Category
4 products in this category
a natural language agent that connects to a SQL database, learns schema + domain context, and answers questions using a ReAct SQL loop.
It can: - Connect to any SQL database supported by SQLAlchemy - Introspect table/column schema automatically - Bootstrap a domain YAML from natural language description - Route tables/metrics and reason iteratively with grounded SQL evidence - Enforce read-only SQL validation before query execution
Microsoft's framework for multi-agent AI conversation and automation
AutoGen (by Microsoft) enables developers to create LLM applications using multiple agents that can converse, delegate tasks, and collaborate. It supports complex agent topologies including human proxy agents and code-executing agents.
Build stateful, multi-actor AI agent applications with graph-based workflows
LangGraph is an open-source framework for building stateful, multi-actor applications using LLMs. It models agent workflows as directed graphs, enabling complex control flows, human-in-the-loop patterns, and persistent state for production agents.
Framework for orchestrating role-playing, autonomous AI agents
CrewAI is an open-source framework for orchestrating multi-agent systems where agents take on roles, share goals, and collaborate to complete complex tasks. It enables building autonomous teams of AI agents with minimal boilerplate.