High-performance framework for coding agents
Developed with the Rust language, jcode offers a framework for testing and evaluating coding-oriented artificial intelligence agents. It provides a standard infrastructure to measure the performance of agents used in software development processes.
Updates
- October 23, 2026: Stars 21,024 → 21,138, latest release v0.99.1 (October 22, 2026).
- October 19, 2026: Stars 20,827 → 21,024, latest release v0.99.0 (October 19, 2026).
- October 15, 2026: Stars 20,726 → 20,827, latest release v0.98.1 (October 15, 2026).
- October 14, 2026: Stars 20,491 → 20,726, latest release v0.96.0 (October 14, 2026).
What you get
- High resource efficiency in multi-session workflows
- Low memory usage and fast startup time
- Testing infrastructure for coding-focused artificial intelligence agents
Installation
curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bashbrew tap 1jehuang/jcode
brew install jcodeRunning it
ollama pull llama3.2
jcode login --provider ollama
jcode --provider ollama --model llama3.2 run 'hello'If you don't write code
I want to test the performance and multi-session management ability of my coding-focused AI agent. Allow me to optimize my agent's resource usage and set up a standard testing environment using the jcode framework.
Repository: https://github.com/1jehuang/jcode. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-21: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.