AI Agents Frameworks

Developing BAML, the AI framework that puts the engineering back into prompt engineering. The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

BaseAI is the first web AI framework for building Serverless AI agents with Node.js and TypeScript. OPEN: BaseAI is free and open-source LOCAL: world-class local developer experience CLEAN: unlike existing frameworks, BaseAI has zero bloatware no boilerplate code COMPOSABLE: build composable AI pipes (agents), tools (self-healing), and memory (RAG) SERVERLESS: prod-ready, easily deploy to Serverless AI cloud with npx baseai deploy command Developers use BaseAI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using ⌘ Langbase (creators of BaseAI).

The open-source platform to discover and run AI agents from any framework.

Black Forest Labs creates advanced, fast AI image generation models under their FLUX suite. These models support creative, design, and enterprise use cases with flexible licensing and API integration.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. Part of the The Apache Software Foundation.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

CareFlo AI by AutomationEdge is built for healthcare, homecare, and hospice providers—automating operations, enhancing care, and simplifying compliance. 🧠 Use Cases: Healthcare: CareFlo AI Agent; Banking & Finance: AI Bots for Risk & Operations; IT & HR: Internal Service Desk Automation; Manufacturing & Telecom: AI-Driven Operational Bots; AutomationEdge drives digital transformation with intelligent automation—across every sector.

CRAB aims to become a general-purpose agent benchmark framework for Multimodal Language Model (MLM) agents. CRAB provides an end-to-end while easy-to-use framework to build agents, operate environments, and create benchmarks to evaluate them, featuring three key components: cross-environment support, a graph evaluator, and task generation. We present CRAB Benchmark-v0, developed using the CRAB framework, which includes 120 tasks across 2 environments (Ubuntu and Android), tested with 6 different MLMs under 3 distinct communication settings.

A cutting-edge framework for orchestrating role-playing, autonomous AI agents that work together seamlessly to tackle complex tasks.

Development frameworks that help to build and deploy AI agents.

The fastest way to bring multi-agent workflows to production. Supporting workflows defined using #AutoGen (other frameworks to follow soon).

Flo is a composable framework that simplifies the creation of AI agent architectures. It provides a flexible, modular approach to building agent-based applications while maintaining the power and sophistication needed for complex AI systems.

Development frameworks that help to build and deploy AI agents.

Google Opal is a no-code tool that lets users create and edit AI mini-apps using natural language or drag-and-drop interfaces. It converts prompts into visual workflows and supports collaboration via templates and Google accounts. Built on Gemini models, it's currently in U.S. public beta.

An open-source agent development platform that enables engineers to build scalable, multi-step AI workflows with long-term memory, task orchestration, and tool integrations. It abstracts infrastructure, supports branching logic, error handling, and parallel execution, acting as a comprehensive backend for intelligent agents.