Agents that plan, act, and iterate with minimal human input.
Autonomous AI agents that plan and execute multi-step tasks without continuous input.
Visual IDE for building AI agents and RAG workflows. Drag-and-drop interface on top of LangChain wit…
Composable building blocks for LLM-powered agents with tool use and memory.
A natural language interface for your computer. Executes code, manages files, and controls applicati…
Microsoft's multi-agent conversation framework for building LLM applications.
Multi-agent framework for building role-based autonomous teams that collaborate on goals.
Build resilient, stateful multi-agent applications. Extends LangChain with cycles, memory, and fault…
Browser-based autonomous agent powered by LangChain + browser automation.
A simple, lightweight agent framework built around a task-driven execution loop.
Memory-augmented agents with long-context memory hierarchies for extended conversations.
A lightweight framework for building and deploying autonomous AI agents.