mishrasanjeev

mishrasanjeev / grantex

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grantex is the identity, authorization, and audit infrastructure for AI agents — the "OAuth moment" for the agentic internet. We provide a universal SDK and cloud service that lets any AI agent act on behalf of a human with scoped, revocable permissions, cryptographic identity, and an immutable audit trail. Developers integrate in minutes.

grantex.dev ai ai-agents audit-trail authorization compliance
12
0
100% credibility
Found Mar 03, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Grantex provides a standardized protocol and hosted service for developers to grant scoped, revocable permissions to AI agents on behalf of users, with audit logs and a user-friendly consent interface.

How It Works

1
👀 Discover Grantex

You hear about Grantex, the simple way to safely give AI agents limited permissions on your behalf, like a secure permission slip.

2
📝 Create your account

Sign up for a free account to start managing agent permissions for your projects.

3
🤖 Register your agent

Tell Grantex about your AI agent by giving it a name, description, and the permissions it might need.

4
✅ Get user approval

Share a friendly permission screen with the person whose data the agent will use—they review and approve in plain language.

5
🔑 Receive permission token

Grantex gives you a secure, time-limited token that proves the agent is authorized.

6
📊 Monitor and control

Watch agent actions in your dashboard, see logs, and revoke access anytime with one click.

🎉 Agents work safely

Your AI agents now act securely with full audit trails and easy oversight, just like you wanted.

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AI-Generated Review

What is grantex?

Grantex delivers identity, authorization, and audit infrastructure for AI agents, acting as the OAuth equivalent for agentic workflows. Developers register agents, request scoped permissions from users via a consent UI, exchange codes for verifiable JWT grant tokens, and log actions to an immutable trail—all with TypeScript, Python, and Go SDKs plus a cloud service. Services verify tokens offline using public JWKS, ensuring agents act securely on users' behalf with calendars, emails, or payments.

Why is it gaining traction?

It hooks developers with frictionless integration (minutes via SDKs or CLI), offline verification (no runtime deps), and multi-agent delegation where sub-agents inherit narrowed scopes. Framework adapters for LangChain, CrewAI, Vercel AI, and AutoGen make it drop-in ready, while enterprise extras like anomaly detection, policy engines (OPA/Cedar), budgets, and compliance exports handle production scale. The open v1.0 protocol spec and playground let teams test agentic auth flows instantly.

Who should use this?

AI developers building agent pipelines that access user data—like travel bookers reading calendars or finance bots initiating payments. Teams using LangChain, CrewAI, or OpenAI Agents SDK who need revocable permissions, audit trails, and cryptographic proofs without rebuilding auth from scratch.

Verdict

Promising open standard for agent authorization (12 stars, 1.0% credibility)—docs, examples, and Docker self-hosting are polished, but low adoption signals early maturity; run the playground or local stack to validate before production. Strong for agentic prototypes.

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