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Compare/AgentScope vs smolagents

AgentScopevssmolagents

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

AgentScope
Alibaba (Tongyi Lab) · Agent framework
OSSMCP
Panel
6.7
2 spec wins
Reliability
6.5
Usefulness
6.3
Cost
7.3
Longevity
6.7

“Deploys as a service with Discord, Slack, Feishu and DingTalk channels, so your agent can be ignored in four workplaces at once.”

smolagents
Hugging Face · Agent framework
OSSMCP
Panel
6.7
3 spec wins
Reliability
6.2
Usefulness
6.3
Cost
8.0
Longevity
6.3

“Ships a command-line tool called webagent, so the thousand lines also browse.”

Spec by spec

SpecAgentScopesmolagents
Architecture
CategoryAgent frameworkAgent framework
Runslocal, sandboxlocal, sandbox
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsNoNo
Git operationsNoNo
Browser controlNoYes
Sandboxed executionYesYes
Multi-agent orchestrationYesYes
Headless / CI modeNoYes
Models
BackboneanyHugging Face Inference providers, OpenAI, Anthropic, any LiteLLM model, Transformers, Ollama
Bring your own modelYesYes
Local modelsNoYes
Cost
Pricing modelfreebyok
Starts atn/a$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0Apache-2.0
GitHub stars32,65229,638

Which one would each critic pick

CriticAgentScopesmolagentsPick
El Juez——not enough reviews
El Amigo7.37.0AgentScope — Pick AgentScope if you would rather write tools than orchestration prompts; pick LangGraph if you need the control flow pinned down and resumable.
El Crítico6.36.3no preference
El Profesor7.06.3AgentScope — Execution is delegated to isolated environments including Docker, E2B, Kubernetes and a Daytona workspace, which is a real answer to the question most frameworks skip.
La Inversora7.06.5AgentScope — Alibaba's Tongyi Lab publishes this, which means the funding question is answered and the priority question is not; 30,000 stars is strategy, not revenue.
La Jefa6.06.3smolagents — As a dependency it costs nothing, has no support contract, and ships Hub integration that lets an engineer publish an agent as a public Space, which is the governance conversation to have first.
El Hacker6.88.0smolagents — Apache-2.0, TransformersModel loads weights on my own GPU, Ollama works, ToolCollection.from_mcp pulls any MCP server, and Tool.from_langchain steals from the other ecosystem.

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

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.