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Compare/AutoGen vs BeeAI Framework

AutoGenvsBeeAI Framework

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

AutoGen
Microsoft · Agent framework
OSSMCP
Panel
4.5
4 spec wins
Reliability
4.8
Usefulness
4.3
Cost
6.3
Longevity
2.7

“The docs are CC-BY-4.0, so you may freely redistribute the notice telling you to use something else.”

BeeAI Framework
Linux Foundation AI & Data (originally IBM) · Agent framework
OSSMCP
Panel
4.4
0 spec wins
Reliability
4.0
Usefulness
4.5
Cost
6.7
Longevity
2.5

“It ships caching and serialization, so your agent can perfectly restore a state that nobody is maintaining.”

Spec by spec

SpecAutoGenBeeAI Framework
Architecture
CategoryAgent frameworkAgent framework
Runslocallocal
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsNoNo
Git operationsNoNo
Browser controlYesNo
Sandboxed executionYesNo
Multi-agent orchestrationYesYes
Headless / CI modeYesYes
Models
BackboneOpenAI, Azure OpenAI, any autogen-ext model clientwatsonx, Ollama, GPT, Claude
Bring your own modelYesYes
Local modelsYesYes
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseMITApache-2.0
GitHub stars61,2533,426

Which one would each critic pick

CriticAutoGenBeeAI FrameworkPick
El Juez——not enough reviews
El Amigo4.54.3AutoGen — Do not adopt AutoGen for new work; Microsoft has put it in maintenance mode and points you elsewhere, so pick LangGraph or smolagents if you are starting an agent today.
El Crítico4.04.3BeeAI Framework — IBM has stated it will not maintain the code going forward, which is a maintainer telling you in advance that nobody is answering the next issue you file.
El Profesor5.04.5AutoGen — Four layers, core, agentchat, ext and Studio, over an event-driven runtime with local and distributed modes, and code execution delegated to Docker; the design outlived its maintainers.
La Inversora3.84.0BeeAI Framework — This existed to make watsonx the obvious backend, and once that stopped being worth funding, the donation to a foundation was the graceful way to stop.
La Jefa4.04.0no preference
El Hacker6.05.5AutoGen — MIT code, McpWorkbench for MCP, any autogen-ext model client including local ones, and the fork already happened: the original maintainers ship the 0.2 line as AG2 under Apache-2.0.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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