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jcode

Rust coding-agent harness built for footprint: ~28MB per session vs 140-390MB for Codex/Claude Code, instant boot, optional local embeddings — made for running many sessions in parallel.

12,746 1,410 Rust MITupdated today
Curator's take

The RAM numbers are the whole pitch and they only matter at multiplex scale — at 10 concurrent sessions the gap vs OpenCode is 260MB against 3.2GB, and that's when you care. Single-session users won't feel it. 'The most intelligent harness' is self-published benchmarking (jcode.sh/bench) — treat it as marketing until third-party numbers exist. When NOT: if you live off one ecosystem's plugins and skills (Claude Code, Codex), the megabytes you save don't buy back the integrations you lose.

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README.md

jcode

Latest Release License: MIT Platforms Last Commit GitHub Stars Discord

The most RAM efficient harness
The most most intelligent harness

jcode memory demonstration

Website · Docs · Benchmarks · Features · Install · Quick Start · Further Reading · Contributing


Installation

# macOS & Linux
curl -fsSL https://jcode.sh/install | bash
# Windows 11 (PowerShell 5.1+)
irm https://jcode.sh/install.ps1 | iex

Need Homebrew, source builds, provider setup, or want an agent to set it up for you? Jump to detailed installation.


Performance & Resource Efficiency

jcode is built to be as performant and resource efficient as possible. Every metric is optimized to the bone, which is important for scaling multi-session workflows. Here we sample a few metrics to show the difference: RAM usage and boot up.

RAM comparison

1 active session
Tool PSS Comparison
jcode (local embedding off) 27.8 MB baseline
jcode 167.1 MB 6.0× more RAM
pi 144.4 MB 5.2× more RAM
Codex CLI 140.0 MB 5.0× more RAM
OpenCode 371.5 MB 13.4× more RAM
GitHub Copilot CLI 333.3 MB 12.0× more RAM
Cursor Agent 214.9 MB 7.7× more RAM
Claude Code 386.6 MB

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