaw: Decentralized AI inference for OpenClaw agents. Powered by Morpheus AI. Stake MOR, access Kimi K2.5 + 10 models, never run out of inference.

**Everclaw: Decentralized AI Inference You Actually Own**

Have you ever had an AI agent just… stop working? Credits ran out. API key expired. Billing glitch. I have, and it always seems to happen right when you need it most.

That’s exactly the problem **Everclaw** is trying to solve.

You can explore the project here:
https://github.com/profbernardoj/everclaw

At its core, Everclaw connects your OpenClaw agent to the **Morpheus decentralized inference network**. Instead of renting intelligence from a single provider, you stake MOR tokens and access a network of models like **GLM-5, GLM-4.7 Flash, Kimi K2.5, and 30+ others**. The key difference is simple but powerful: *your MOR is staked, not spent*. When a session ends, your tokens come back. You’re not burning credits. You’re putting down a refundable deposit for compute.

That changes the psychology completely.

Traditionally, AI agents rely on centralized APIs. If billing fails, your agent goes dark. Everclaw flips that model. With MOR staked, your agent runs on inference you own. No surprise invoices. No usage caps creeping up in the background. And if GLM-5 can’t handle something, Claude acts as a fallback, not the default.

What I appreciate is the practicality. There’s a **DIY setup guide** for running an always-on agent from something as simple as a Mac mini. Identity separation, on-chain guardrails, fallback tiers, even documented gotchas. It feels battle-tested, not theoretical.

Security is clearly a priority too. From supply chain scanning to prompt injection protection, the design assumes your agent is operating in the real world, not a sandbox.

If you’ve been curious about decentralized AI but hesitant because it sounded complicated, this is surprisingly approachable. Copy, paste, configure. That’s it.

We’re moving toward a world where agents transact, discover each other on-chain, and operate independently. Everclaw feels like a step in that direction. And honestly, owning your agent’s inference instead of renting it? That just makes sense.