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
ai-christianson/RA.Aid
RA.Aid is an autonomous software development tool designed to assist developers by automating complex, multi-step programming tasks. It operates as a standalone coding agent built on LangGraph's agent-based task execution framework, providing an intelligent assistant capable of research, planning, and implementation phases for software development. The tool can optionally integrate with the aider tool to enhance code editing capabilities. RA.Aid's core strength lies in its three-stage architecture: Research, Planning, and Implementation. During the Research phase, it analyzes codebases and gathers necessary context. The Planning phase breaks down complex tasks into manageable, actionable steps, and the Implementation phase executes these steps sequentially. This structured approach allows RA.Aid to handle sophisticated programming challenges such as architectural analysis, multi-file code changes, detailed code explanations, and advanced refactoring. The tool supports automated shell command execution, which increases its power but requires users to review changes carefully. It also leverages expert reasoning models like OpenAI's o1 for complex debugging and planning tasks and integrates web research capabilities through the Tavily API to gather real-world context. RA.Aid is built on LangChain and uses the latest large language models (LLMs) for natural language understanding and generation. It features a human-in-the-loop mode for interactive task execution, allowing the agent to ask questions to ensure accuracy. RA.Aid offers a comprehensive toolset including shell command execution, expert querying, file operations, memory management, research and planning tools, and code analysis. It has an interactive command-line interface and modular Python package design with Git integration for repository management. Installation is supported across Windows, Unix/Linux, and macOS platforms, with detailed setup instructions and API key requirements for various AI services. The project is in beta status and encourages community contributions and feedback.
https://github.com/ai-christianson/RA.Aid
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