AI Agents Framework GitHub Repositories (2026) · Open Source Tools

AI frontend

An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Give your agent a proper IDE and OS. The sensorimotor cortex for coding agents (OpenCode + Pi), part of CortexKit: symbol-aware edits, semantic search, code health, fast grep/glob, bash compression, background tasks, PTY.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.

A playground for neuro-san

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI).

Neuro AI System of Agent Networks

Open-source, model-independent Agent Skill for evidence-based software reconstruction with REA. Optional integration, portable installer, and validation workflows.