CrewAI
Multi-agent automation framework & studio to build and run AI crews
LangGraph
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.
Overview
Highlights
Durable execution that automatically resumes after failures
Human‑in‑the‑loop state inspection and modification
Built‑in short‑term and long‑term memory support
Deep debugging and observability via LangSmith
Pros
- Fine‑grained control over agent architecture
- Scales to long‑running workflows
- Seamless integration with the LangChain ecosystem
- Extensive tooling for monitoring and deployment
Considerations
- Steeper learning curve than high‑level abstractions
- Requires explicit management of prompts and routing
- Python‑centric; separate JS version exists
- May need additional services (LangSmith) for full observability
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Fit guide
Great for
- Teams building complex, stateful AI assistants
- Enterprises needing reliable, resumable agent pipelines
- Developers who want to integrate custom memory or tools
- Projects that require human oversight during execution
Not ideal when
- Simple one‑shot LLM calls
- Users preferring out‑of‑the‑box prompt templates
- Environments without Python support
- Teams without access to LangSmith for debugging
How teams use it
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.
Tech snapshot
Python99%
Makefile1%
TypeScript1%
JavaScript1%
Frequently asked questions
What programming language is LangGraph implemented in?
LangGraph is a Python library, with a separate JavaScript version available in its own repository.
How does durable execution work?
The framework checkpoints graph state so that if a failure occurs, execution can resume from the last saved node without losing progress.
Do I need LangChain to use LangGraph?
No. LangGraph can be used standalone, though it integrates smoothly with LangChain components for additional functionality.
Is there a JavaScript version of LangGraph?
Yes. The README points to a separate JS repository and documentation for the JavaScript implementation.
How does LangGraph integrate with LangSmith?
LangSmith provides observability, debugging, and deployment tools that can trace LangGraph executions, capture state transitions, and offer runtime metrics.
Project at a glance
Active- Stars
- 23,518
- Watchers
- 23,518
- Forks
- 4,131
LicenseMIT
Repo age2 years old
Last commit2 days ago
Primary languagePython
Last synced yesterday