Multi-agent Web3 due diligence that leaves verifiable receipts.
ClawMind runs every analysis through 8 specialized agents, including an adversarial Critic that challenges weak assumptions before the final verdict.
Unresolved Critic challenges directly lower the score.
The final report is stored on 0G Storage and anchored on 0G Chain with EIP-712 signatures, so it can’t be quietly rewritten later without breaking the proof.
Built for DAOs, investors, and teams who need accountable AI-assisted due diligence, not just another chat window.
Try it: https://t.co/EmX5pH0JKJ
Live stats: https://t.co/qdNb99rBim
GitHub: https://t.co/TF3Z29V3vm
Docs: https://t.co/cZRPr3Qfyz
#BuildOn0G
unfortunately it's not a ClawMind day of 0G APAC hackathon that's why we are forced to stop the project because we have not received public approval.
BYE @0G_labs
The most important part of ClawMind is the Critic.
Most AI tools give you one confident answer and move on.
ClawMind deliberately adds an adversarial layer.
The Critic reviews the work of Researcher, Risk and Architect agents and raises real objections. Unresolved ones directly lower the final score.
This matters in Web3 one missed admin key or anonymous multisig can change everything.
We don’t just say “looks safe”.
We show you exactly what the Critic challenged and how it affected the result.
That’s why the output is actually useful for DAOs, investors and teams making real decisions.
#BuildOn0G
spent the last few days doing a proper post-hackathon hardening pass on ClawMind
the short version: Web3 due diligence shouldn't be a random AI chat transcript or a Notion page with a "looks safe" vibe. it needs structure, receipts, and the ability to verify everything later
every analysis runs through 8 agents - Memory, Planner, Researcher, Risk, Architect, Critic, Final, Memory Writer
the most important one is the Critic. most AI tools produce one confident answer. ClawMind intentionally adds an adversarial layer before the final verdict
if the Critic finds unresolved problems, the score drops: -15 for high severity, -7 for medium, -3 for low
so the score isn't just a model opinion. it's affected by explicit unresolved objections. that matters a lot in Web3 where one missed admin key or anonymous multisig changes the entire risk profile
what shipped in this pass:
every analysis is now recorded on 0G Mainnet with task hash, report hash, score, recommendation, storage URI, timestamp, and EIP-712 operator signature
reports are stored in 0G Storage with a root hash and 0g:// URI - you can retrieve and verify them against the on-chain hash later
added a public /stats page so anyone can verify the system is actually running and anchoring evidence, not just looking alive in the frontend: https://t.co/qdNb99rBim
ClawMind also runs as a remote MCP server now — any compatible client can trigger the same pipeline directly: https://t.co/g4HWn6OYUO
AI due diligence is easy to fake. nice frontend + GPT + a number = "autonomous research". but if a system influences grants, listings, or DAO votes, the output needs stronger guarantees than that
App: https://t.co/f2b1aCT9FF
GitHub: https://t.co/TF3Z29V3vm
#BuildOn0G
Spent tonight warming up ClawMind's memory.
it now has 44 semantic memory records, 31 generated from real analysis runs, and 19 signed reports anchored on @0G_labs mainnet.
contract:
0x24bAAC6720ae5B01A1CC90eCC1C15AFcb903E121
#BuildOn0G
ClawMind docs are officially live.
From multi-agent Web3 due diligence to 0G-backed report verification, everything is now documented in one place.
Explore the pipeline, API, 0G integration, self-hosting setup, and roadmap:
Link: https://t.co/fjw2nCz7Sp
#BuildOn0G
This is exactly why we’re building ClawMind on 0G.
AI agents don’t just need compute - they need fast, verifiable storage for memory, state, and provenance.
0G Storage feels like the missing layer for real agentic infrastructure.
#BuildOn0G
0G Storage was built for AI workloads, not for archives.
› Up to 90% cheaper than AWS S3 at 2 GB/s
› GPU-accelerated erasure coding
› Onchain provenance on every blob
› Mutable, real-time access (Arweave / Filecoin can't)
Hot storage is the gap. We filled it.
Hello, 0G community! While we are preparing our official documentation, you can explore it on GitHub
Docs: https://t.co/BRU6JUyaus
#BuildOn0G@dragon888@Jtsong2
ClawMind needs prompts.
45 runs in, 19 in memory, 100% signed on @0G_labs. The system gets sharper with every analysis but only if it sees more of the wild.
DM me a Web3 question you'd want 8 agents to chew on. I'll send back the full report.