Autonomous AI agents that perform tasks independently
Ansh Tyagi
AI-powered documentation generator for code projects
SerPeter
Token-efficient data format converter for LLM contexts
Jacob Ewen
A lightweight Python library for creating reliable, contract-driven LLM functions whose core logic is implemented by an LLM.
...moreImageOps Contributors
Production-grade async image preprocessing for LLM APIs
Daixuan Cheng, Shaohan Huang
A lightweight framework that connects LLMs to a virtual computer (Docker-based sandbox) to build general-purpose agents
Jlassi Raed <[email protected]>
A Python library for managing multi-agent model invocation with automatic failover strategies
Netraj Patil <[email protected]>
A multi-model LLM evaluation framework with consensus-based aggregation for RAG, summarization, and agentic AI workflows
Devendra Parihar <[email protected]>
Give your AI agents persistent, searchable long-term memory with pluggable storage backends
onebottlekick
multi-agent development
Xinghao Huang <[email protected]>
A lightweight Python library for optimizing and cleaning LLM inputs
Nisaharan Genhatharan
Trace and explain LangChain agent reasoning step-by-step
Tom Mathews <[email protected]>
A Python framework for building intelligent, recursive task decomposition systems powered by Large Language Models
LLM Smart Router Contributors <[email protected]>
Intelligent tool routing for LLMs with 95.8% reduction in context size
Daniel Hogan
Snow Globe multi-agent system for open-ended wargames with large language models
Tianzhu Qin <[email protected]>
LLM-driven agent-based information diffusion simulation
Izhar Ali
Agent framework with tool calling for OpenAI, Anthropic, and Google
Alfred Wallace
A collection of preset efficient prompts packaged into LLM agents.
Roy Dawson IV <[email protected]>
A standardized, file-based telemetry toolkit for LLM Agents.
zhu-weijie <[email protected]>
A library to easily build LLM agents with tool-using capabilities.
Vivek Gaur <[email protected]>, Ashish Kumar Dwivedi <[email protected]>
Tool calling runtime for text-only LLMs with LangChain support
Paul Eger
Orchestrate LLM tasks. Define workflows, run and track progress.
Louis Groux <[email protected]>
Quick way to access LLM output in CLI and run Code Agents
andrewmonostate
Intelligent web scraping with AI Q&A, PDF support and multi-level fallback system - 11x faster than traditional scrapers