Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Pixelize the real world on-chain
Compound Engineering Framework for Alpha Feature Research in Quant Finance
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Composable agent runtime with enforced isolation boundaries
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
π Universal SDK for building next-gen MCP servers
Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more β built for next gen apps
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
π Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools β in just a few lines of TypeScript.
An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.