Browse AI Agents

Agent Zero

Agent Zero is an organic, open-source agent framework that adapts and grows with use. It enables agents to reason, execute code, generate tools, and coordinate through hierarchical structures. Because it is fully transparent, customizable, and interactive, you can guide, tweak, and evolve agent behavior over time. Agent Zero is suited for building personal assistants, autonomous task systems, and multi-agent ecosystems that continuously learn from their environment.

PraisonAI

PraisonAI is a robust multi-agent AI framework that enables developers to build and manage teams of autonomous agents with self-reflection, tool integrations, memory, and orchestration. It supports modular agent collaboration, YAML and code configurations, and interoperability with existing agent frameworks. By combining flexibility, transparency, and advanced agent capabilities, PraisonAI helps turn complex tasks into maintainable and scalable agent systems.

Gemini Enterprise

Gemini Enterprise is Google’s business AI platform for building, deploying, and managing autonomous agents. It combines prebuilt agents, connectors to enterprise systems, and a flexible Agent Builder to create safe, scalable, and production-ready AI workflows. By uniting Gemini’s multimodal intelligence with enterprise-grade security and governance, Gemini Enterprise helps organizations embed intelligent automation across research, analytics, and operations.

OpenAI Agent Builder

OpenAI Agent Builder is a visual platform for building, deploying, and managing autonomous AI agents. It provides a node-based workflow canvas, integrated tools, traceability, and safety controls that connect language models to real-world systems and data. By combining flexibility with guardrails, OpenAI Agent Builder helps teams create scalable, production-ready agentic applications for automation, product assistance, and enterprise operations.

Retool

Retool Agents is an enterprise platform for building, deploying, and managing AI agents that can take real action inside business systems. It enables teams to connect language models to internal data, APIs, and workflows—allowing agents to perform tasks, automate decisions, and collaborate safely within governed environments. By combining AI orchestration with Retool’s visual development tools, Retool Agents makes it easy to create scalable, secure, and production-ready autonomous systems for operations, analytics, and customer workflows.

Crew AI

Crew AI is an open-source framework for building and coordinating collaborative AI agents. It enables developers to create specialized agents with defined roles and tools that work together to complete complex workflows. By supporting multi-agent teamwork, Crew AI makes it easier to design scalable, autonomous systems for research, content creation, business automation, and data analysis.

Manus

Manus is a general-purpose autonomous AI agent that transforms user intent into real action. It can plan, reason, and execute multi-step tasks across tools, APIs, and data systems without constant supervision. Designed for business, research, and personal productivity, Manus operates independently to complete complex workflows, making it one of the most advanced examples of fully autonomous AI assistance.

RooCode

Roo Code is an open-source autonomous coding agent that works inside Visual Studio Code. It helps developers write, debug, and improve software by understanding project context and executing multi-step coding tasks. Roo Code connects to large language models like OpenAI or Gemini, runs commands, edits files, and refines code automatically, making it a powerful AI companion for modern software development.

BAML

BAML (Boundary Markup Language) is an open-source domain-specific language that brings type safety and structure to AI development. It allows developers to define prompt functions, input and output schemas, and validation rules that automatically generate reliable code across languages like Python, TypeScript, Ruby, and Go. BAML ensures consistent, schema-validated responses from large language models, making AI applications more predictable, testable, and production-ready.

Gumloop

Gumloop is a no-code AI automation platform that lets users build workflows powered by large language models. It allows teams to connect tools, automate repetitive tasks, and create intelligent processes without writing code. Gumloop combines AI reasoning, data handling, and app integrations to help businesses streamline operations and boost productivity.

Langchain

LangGraph is an open-source framework for building stateful, multi-agent applications powered by large language models. It enables developers to design, orchestrate, and manage intelligent agents that reason, remember, and collaborate across complex workflows. LangGraph provides a graph-based architecture for creating adaptive AI systems with persistent memory, tool integration, and controllable logic—making it ideal for scalable, production-ready agent development.

Langgraph

LangGraph is an open-source framework for building stateful, multi-agent applications powered by large language models. It enables developers to design, orchestrate, and manage intelligent agents that reason, remember, and collaborate across complex workflows. LangGraph provides a graph-based architecture for creating adaptive AI systems with persistent memory, tool integration, and controllable logic—making it ideal for scalable, production-ready agent development.