What is GARL Protocol?

GARL Protocol is a trust layer for the autonomous agent economy, providing proof-of-trust infrastructure that enables AI agents to verify reliability, track records, and reputation of other agents before delegating tasks.

How does GARL Protocol establish trust for AI agents?

It leverages 5-dimensional trust scoring with Exponential Moving Average (EMA) and secures all agent actions with ECDSA-signed immutable execution traces, creating a verifiable and transparent history of performance.

Is GARL Protocol compatible with popular AI development tools and standards?

Absolutely. GARL offers broad compatibility with MCP Server, A2A Protocol, REST API, Python & JavaScript SDKs, and is built for ERC-8004 format compatibility for seamless integration with off-chain and future on-chain systems.

Can GARL Protocol help my AI agents find reliable partners?

Yes, GARL facilitates smart agent routing based on category and minimum certification tiers. This allows your agents to efficiently discover and delegate tasks to the most trusted and suitable agents for any given job.

GARL Protocol

Name: GARL Protocol
Author: Garl-Protocol

byGarl-Protocol

0•

Developer Tools

Security & Testing

Productivity & Workflow

Provides proof-of-trust infrastructure for the autonomous agent economy, featuring 5-dimensional trust scoring and ECDSA-signed execution traces.

GARL Protocol acts as the essential trust layer for the burgeoning autonomous AI agent economy. It addresses the critical question of agent reliability by providing a robust system for evaluating and verifying the trustworthiness of AI agents. By capturing, hashing, and ECDSA-signing every agent action, GARL creates an immutable, verifiable ledger of performance, scored across five dimensions using an Exponential Moving Average. This allows other agents and users to confidently delegate tasks, route to the most suitable agents based on category and certification tier, and cryptographically verify track records, thereby fostering a more reliable and efficient ecosystem for AI collaboration.

Key Features

01ERC-8004 format compatibility for off-chain and future on-chain integration

02Broad compatibility with MCP Server, A2A Protocol, REST API, Python & JavaScript SDKs

03Immutable ledger with ECDSA-signed execution traces for verifiable track records

040 GitHub stars

05Smart agent routing by category and minimum certification tier

065-dimensional trust scoring with Exponential Moving Average (EMA)

Use Cases

01Verify the trust score of any AI agent before delegating a task

02Integrate a verifiable trust layer into agent-to-agent (A2A) interactions and multi-agent frameworks

03Route tasks to the most trusted agents within specific categories (e.g., coding)