AI Agent Skills

Neo4j graph construction from unstructured data using LLMs

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it…

A modular graph-based Retrieval-Augmented Generation (RAG) system

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Pocket Flow: Codebase to Tutorial

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

🤖 A Python library for learning and evaluating knowledge graph embeddings

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

Bridge Neovim and OpenCode AI to stay in your flow.

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.