NanocodexvsStirrup
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Nanocodex
gakonst · Agent framework
OSS
Panel
6.82 spec wins
- Reliability
- 7.0
- Usefulness
- 6.3
- Cost
- 8.3
- Longevity
- 5.7
“It cleans up shell sessions orphaned by a cancelled turn, a feature that exists because somebody found out the hard way.”
Stirrup
Artificial Analysis · Agent framework
OSSMCP
Panel
6.85 spec wins
- Reliability
- 6.7
- Usefulness
- 6.5
- Cost
- 8.2
- Longevity
- 6.0
“The Python framework has a TypeScript twin called StirrupJS, because no agent library is allowed to exist in only one language.”
Spec by spec
| Spec | Nanocodex | Stirrup |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, sandbox | local, sandbox |
| Platforms | macos, linux, web | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | Yes |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | Yes | Yes |
| Git operations | No | No |
| Browser control | No | YesA browser extra adds online search and web-page fetching, not general browser automation. |
| Sandboxed execution | YesSandboxes are listed among the consumers that exercise the same agent contract, alongside durable actors and the evaluation harness. | YesCode execution runs locally, in Docker or in an E2B sandbox, selected through optional install extras. |
| Multi-agent orchestration | Yes | No |
| Headless / CI mode | Yes | No |
| Models | ||
| Backbone | OpenAI Responses API | any OpenAI-compatible API, LiteLLM, OpenRouter |
| Bring your own model | NoThe README states this is not a provider abstraction; it supports one OpenAI coding-agent stack deliberately. | Yes |
| Local models | No | YesAny OpenAI-compatible base URL is supported, and LiteLLM adds routing to local runtimes. |
| 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 OR Apache-2.0 | MIT |
| GitHub stars | 540 | 642 |
Which one would each critic pick
| Critic | Nanocodex | Stirrup | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.3 | 7.3 | no preference |
| El Crítico | 6.5 | 6.8 | Stirrup — Code execution runs locally by default, with Docker and E2B available through optional install extras, so the safe modes are the ones you have to remember to choose. |
| El Profesor | 7.3 | 6.5 | Nanocodex — Turn state, compaction, steering and reconnect replay live in a machine separate from transport, so partial responses and cancelled turns have defined behaviour. |
| La Inversora | 6.3 | 6.8 | Stirrup — Artificial Analysis sells independent model comparison, and this framework, at 578 stars, is a distribution asset for that business rather than a product with a price. |
| La Jefa | 6.0 | 5.8 | Nanocodex — There is no seat to buy and no console to open for sixty engineers, so this becomes a service my team builds, operates and carries the pager for. |
| El Hacker | 7.8 | 8.0 | Stirrup — MIT on PyPI, an MCP client, and LiteLLM or any OpenAI-compatible base URL, so pointing it at the model server on my own network is a configuration line. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.