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agentscope-ai
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agentscope-ai/agentscope

Build and run agents you can see, understand and trust.

Python ◇ agent Apache-2.0
★35.3KSTARS
⑂3.8KFORKS
!693ISSUES
🏆#453GLOBAL RANK
🔥7DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

agentscope is agentscope is an open-source project written in Python: Build and run agents you can see, understand and trust..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), agentscope-ai/agentscope has accumulated 35,271 GitHub stars and 3,779 forks. It is written in Python, licensed under Apache-2.0, and ranks #453 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository agentscope-ai/agentscope ↗
Primary Category agent
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 35.3K stars · ⑂ 3.8K forks · #453 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 693 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+
✅
Is agentscope actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, agentscope is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 35,271 stars and 3,779 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (693 open).

Commit Recency
Nov 3, 2026
10 days since last push
Issue Backlog
693 Open Issues
Active Community Feedback (693 open)
Community Backing
3.8K Forks
35.3K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for agentscope-ai/agentscope
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Momentum

+882

STARS · LAST 30 DAYS

29

PER DAY

#107

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+882+2.6K
Per day12929
Forks gained+0+76+189

agentscope gained 882 stars in the last 30 days, about 29 a day, and now has 35.3K. It is about 3 years old and has averaged roughly 11.8K stars a year. It ranks #107 among Python repositories and #453 across all languages on GitHubRepo.

Trending Record

agentscope has maintained a continuous presence across global trending indexes, peaking at #7419. Below is the 30-day activity profile:

💡 Overview

agentscope is an open-source project written in Python: Build and run agents you can see, understand and trust.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, chatbot, large-language-models. 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 agentscope

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agentscope 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 agentscope.

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 agentscope using your package manager: `pip install agentscope`

2

Initialize your project workspace or configuration file for agentscope.

3

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

4

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

👍 Strengths

Active community backing with 35,271 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

agentscope-ai/agentscope is currently ranked #453 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#448 qdrant/qdrant Rust ★ 35.5K Compare ↗
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#453 agentscope-ai/agentscope This Project Python ★ 35.3K
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Frequently Asked Questions

What does agentscope do? +

Build and run agents you can see, understand and trust.

Is agentscope actively maintained in 2026? +

Yes, agentscope 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 35,271 stars and 693 open issues.

What language is agentscope written in? +

The primary language is Python. Topics include: agent, chatbot, large-language-models, llm, llm-agent.

How many stars does agentscope have? +

agentscope has 35,271 stars and 3,779 forks on GitHub.

How does agentscope rank among GitHub repositories? +

With 35,271 stars, agentscope-ai/agentscope is ranked #453 globally across all repositories tracked on GitHubRepo and #107 among Python projects.

What license is agentscope distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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