AI Agent Platforms

Low-code platform for building agentic and RAG applications with drag-and-drop components, Python customization, and support for any LLM or vector database.

Open source platform for building AI agents, chatbots, and LLM workflows using visual drag-and-drop interface. No coding required for rapid prototyping.

Free, open source AI chat platform compatible with any AI provider. Offers a wide range of features, including agents, code interpreter, and multimodal capabilities.

Integrate production-ready AI copilots into any product quickly and easily with CopilotKit's open-source platform.

Letta is an open-source platform for creating AI agents with built-in memory, reasoning, and support for thousands of tools.

Open source AI assistant that executes complex tasks from market research to travel planning through natural conversation, with full transparency and community-driven development.

Conversational AI engine that keeps agents business-aligned and compliant as you scale. Build adaptive agents through feedback-driven development.

A comprehensive platform for creating AI agents with intuitive tools, extensive integrations, and enterprise-grade features powered by the latest language models.

Provide AI agents with secure, isolated sandboxes featuring real-world tools, code execution, and enterprise-grade security. Trusted by 88% of Fortune 100 companies.

Complete integrations platform with 500+ pre-built APIs, code-first approach, unified data models, and enterprise-grade security. Free tier available.

Open-source infrastructure for long-lived, in-memory processes called Actors. Combines state and compute with sub-millisecond latency, realtime capabilities, and horizontal scaling.

Platform for connecting AI agents to 500+ tools with built-in multi-tenant auth management and granular permissions using either function calling or a unified MCP server

Create intelligent automation workflows combining AI agents with your favorite apps and services. Connect, automate, and scale your operations without complex coding.

Create powerful AI agents using an intuitive node-based interface that connects multiple LLMs and data sources for automated documentation and development workflows.

Open-source TypeScript framework for autonomous AI agents with cognitive memory, multimodal RAG, multi-agent orchestration, and 21 LLM integrations. Type-safe alternative to LangGraph and CrewAI.