QwenLM/qwen-code Alternatives

choose for a lightweight Rust terminal agent with native OpenAI Codex support and Apache-2.0.

Lightweight coding agent that runs in your terminal

choose for a MIT-licensed TypeScript agent CLI that also exposes a toolkit to customize the loop.

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

choose for a Rust coding agent optimized for open models like Kimi K3; Apache-2.0.

A coding agent for open models like Kimi K3

choose for a coding agent that runs as CLI, SDK, or IDE extension — more flexible than Qwen Code's terminal-only focus.

Autonomous coding agent as an SDK, IDE extension, or CLI assistant.

choose if you want a terminal agent with the IDE deeply wired in; MIT-licensed TypeScript.

⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

choose for a Python CLI agent from Moonshot AI; Apache-2.0, good if you use Kimi models.

Kimi Code CLI is your next CLI agent.

choose for a TypeScript/MIT implementation of a next-gen agent CLI with very low setup.

Kimi Code CLI — The Starting Point for Next-Gen Agents

choose for an enterprise-oriented agent with strict quality gates, code review, and completion; Apache-2.0.

Costrict - strict AI coder for enterprises, quality first, including AI Agent, AI CodeReview, AI Completion.

choose for a minimal zero-config Go agent that keeps context pure with ephemeral subagents.

AI agent for long-horizon coding with local and cloud models. Built on empirical research.

choose for a tiny 14MB Rust agent with Claude Code plugin support and dynamic workflows.

14MB ACP-Rust Agent, Claude Code Plugin compatible, Dynamic Workflow, Goal, Artifacts, Free Web Search, full feature and better support!

choose for a highly extensible, MIT-licensed coding agent with a large community and plugin ecosystem.

The open source coding agent.

choose for a community-driven Rust terminal agent under MIT, with constant improvement.

Open-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome.

choose for a Go agent engineered for DeepSeek-native prefix-cache stability; good for long-running sessions.

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

choose for a Rust TUI from xAI with a fullscreen mouse-interactive interface and extensibility.

SpaceXAI's coding agent harness and TUI. Fullscreen, mouse interactive, extensible.

choose for a Rust harness that is extremely RAM-efficient; suitable for resource-limited environments.

The most RAM efficient harness

choose for a simple open-source TypeScript agent that is MIT-licensed and easy to get running.

TalkCody - Code is cheap, show me your talk. 🚀 Free Open Source AI Coding Agent.

choose for a model-agnostic agent that runs anywhere and can use any provider; TypeScript.

runs anywhere. uses anything

choose for an all-in-one agentic platform that includes a terminal coding agent plus engineering tooling; MIT.

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.

choose for a TypeScript terminal agent that natively speaks OpenAI, Gemini, and Claude in parallel.

Agentic coding in your terminal,Simultaneously compatible with OpenAI, Gemini, and Claude.运行在终端的 AI 编程智能体，同时兼容 Deepseek、OpenAI、Gemini和Claude。

choose for a minimal command-line coding AI; evaluate maturity as the repo provides little context.

Command Code AI — the best coding agent for open models.

choose if you prefer an IDE-embedded assistant to a terminal agent; better for editor-centric workflows.

open-source coding agent

choose if you want to build your own agent harness in Python with multi-agent orchestration, not a ready-made CLI.

"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"

choose if you use JetBrains and want an assistant embedded in that IDE; note it has not been updated in 11 months.

Sweep: AI coding assistant for JetBrains

choose if you live in Neovim and want an AI tag agent integrated into your editor; Lua plugin.

✨ AI Coding, Vim Style

choose for a reference implementation of a meta harness for research or custom agent building in Python.

Meta Harness Implementation