KODE SDKvssmolagents
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
KODE SDK
shareAI-lab · Agent framework
OSSMCP
Panel
6.51 spec wins
- Reliability
- 6.7
- Usefulness
- 6.2
- Cost
- 7.0
- Longevity
- 6.2
“Agents collaborate through an AgentPool and Room messaging, the first group chat where nobody is quietly reading something else.”
smolagents
Hugging Face · Agent framework
OSSMCP
Panel
6.74 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 | KODE SDK | 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 | No | No |
| Capabilities | ||
| Runs terminal commands | YesCommand execution happens inside the configured cloud sandbox. | No |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | No | Yes |
| Sandboxed execution | YesIsolated execution is provided by the E2B and OpenSandbox integrations rather than a local Docker container. | Yes |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | No | Yes |
| Models | ||
| Backbone | Anthropic, OpenAI, Gemini | Hugging Face Inference providers, OpenAI, Anthropic, any LiteLLM model, Transformers, Ollama |
| Bring your own model | YesOpenAI-compatible services such as DeepSeek, GLM, Qwen, Minimax and OpenRouter work through OpenAIProvider with a custom baseURL. | Yes |
| Local models | No | 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 | MIT | Apache-2.0 |
| GitHub stars | 401 | 29,638 |
Which one would each critic pick
| Critic | KODE SDK | smolagents | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.5 | 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 | 6.0 | 6.3 | smolagents — CodeAgent executes model-written Python, and the sandbox is opt-in, so the default path runs generated code on the machine that called it. |
| El Profesor | 7.3 | 6.3 | KODE SDK — A run is checkpointed across seven declared stages with one designated safe fork point, which turns resumption from a best-effort retry into a specified operation. |
| La Inversora | 6.3 | 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 | 5.5 | 6.3 | smolagents — 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 Hacker | 7.5 | 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.