Unofficial Go SDK for Claude Code CLI integration. See the Claude Agent SDK documentation for more information. This project has been renamed from claude-code-sdk-go.

The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

LLM agents as your hyperparameter optimizer.

OpenBrowser is a framework for intelligent browser automation. It combines direct CDP communication with a CodeAgent architecture, where the LLM writes Python code executed in a persistent namespace, to navigate, interact with, and extract information from web pages autonomously.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

AI said it finished. Flyto2 shows the proof.

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Build autonomous AI agents in Python.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Universal memory runtime for AI agents

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

Transparent and Efficient Financial Analysis

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.