Head to head · Coding · updated Oct 15, 2026
smolagents vs Goose
smolagents scores 67 to Goose's 35 on public evidence for build AI agents (frameworks), and they rank #1 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
smolagents
Minimal Python library for agents that write and execute code as their actions.
+ Code-as-action agents in about a thousand lines of core code that work with any Hub model.
− Running model-written Python needs sandboxing, which is left mostly to you.
Goose
Open-source, extensible local AI agent that automates engineering tasks via MCP extensions.
+ MCP-first design means any MCP server becomes a Goose capability with no glue code.
− Less tuned for coding than Claude Code, so results vary widely by model.
Side by side
public evidence| smolagents | Goose | |
|---|---|---|
| Evidence score / 100 | 67 | 35 |
| GitHub stars | 29,864 | 0 |
| Hacker News stories, 30d | 0 | 6 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 8 days ago | – |
| Pricing | Open source · Free | Open source · Free; bring your own model |
| Platforms | cli, api | cli, mac, linux, windows |
| Maker | Hugging Face | Block |
Which one?
Pick smolagents if
- you want the stronger public evidence (67 vs 35)
- you need it on api
- a bigger GitHub community matters (29,864 vs 0 stars)
Best for lightweight agents with open models.
Pick Goose if
- you need it on linux, mac, windows
Best for engineers automating tasks beyond pure coding.