
CrewAI
Multi-agent automation framework & studio to build and run AI crews
Discover top open-source software, updated regularly with real-world adoption signals.

Orchestrate resilient, stateful language agents with graph‑based workflows
LangGraph is a low‑level Python framework for building, managing, and deploying long‑running, stateful LLM agents, offering durable execution, human‑in‑the‑loop control, and integrated memory.
When teams consider LangGraph, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Customer support chatbot with ticket escalation
Handles multi‑turn conversations, accesses knowledge base, and escalates to human agents when needed, persisting context across sessions.
Research assistant that aggregates literature
Iteratively searches, summarizes, and stores findings, maintaining a persistent knowledge graph for future queries.
Financial advisor agent with compliance checks
Performs calculations, consults external APIs, and logs decisions, allowing auditors to review state at any step.
Automated code review pipeline
Runs through multiple analysis tools, remembers prior feedback, and interacts with developers for clarification, resuming after interruptions.
LangGraph is a Python library, with a separate JavaScript version available in its own repository.
The framework checkpoints graph state so that if a failure occurs, execution can resume from the last saved node without losing progress.
No. LangGraph can be used standalone, though it integrates smoothly with LangChain components for additional functionality.
Yes. The README points to a separate JS repository and documentation for the JavaScript implementation.
LangSmith provides observability, debugging, and deployment tools that can trace LangGraph executions, capture state transitions, and offer runtime metrics.
Project at a glance
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