deepseek-ai/deepseek-harness
DeepSeek Harness (dsh) is an open-source agent harness from DeepSeek AI built on an everything-is-a-plugin architecture over the Cordis framework, started from npm with a local web UI.
Awesome AI Agents › AI Developer Tools
QwenLM/qwen-code
Qwen Code is a command line coding agent published by the Qwen team and distributed through npm, Homebrew or a standalone installer script. It runs as an interactive terminal UI with rich rendering, at-file references and slash commands, and also in a headless mode driven by a single prompt flag for scripts, CI pipelines and batch processing. The README describes agentic features enabled without extra setup: automatic memory, automatic skills, subagents, agent teams, dynamic workflows, hooks and Model Context Protocol support, plus built-in skills such as review, batch, loop and bugfix. The agent is multi-protocol and speaks the OpenAI, Anthropic, Gemini and Qwen API formats, so it can be pointed at third-party providers or at local runtimes such as Ollama and vLLM, and the provider can be switched at runtime through the auth command inside a session. Beyond the terminal, the project ships IDE integrations for VS Code, Zed and JetBrains, a desktop GUI application for macOS, Windows and Linux, a daemon mode that exposes a shared agent session over HTTP and server-sent events using the ACP protocol so several clients can attach to one agent, and instant messaging bridges for Telegram, DingTalk, WeChat and Feishu. SDKs are provided for TypeScript, Python and Java, allowing the agent to be queried programmatically from other applications and to stream result messages back to the caller. The maintainers position the tool as an open alternative to closed coding agents, noting that both the framework and the underlying Qwen models are open source, and they publish a feature comparison against Claude Code. It targets developers who want a terminal-centric coding assistant that is not tied to a single model vendor and that can be embedded into automation.
https://github.com/QwenLM/qwen-code
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