AI Infrastructure · GitHub ·35 ★

eval-protocol

Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.

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Details

Author
eval-protocol
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
mdx
Stars
35
First indexed
2026-05-15
Last active
2026-04-07
Directory sync
2026-05-15
@eval-protocol

Overview

Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.

Quick start

git

git clone https://github.com/eval-protocol/eval-protocol

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What eval-protocol can do

frameworkfine-tun
  • Framework — framework task automation.
  • Fine Tun — fine-tun task automation.

Frequently asked questions

What is eval-protocol?
Eval Protocol (EP) is an open solution for doing reinforcement learning fine-tuning on existing agents — across any language, container, or framework.
How do I install eval-protocol?
Use git: `git clone https://github.com/eval-protocol/eval-protocol`. Full setup details on the source page linked above.
Is eval-protocol open source?
eval-protocol is published on GitHub.
What are alternatives to eval-protocol?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for eval-protocol is sourced from GitHub, published by eval-protocol.

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