jcode

Active
GitHub Rust MIT

Description

A next-generation coding-agent harness built for multi-session workflows, with a focus on extreme performance, low memory, and deep MCP/tool customization.

Key Features

  • Extreme footprint - 27.8 MB per single session and 117 MB for 10 sessions, 5-15x lighter than peers
  • Sub-millisecond startup - 14 ms to first frame and 49 ms to first input, 200x+ faster than Claude Code
  • Multi-session swarm - coordinates multiple agents in the same repo with conflict detection and broadcast messaging
  • Semantic memory graph - embeds turns into a vector graph, retrieves relevant context, and consolidates periodically
  • Rich provider support - built-in login flows for Claude, OpenAI, Gemini, Copilot, Ollama, LM Studio
  • MCP and OpenAI-compatible endpoints - plug self-hosted or third-party APIs via config files

Use Cases

💡 Replace Claude Code or OpenCode when running long-running or parallel sessions with tight memory budgets
💡 Run multiple agents that coordinate on large refactors, test authoring, and code review
💡 Drive end-to-end coding - implement, test, debug - from a single natural-language prompt
💡 Plug your team's MCP tools and OpenAI-compatible LLMs into jcode
💡 Stay in the terminal from prototype through debugging and git commit

Tags

coding-agent rust terminal mcp harness

Categories

💻 Coding Agent

Quick Start

# macOS / Linux one-liner install
curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash
# Sign in with a Claude subscription
jcode login --provider claude
# Or sign in with OpenAI
jcode login --provider openai
# Launch a 3-agent swarm
jcode swarm 3
Visit GitHub

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