Prismer-AI

Prismer-AI / signet

Public

Cryptographic action receipts for AI agents — sign, audit, verify.

13
0
100% credibility
Found Apr 01, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Signet creates tamper-proof digital receipts for actions performed by AI agents, enabling signing, logging, auditing, and offline verification.

How It Works

1
🔍 Discover trustworthy AI tracking

You learn about a straightforward way to record and prove every move your AI helper makes.

2
🆕 Set up your agent's identity

You quickly create a unique, secure identity for your AI helper so it can sign its own actions.

3
✨ Sign the first action

Your helper performs a task like creating a to-do item, and it instantly creates a signed proof of what it did.

4
📝 Actions build a safe log

Each signed action automatically adds to a protected record book on your computer that can't be altered.

5
📋 Check the action history

You easily review what your helper has done recently, like in the past day or by specific tasks.

6
✅ Confirm any proof

You verify any single action's proof right on your device, no internet needed, to ensure it's real.

🛡️ Total trust in your AI

Now you always have undeniable proof of exactly what your AI helper did and when.

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Star Growth

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AI-Generated Review

What is signet?

Signet lets AI agents sign every tool call—like creating a GitHub issue—with an Ed25519 key, producing cryptographic receipts you can audit and verify offline. It chains receipts in a tamper-evident local log, proving exactly what your agent did, when, and with what params. Rust core powers a CLI for quick signing/auditing, plus Python bindings for LangChain/CrewAI/AutoGen and TypeScript for MCP transports.

Why is it gaining traction?

Unlike vague agent logs, Signet delivers verifiable proofs of intent without changing servers—MCP tools ignore the injected receipts. Devs love the zero-overhead wrapper: wrap any transport, sign actions automatically, query audits by tool or time. On github/signet, it tackles cryptographic failures github projects face by making agent actions accountable.

Who should use this?

AI engineers building autonomous agents in Python (LangChain, CrewAI) or TypeScript (MCP) who need audit trails for compliance or debugging. Teams deploying agents for GitHub actions, database ops, or high-stakes tools, where proving "agent X called Y with Z" prevents disputes. Rust fans wanting a solid crypto primitive for custom agent frameworks.

Verdict

Grab it now if you're in AI agents—CLI and bindings are production-ready with strong tests—but at 13 stars and 1.0% credibility score, treat as alpha for critical use. Watch github/signet for v2 server receipts.

(178 words)

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