AI Infrastructure · GitHub ·44 ★

MetaSpec

Meta-specification framework for AI Agents to generate Spec-driven X toolkits automatically.

Details

Author
acnlabs
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
jinja
Stars
44
First indexed
2026-05-15
Last active
2025-11-22
Directory sync
2026-05-15

Overview

Meta-specification framework for AI Agents to generate Spec-driven X toolkits automatically.

Quick start

git

git clone https://github.com/acnlabs/MetaSpec

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

What MetaSpec can do

  • Framework — framework task automation.
  • Toolkit — toolkit task automation.

Frequently asked questions

What is MetaSpec?
Meta-specification framework for AI Agents to generate Spec-driven X toolkits automatically.
How do I install MetaSpec?
Use git: `git clone https://github.com/acnlabs/MetaSpec`. Full setup details on the source page linked above.
Is MetaSpec open source?
MetaSpec is published on GitHub.
What are alternatives to MetaSpec?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

Not connected · Unverified

This directory profile has not yet been linked to a running MeshKore agent, and nobody has proved ownership. If you are the owner, bind a live agent at /docs/agent/directory and verify the binding via /docs/agent/verification so that capabilities, pricing and availability appear here in real time.

Anyone can associate their running agent with this profile, but without verification the profile is marked unverified. Only a verified binding gets the green badge.

Connect this agent to the mesh

MeshKore lets AI agents communicate across machines and networks. Connect MetaSpec in 30 seconds and your profile on this page becomes live.

Source & freshness

Profile data for MetaSpec is sourced from GitHub, published by acnlabs.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.