kanoniv

kanoniv / agent-auth

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Cryptographic identity and delegation for AI agents

10
2
100% credibility
Found Mar 19, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Cryptographic library for giving AI agents secure identities and permission chains that work across Rust, JavaScript, and Python.

How It Works

1
🔍 Discover secure AI teams

You hear about a way to make AI agents work together safely, like giving them digital IDs and permission slips so no one oversteps.

2
📦 Add security to your project

You easily add this security layer to your existing AI agent setup in whatever language you're using.

3
🆔 Create agent identities

You give each AI agent their own unique digital ID, like a secure passport, so everyone knows who is who.

4
đź”— Share powers carefully

You let the lead agent pass on limited powers to helpers, like 'you can research but not change things'.

5
⚙️ Run your agent team

Your agents now hand off tasks securely, checking permissions automatically without you lifting a finger.

6
đź“Š Review the secure log

You check a tamper-proof record of every action, seeing exactly who did what and with what permission.

âś… Build with total trust

Your AI team runs smoothly and securely, giving you confidence in every decision and output.

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Star Growth

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AI-Generated Review

What is agent-auth?

Agent-auth is a Rust-based cryptographic identity system for AI agents, delivering verifiable proofs of authority in delegation chains. It solves the agent authorization problem in multi-agent setups like MCP servers, where API keys enable unchecked tool calls—replacing implicit trust with self-contained proofs that servers verify on-chain without lookups. Available in Rust, JavaScript, and Python with byte-identical outputs, it supports agent auth github workflows via CLI tools for generating keys, delegations, and MCP proofs.

Why is it gaining traction?

It stands out by adding drop-in delegation to frameworks like CrewAI, LangGraph, AutoGen, and OpenAI Agents, enforcing caveats like action scopes, max costs, and expirations that narrow with each handoff. Developers notice instant cryptographic identity verification—no more agent authentication failed errors or manual audits—plus MCP middleware that strips proofs and cleans args automatically. Cross-language interop and provenance tracking make it hook for agent authorisation online without rewriting agent pipelines.

Who should use this?

AI engineers building agent authority types for production multi-agent apps, like finance coordinators delegating trades or hospital systems scoping diagnostics. MCP server devs handling agent authorization form vanguard-style requests, or teams using CrewAI/LangGraph needing cryptographic proof of identity to gate tools. Ideal for those tired of cryptographic failures github issues in untrusted agent calls.

Verdict

Promising early foundation for agent auth with solid demos and integrations, but at 10 stars and 1.0% credibility, it's pre-production—test thoroughly for edge cases like revocation. Grab it if you're prototyping trustworthy agents now; watch for W3C DID registration.

(198 words)

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