
OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research.
OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research.
Search AI tools, categories, and leaderboards
Command Code records 2,358,177 monthly visits with -12.1% month-over-month growth and Freemium, Contact for Pricing pricing. jcode records 18,136 monthly visits with -22.7% growth and Freemium, Contact for Pricing pricing.

Open-source Rust coding agents for your terminal, built for parallelism
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | commandcode.ai | jcode.sh |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 2.36M (2,358,177) | 18.14K (18,136) |
| MoM Traffic Delta | -325.7K (-12.1%) | -5.33K (-22.7%) |
| Primary Market & Share | 🇨🇳 China (47%) | 🇺🇸 United States (66.1%) |
| Direct Visits / mo | 1.75M | 11.87K |
| User Rating | 4.3 | 4.2 |
| Supported Platforms | Website | Website |

The coding agent that learns your coding taste
A continuous reinforcement-learning layer that turns every accept, reject and manual edit into a signal, then converts recurring patterns into reusable project-level skills.
Automatically repairs malformed tool calls so weaker open-weight models can complete agent loops reliably, levelling them up toward frontier performance.
Use an interactive CLI for pairing, a headless flag for scripting, or a background sandbox agent for longer autonomous jobs.
Custom /agents and persistent /memory carry project context across sessions so you stop re-explaining your codebase and conventions.

Open-source Rust coding agents for your terminal, built for parallelism
Each additional jcode session costs megabytes rather than hundreds of megabytes, and a new session is ready for input in well under a tenth of a second, so you can run many agents on hardware you already own.
Launch multiple agents in parallel, hand off long jobs to background or headless execution, and keep durable task state so work survives interruption.
The jcode bench suite (float-print, json-unescape, utf16-transcode) scores optimization depth on an analog axis with no capping timeouts, so capability differences stay visible.
Agents rate confidence when a task item is assigned and again when it is finished; a sudden jump triggers forced re-verification instead of blind acceptance.

OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research.
OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research.
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