MetaClaw
ActiveDescription
A meta-learning agent framework that learns and evolves through conversation, enabling agents to autonomously acquire new skills and optimize strategies.
A meta-learning agent framework that learns and evolves through conversation, enabling agents to autonomously acquire new skills and optimize strategies.
A GenAI application development framework that simplifies agent interaction with structured data and chained-calls syntax, using event-driven flow for complex logic.
Atomic Agents is a modular AI agent building framework with an atomic design philosophy, providing composable components including tools, pipelines, and memory management for constructing agent systems.
AutoChain is a lightweight, extensible, and testable LLM Agent framework by Forethought, providing clean abstractions for agent building with automatic tool selection, conversation history management, and automated testing workflows.
An agent framework for llama.cpp that supports structured function calls and JSON output, enabling easy interaction with local LLMs without fine-tuning.