Comparison

AutoGen vs LangChain

On the evidence we track, LangChain leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
AutoGen59
LangChain81
Score
Vioscale score
AutoGen59 / 100medium · 51%
LangChain81 / 100medium · 70%
Pricing
Free tier
AutoGen
LangChain
Model
LangChainfreemium
Price level
AutoGenfree
LangChainmid
Starting price
AutoGen
LangChain$39
Transparent
AutoGen
LangChain
Integrations
Count
AutoGen7
LangChain1,000
Reliability
Sla pct
AutoGen
LangChain99.5
Status page
AutoGen
LangChain
Adoption
Dependent repos
AutoGen0
LangChain18,663
Github stars
AutoGen60,640
LangChain145,063
Package downloads weekly
AutoGen130,424
LangChain2,967,570
Activity
Commits last 30d
AutoGen
LangChain100
Release
Cadence days
AutoGen8
LangChain
History
AutoGen20 items
LangChain20 items
License
Spdx
AutoGenCC-BY-4.0
LangChainMIT
Language
Primary
AutoGenPython
LangChainPython
Market
Availability
AutoGen

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
AutoGenAgent / RAG framework
LangChainLLM observability / eval
Deployment
Self-hostable / OSS core
AutoGen
LangChain
Managed cloud available
AutoGen
LangChain
On-prem / VPC deployment
AutoGen
LangChain
Observability
LLM tracing / observability
AutoGen
LangChain
Evaluation (offline / LLM-judge / human)
AutoGen
LangChain
Dev
Prompt management + versioning
AutoGen
LangChain
Tracking
Experiment tracking / model registry
AutoGen
LangChain-
Serving
Model serving / inference endpoint
AutoGen
LangChain
Interop
OpenTelemetry / OpenLLMetry compatible
AutoGen
LangChain
Framework-agnostic
AutoGen
LangChain
Gateway
Multi-provider model support
AutoGen
LangChain
Data
No-train-on-customer-data guarantee
AutoGenYes
LangChainUnknown

What each one is

The product in its own terms, so the numbers below have context.

AutoGen

A programming framework that enables developers to create autonomous agents and multi-agent systems using AI. It supports orchestration, tool use, and integration with various language model providers.

Independently observed

LangChain

Leader

LangSmith provides observability through tracing to debug agent behavior, evaluation capabilities to test and score agents with human review and automated assessments, and deployment services to run agents at scale.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

AutoGen

Open source
as of verify ↗

LangChain

Leader
from $39/seat/moSubscriptionFree tier

Free Developer plan (5k traces). Plus plan $39/seat/month. Enterprise custom. Usage-based pricing for compute (LCU=$1.50) and storage (LSU=$1.00).

  • DeveloperFree
    • 1 free seat
    • 5k base traces/month
    • Tracing and analytics
    • Access to LangSmith platform
  • Plus$39/seat/month + usage (LCU/LSU), 10k traces included, 1 free small deployment
    • Unlimited seats
    • 10k base traces/month
    • 1 free small serverless deployment
    • Full tracing and analytics
    • Evaluation tools
  • EnterpriseContact sales
    • Advanced administration
    • Dedicated support
    • Custom deployments
    • White-glove onboarding
    • Proactive monitoring
    • +1 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
AutoGen
LangChain
Deployment
Cloud / SaaS
AutoGen
LangChain
Self-hosted
AutoGen
LangChain
Hybrid
AutoGen
LangChain

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (3)
  • OpenAI
  • Anthropic
  • AzureOpenAI

AutoGen

8 total - 5 not shared
  • Azure AI
  • Bedrock
  • Ollama
  • DuckDuckGo Search
  • Model Context Protocol (MCP)
Independently observed

LangChain

Leader
9 total - 6 not shared
  • Cohere
  • Google
  • Azure AI Search
  • Microsoft Fabric
  • Azure Kubernetes Service
  • OpaquePrompts
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.