Agents that plan, act, and iterate with minimal human input.
Autonomous AI agents that plan and execute multi-step tasks without continuous input.
Composable building blocks for LLM-powered agents with tool use and memory.
Microsoft's multi-agent conversation framework for building LLM applications.
Multi-agent framework for building role-based autonomous teams that collaborate on goals.
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.