LangChain
Verified β FeaturedFramework for building LLM-powered applications
Coding Agents
7.9 /10
Open Source Released
2022-10
Country
United States
API
Available
Self-Host
Yes
GitHub Stars
100,000
Last Reviewed
2025-06
About LangChain
LangChain provides a comprehensive framework for developing applications powered by LLMs. It offers chains, agents, memory, retrieval, and tool integrations that make it easy to build complex AI workflows. Used by thousands of developers for building chatbots, RAG systems, autonomous agents, and more.
Features
Chain orchestration
Agent framework
RAG support
Tool integration
Memory management
Multi-model support
Detailed Ratings
Ease of Use 6.0
Value for Money 8.0
Features 10.0
Support 6.0
Performance 8.0
Overall Rating
7.9 /10
Pros & Cons
Pros
- Open source
- Large ecosystem
- Flexible architecture
- Active community
Cons
- Complex learning curve
- Abstractions can be leaky
- Performance overhead
Use Cases
Chatbot developmentRAG systemsAutonomous agentsDocument analysis
Who Is It For?
Developers building production-grade LLM applications who need modular agent orchestration, observability, and deployment tooling
#framework#llm#open-source#agents#rag
Pricing Plans
Developer
Free
- 5,000 traces/month
- 14-day data retention
- 1 seat, 1 workspace
- Basic evaluations
- Community support
Plus
$39 /seat/month
- 10,000 traces/month included
- 14-day base + 400-day extended retention
- 3 workspaces
- $0.50 per 1K trace overages
- Annotations & feedback
Enterprise
Custom
- Unlimited traces
- Self-hosted / BYOC deployment
- SSO & SAML
- Audit logs
- Dedicated support & SLA
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