Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
⚡ Executive Summary & Quick Facts
Authoritative SourceDocsGPT is DocsGPT is an open-source project written in Python: Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents..
| Repository | arc53/DocsGPT ↗ |
|---|---|
| Primary Category | agent builder |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 18.3K stars · ⑂ 2.2K forks · #797 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 111 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+458
STARS · LAST 30 DAYS
15
PER DAY
#143
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +105 | +458 | +1.4K |
| Per day | 15 | 15 | 15 |
| Forks gained | +11 | +44 | +111 |
DocsGPT gained 458 stars in the last 30 days, about 15 a day, and now has 18.3K. It is about 4 years old and has averaged roughly 4.6K stars a year. It ranks #143 among Python repositories and #797 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#4931
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DocsGPT has maintained a continuous presence across global trending indexes, peaking at #4931. Below is the 30-day activity profile:
💡 Overview
DocsGPT is an open-source project written in Python: Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-builder, agents, ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install DocsGPT⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
DocsGPT 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 DocsGPT.
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
Install DocsGPT using your package manager: `pip install DocsGPT`
Initialize your project workspace or configuration file for DocsGPT.
Import DocsGPT into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DocsGPT --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
arc53/DocsGPT is currently ranked #797 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #792 | slackhq/nebula | Go | ★ 18.4K | Compare ↗ |
| #793 | sqlc-dev/sqlc | Go | ★ 18.4K | Compare ↗ |
| #794 | dotnet/runtime | C# | ★ 18.4K | Compare ↗ |
| #795 | plotly/plotly.js | JavaScript | ★ 18.4K | Compare ↗ |
| #796 | bluesky-social/social-app | TypeScript | ★ 18.3K | Compare ↗ |
| #797 | arc53/DocsGPT This Project | Python | ★ 18.3K | |
| #798 | doitsujin/dxvk | C++ | ★ 18.3K | Compare ↗ |
| #799 | google/libphonenumber | C++ | ★ 18.3K | Compare ↗ |
| #800 | mswjs/msw | TypeScript | ★ 18.3K | Compare ↗ |
| #800 | gastownhall/gastown | Go | ★ 18.3K | Compare ↗ |
| #802 | langchain-ai/langchainjs | TypeScript | ★ 18.3K | Compare ↗ |
Frequently Asked Questions
What does DocsGPT do? +
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
What language is DocsGPT written in? +
The primary language is Python. Topics include: agent-builder, agents, ai, chatgpt, docsgpt.
Is DocsGPT actively maintained? +
Yes, the last recorded push was on Oct 19, 2026 with 111 open issues being tracked.
How many stars does DocsGPT have? +
DocsGPT has 18,323 stars and 2,211 forks on GitHub.
How does DocsGPT rank among GitHub repositories? +
With 18,323 stars, arc53/DocsGPT is ranked #797 globally across all repositories tracked on GitHubRepo and #143 among Python projects.
What license is DocsGPT distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
