Project Graph

microsoft/autogen

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

microsoft/autogen graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes86
Edges404
Projects44
Dependencies31

Project Context

autogen

Maintainermicrosoft
LicenseCC-BY-4.0
LanguagePython
Recent activityLast push 156 days ago

Deployment Targets

library_onlylocalcloud

Dependencies

LLM provider

Knowledge Graph

86 nodes / 404 edges

microsoft/autogen focus agent framewo… category library_only deployment local deployment cloud deployment build agents … use case orchestrate L… use case prototype aut… use case LLM provider dependency langchain project crewAI project adk-python project CopilotKit project AutoGPT project E2B project

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

microsoft/autogen -> langchain-ai/langchainCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: License changes from CC-BY-4.0 to MIT.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
microsoft/autogen -> crewAIInc/crewAICompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: library_only. License changes from CC-BY-4.0 to MIT.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
microsoft/autogen -> google/adk-pythonCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: License changes from CC-BY-4.0 to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases

build agents with autogenorchestrate LLM toolsprototype autonomous workflows

Categories

agent framework

Alternatives

langchain-ai/langchaincrewAIInc/crewAIgoogle/adk-pythonlivekit/agentsomnigent-ai/omnigentSignificant-Gravitas/AutoGPT

Related Projects

CopilotKit/CopilotKitSignificant-Gravitas/AutoGPTe2b-dev/E2Bagentscope-ai/agentscopeomnigent-ai/omnigentag2ai/ag2