Just dropped a dedicated page for autonomous agents.
https://t.co/HICDqM8uWm
If you’re building or running agents (Hermes, OpenClaw, LangGraph, CrewAI, https://t.co/eAVvnM75to, etc.), this is for you.
What’s inside:
- Full “Prove Before Act” workflow
- x402 zero-account payment example (no API key needed)
- MCP integration details
- Real production stats from Moltbook (4.4k+ proofs, 100% confirmation)
- Honest assessment of limitations
Designed to be easily discoverable by agents themselves (llms.txt + agent context).
hermes skills install clawhub/xproof
Builders & agent devs I would love your feedback on this page.
@GreenSmokeAI Perfectly said.
Prove Before Act makes the reasoning auditable before action.
Your reputation layer makes the outcome permanent and verifiable.
They are highly composable.
Let’s talk. DM is open whenever you want.
@GreenSmokeAI 100% agree.
Prove Before Act + reputation-after-act = the full stack.
Happy to connect and see how xProof can integrate with GSN.
Let’s talk whenever you’re free.
Fair enough. If you already have solid internal audit trails with git + OverCR, adding on-chain isn’t necessary for every use case.
xProof is mainly useful when you need public, immutable, and externally verifiable proofs (compliance, external parties, legal-grade requirements, etc.).
Price is $0.05 per proof but becomes progressively cheaper at volume (designed for agent fleets).
Thanks for the honest feedback and for checking out the architecture. Appreciate it.
Yes, everything is on GitHub !
Main repo :
https://t.co/1Nwd8zBY9g
ClawHub / Hermes skill :
https://t.co/XphZbhRFuk
The easiest way to install is still via ClawHub :
hermes skills install clawhub/xproof
I’m filling the accountability gap that most local agent stacks are still missing.
Prove Before Act, anchoring the agent’s reasoning + planned decision on-chain before execution, with a public immutable 4W audit trail.
If you’re building something in this space, feel free to reach out. Happy to share examples or help with the integration.
The full picture is forming :
Knowledge + Skills + Memory + Accountability
This combination will be key for moving agents from experimental to production.
What other infrastructure pieces do you think are still missing ?
Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at https://t.co/CCfLJenYdd to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat).
This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!
Agent Wikis + MCP is exactly the kind of infrastructure agents need for reliable knowledge.
As agents get better tools (wikis, memory, skills), the next critical layer is accountability.
xProof is available in the Hermes Skills Hub:
hermes skills install clawhub/xproof
It lets agents anchor their reasoning + decisions on-chain before acting (“Prove Before Act”).
@IBuzovskyi Solid guide on Hermes Agent.
Persistent memory, self-improving skills, multi-agent workflows… this is getting very close to real production agents.