Releases: HKUDS/DeepCode
Release list
v1.3.0
DeepCode v1.3.0 完成了 V2 架构升级，将 DeepCode 扩展为更统一、安全且可扩展的通用智能编程代理。
- 统一 CLI、Web 与 Headless 模式的 Agent 内核和事件协议，同时保留原有 Paper2Code 工作流。
- 新增交互式 CLI、原生编程工具、持久化 Session、项目记忆与长对话上下文管理。
- 引入权限控制、安全沙箱、工具审批及工作区隔离机制。
- 支持自主循环、定时任务、并行团队与模型驱动的子代理协作。
- 支持 Skills、生命周期 Hooks、分层配置，以及在任意目录中启动和恢复 DeepCode。
DeepCode v1.3.0 delivers the V2 architecture upgrade, evolving DeepCode into a more unified, secure, and extensible general-purpose coding agent.
- Unified the agent runtime and event protocol across CLI, Web, and headless modes while preserving the existing Paper2Code workflow.
- Added an interactive CLI, native coding tools, persistent sessions, project memory, and long-context management.
- Introduced permission controls, security sandboxing, tool approvals, and workspace isolation.
- Added autonomous loops, scheduled tasks, parallel teams, and model-driven subagent collaboration.
- Added Skills, lifecycle Hooks, layered configuration, and support for launching and resuming DeepCode from any directory.
v1.2.0
本次更新主要包括：
DeepCode + nanobot 集成：支持通过 飞书机器人 调用 DeepCode，在聊天中发起论文转代码、对话转代码和任务进度查询，并新增飞书实战截图示例。
文档重构：全面更新 README.md 与 README_ZH.md，优化 Quick Start 结构，新增 nanobot 集成（飞书聊天机器人） 专章，并提供从配置到部署的一站式教程。
此版本重点提升了“在聊天软件中用 DeepCode 写代码”的体验，方便团队在日常协作中直接使用 AI 编程能力。
This release focuses on better chat-based usage and documentation:
DeepCode + nanobot integration: You can now use DeepCode directly from a Feishu bot, including paper-to-code, chat-to-code, and task status queries, with new real-world Feishu screenshots in the docs.
Docs overhaul: Both README.md and README_ZH.md have been updated with a cleaner Quick Start, and a dedicated nanobot Integration (Feishu Chatbot) section that walks you through configuration and deployment end-to-end.
This version makes it much easier to use DeepCode as a coding assistant directly inside your team’s chat workflow.
v1.1.0
DeepCode v1.1.0 重磅更新！新增 Docker 容器化支持，一键部署，开箱即用。让代码分析更简单，部署更便捷！
DeepCode v1.1.0 Major Update! Now with Docker containerization support - one-click deployment, ready to use out of the box. Making code analysis simpler and deployment easier!
v1.0.9
DeepCode v1.09 - New UI Update
The new React-based web interface is now available with these improvements:
Interactive workflow - AI can ask follow-up questions during code generation
Streamlined interface - Questions appear directly in the chat for better visibility
Cross-platform - Works on Windows, macOS, and Linux with deepcode command
Better stability - Improved process handling and automatic port management
Run deepcode to try the new interface, or use deepcode --classic for the previous version.
DeepCode v1.09 - 新 UI 更新
基于 React 的新版 Web 界面现已可用，主要改进包括：
交互式工作流 - AI 可以在代码生成过程中提出后续问题
简化的界面 - 问题直接显示在对话中，更易于查看
跨平台支持 - 使用 deepcode 命令在 Windows、macOS 和 Linux 上运行
更好的稳定性 - 改进的进程处理和自动端口管理
运行 deepcode 体验新界面，或使用 deepcode --classic 使用旧版本。
v1.0.8
Support for Google Gemini official API:
DeepCode now supports configuration of Google’s official Gemini API, including full support for Gemini‑3‑pro.
支持 Google Gemini 官方 API
已支持配置 Google Gemini 大模型的官方 API，并完成对 Gemini‑3‑pro 的适配与使用。
v1.0.7
New Version:
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We have updated DeepCode’s overall workflow and fixed several issues and bugs previously reported by users.
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We have improved the robustness of the system and introduced targeted optimizations for models with relatively weaker coding capabilities.
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Our currently recommended most stable and high‑quality large language models include: Claude 3.5 and above, GPT‑4o and above, and Gemini‑pro.
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We will continue to iterate, further refining the workflow and robustness, and adapting the system for stable operation across multiple model families.
Future roadmap: -
DeepCode will release related technical reports.
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We will launch automated code verification and execution features.
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We will keep iterating and advancing the system through continuous technological innovation and adoption.
新版本：
- 我们已对 DeepCode 的整体 workflow 进行了更新，修复了此前大家反馈的一些问题和 Bug。
- 提升了模型的鲁棒性，并针对部分代码能力相对较弱的模型进行了专项优化。
- 当前推荐使用的最稳定且高质量的大语言模型包括：Claude 3.5 及以上版本、GPT‑4o 及以上版本，以及 Gemini‑pro。
- 我们将持续迭代，进一步优化 workflow 与鲁棒性，并针对多种模型进行稳定性适配。
未来规划：
- DeepCode 将发布相关技术报告；
- 上线代码自动化验证与执行功能；
- 持续迭代升级，引入和落地更多前沿技术。
Full Changelog: v1.0.6...v1.0.7
v1.0.6
v1.0.5
Got a brilliant idea in mind but don’t know where to start? It’s time to let the Agent become your product manager!
DeepCode Major Update!
We are introducing a brand-new personalized requirements customization feature.
It’s a new interactive feature that turns vague ideas into actionable development plans. Instead of requiring you to provide detailed specifications up front, DeepCode’s Agent will:
- Ask clarifying questions about your idea.
- Break down abstract requirements into concrete functional specifications.
- Continuously refine and optimize the plan based on your additional input.
- Adapt dynamically until the final plan matches exactly what you need.
From a single sentence to a complete project blueprint—experience the magic of co-creating with AI right now!
This update also brings a brand-new UI with a smoother and more intuitive experience. Coming soon, we’ll add powerful features like automated testing and performance dashboards.
But this is just the beginning. Our roadmap includes even more exciting features:
Automated Verification and Optimization Agents: automated testing, sandbox verification, and a more comprehensive coding experience.
Benchmark Dashboards: detailed performance metrics on the PaperBench evaluation suite to stay transparent and ahead.
System-Wide Optimizations: stronger reasoning and broader multi-language framework support.
We are building the future of software development—stay tuned!
Try it now: https://github.com/HKUDS/DeepCode
Full Changelog: v1.0.4...v1.0.5