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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

  • September 19, 2026: Stars 19,260 → 19,885, latest release v0.85.0 (September 19, 2026).
  • September 7, 2026: Stars 19,190 → 19,260, latest release v0.84.0 (September 7, 2026).
  • September 6, 2026: Stars 19,126 → 19,190, latest release v0.82.0 (September 6, 2026).
  • September 5, 2026: Stars 19,081 → 19,126, latest release v0.81.7 (September 4, 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

macOS and Linux installation
curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash
Installation with Homebrew
brew tap 1jehuang/jcode
brew install jcode

Running it

First run with Ollama
ollama pull llama3.2
jcode login --provider ollama
jcode --provider ollama --model llama3.2 run 'hello'

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

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.

Related dictionary terms

Who it is forIt is for developers who want to test artificial intelligence agents used in software development processes and measure their performance.
LicenseMIT

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. This page was machine-translated from the Turkish original · the Turkish version prevails.