TencentCloud/Octop
A smarter, self-hosted AI assistant — multi-user, multi-agent.
⚡ Executive Summary & Quick Facts
Authoritative SourceOctop is Octop is an open-source project written in Python: A smarter, self-hosted AI assistant — multi-user, multi-agent..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), TencentCloud/Octop has accumulated 11,513 GitHub stars and 1,539 forks. It is written in Python, licensed under MIT, and ranks #1,458 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
| Repository | TencentCloud/Octop ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 11.5K stars · ⑂ 1.5K forks · #1,458 globally |
| Maintenance | ● Active (Last commit: Nov 3, 2026) · 789 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, Octop is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 11,513 stars and 1,539 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (789 open).
Star History
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+5.3K
STARS · LAST 30 DAYS
176
PER DAY
#244
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +5.3K | +15.8K |
| Per day | 1 | 176 | 176 |
| Forks gained | +0 | +754 | +77 |
Octop gained 5.3K stars in the last 30 days, about 176 a day, and now has 11.5K. It is about 1 year old and has averaged roughly 11.5K stars a year. It ranks #244 among Python repositories and #1,458 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#17
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Octop has maintained a continuous presence across global trending indexes, peaking at #17. Below is the 30-day activity profile:
💡 Overview
Octop is an open-source project written in Python: A smarter, self-hosted AI assistant — multi-user, multi-agent.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic-ai, 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 Octop⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Octop 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 Octop.
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 Octop using your package manager: `pip install Octop`
Initialize your project workspace or configuration file for Octop.
Import Octop into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Octop --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
TencentCloud/Octop is currently ranked #1,458 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,453 | BrasilAPI/BrasilAPI | JavaScript | ★ 11.5K | Compare ↗ |
| #1,454 | stylelint/stylelint | JavaScript | ★ 11.5K | Compare ↗ |
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| #1,455 | kornia/kornia | Python | ★ 11.5K | Compare ↗ |
| #1,457 | php/frankenphp | Go | ★ 11.5K | Compare ↗ |
| #1,458 | TencentCloud/Octop This Project | Python | ★ 11.5K | |
| #1,458 | bufbuild/buf | Go | ★ 11.5K | Compare ↗ |
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Frequently Asked Questions
What does Octop do? +
A smarter, self-hosted AI assistant — multi-user, multi-agent.
Is Octop actively maintained in 2026? +
Yes, Octop is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 11,513 stars and 789 open issues.
What language is Octop written in? +
The primary language is Python. Topics include: agent, agentic-ai, ai, ai-agent, ai-agents.
How many stars does Octop have? +
Octop has 11,513 stars and 1,539 forks on GitHub.
How does Octop rank among GitHub repositories? +
With 11,513 stars, TencentCloud/Octop is ranked #1,458 globally across all repositories tracked on GitHubRepo and #244 among Python projects.
What license is Octop distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
