Atmospherevssmolagents
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Atmosphere
Atmosphere · Agent framework
OSSMCP
Panel
6.93 spec wins
- Reliability
- 6.5
- Usefulness
- 6.7
- Cost
- 8.3
- Longevity
- 6.2
“One annotation gives you memory, plans, files and sub-agents, which is more than most annotations manage in a career.”
smolagents
Hugging Face · Agent framework
OSSMCP
Panel
6.73 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
| Spec | Atmosphere | smolagents |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, sandbox | local, sandbox |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | YesCode execution goes through the atmosphere-sandbox SandboxProvider SPI, whose default implementation is DockerSandboxProvider. | No |
| Multi-file edits | YesAgents get six bounded, conversation-scoped filesystem tools (ls, read_file, write_file, edit_file, glob, grep) over a virtual filesystem. | No |
| Git operations | No | No |
| Browser control | NoBrowser automation and headless Chromium are explicitly listed as out of scope, to be supplied by your own stack. | Yes |
| Sandboxed execution | Yes | Yes |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | No | Yes |
| Models | ||
| Backbone | OpenAI, Anthropic, Gemini, DashScope, Ollama, any OpenAI-compatible endpoint | Hugging Face Inference providers, OpenAI, Anthropic, any LiteLLM model, Transformers, Ollama |
| Bring your own model | Yes | Yes |
| Local models | YesOllama and local OpenAI-compatible proxies are listed as supported model providers. | Yes |
| Cost | ||
| Pricing model | byok | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| GitHub stars | 3,816 | 29,638 |
Which one would each critic pick
| Critic | Atmosphere | smolagents | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 7.0 | smolagents — Pick smolagents if you want to read every line of your agent framework in an hour and run it on a local model; pick LangGraph when the job needs persistence and resumption. |
| El Crítico | 6.3 | 6.3 | no preference |
| El Profesor | 7.5 | 6.3 | Atmosphere — Every agent gets long-term memory, a written plan and six bounded filesystem tools over a virtual filesystem, which makes capability explicit and finite rather than open. |
| La Inversora | 6.0 | 6.5 | smolagents — Hugging Face gives the library away because the default model class calls its Inference providers; the framework is a funnel to a marketplace, which is a durable reason to keep maintaining it. |
| La Jefa | 7.3 | 6.3 | Atmosphere — Policy admission, human approval steps, cost ceilings and PII redaction all ship in the box, which is the list I normally have to build myself at sixty seats. |
| El Hacker | 7.8 | 8.0 | smolagents — 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.