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HKUDS/DeepCode

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

Python ◇ agentic-coding MIT
★16.7KSTARS
⑂2.2KFORKS
!17ISSUES
🏆#498GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for HKUDS/DeepCode
CSV

Momentum

+416

STARS · LAST 30 DAYS

14

PER DAY

#94

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+98+416+1.3K
Per day141414
Forks gained+11+43+108

DeepCode gained 416 stars in the last 30 days, about 14 a day, and now has 16.7K. It is about 1 year old and has averaged roughly 16.7K stars a year. It ranks #94 among Python repositories and #498 across all languages on GitHubRepo.

Trending Record

DeepCode has maintained a continuous presence across global trending indexes, peaking at #1381. Below is the 30-day activity profile:

💡 Overview

DeepCode is an open-source project written in Python: "DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)".

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-coding, harness-engineering, llm-agent. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install DeepCode

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

DeepCode coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with DeepCode.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install DeepCode using your package manager: `pip install DeepCode`

2

Initialize your project workspace or configuration file for DeepCode.

3

Import DeepCode into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `DeepCode --help` to verify successful setup.

👍 Strengths

Active community backing with 16,655 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

HKUDS/DeepCode is currently ranked #498 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#493 prestodb/presto Java ★ 16.7K Compare ↗
#494 hyperledger/fabric Go ★ 16.7K Compare ↗
#495 apple/foundationdb C++ ★ 16.7K Compare ↗
#496 coder/coder Go ★ 16.7K Compare ↗
#497 kubernetes/kops Go ★ 16.7K Compare ↗
#498 HKUDS/DeepCode This Project Python ★ 16.7K
#499 Sonarr/Sonarr C# ★ 16.6K Compare ↗
#500 briannesbitt/Carbon PHP ★ 16.6K Compare ↗
#501 googleapis/mcp-toolbox Go ★ 16.5K Compare ↗
#502 pqina/filepond JavaScript ★ 16.4K Compare ↗
#503 earthtojake/text-to-cad Python ★ 16.4K Compare ↗

Frequently Asked Questions

What does DeepCode do? +

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

What language is DeepCode written in? +

The primary language is Python. Topics include: agentic-coding, harness-engineering, llm-agent.

Is DeepCode actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 17 open issues being tracked.

How many stars does DeepCode have? +

DeepCode has 16,655 stars and 2,164 forks on GitHub.

How does DeepCode rank among GitHub repositories? +

With 16,655 stars, HKUDS/DeepCode is ranked #498 globally across all repositories tracked on GitHubRepo and #94 among Python projects.

What license is DeepCode distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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