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apromisedland/trustworthy-agent-simulation

Auditable LLM multi-agent town simulation with AgentScope, Mesa, replay, policy experiments, and Streamlit

Python ◇ developer-tools Apache-2.0
★101STARS
⑂0FORKS
!0ISSUES
🏆#15,786GLOBAL RANK
🔥8DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,098

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+1+10+90
Per day111
Forks gained+0+3+10

trustworthy-agent-simulation gained 10 stars in the last 30 days, about 1 a day, and now has 101. It is about 1 year old and has averaged roughly 101 stars a year. It ranks #2,098 among Python repositories and #15,786 across all languages on GitHubRepo.

Trending Record

trustworthy-agent-simulation has maintained a continuous presence across global trending indexes, peaking at #12207. Below is the 30-day activity profile:

💡 Overview

trustworthy-agent-simulation is an open-source project written in Python: Auditable LLM multi-agent town simulation with AgentScope, Mesa, replay, policy experiments, and Streamlit.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 trustworthy-agent-simulation

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

trustworthy-agent-simulation 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

Production System Integration

Embed trustworthy-agent-simulation into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install trustworthy-agent-simulation using your package manager: `pip install trustworthy-agent-simulation`

2

Initialize your project workspace or configuration file for trustworthy-agent-simulation.

3

Import trustworthy-agent-simulation into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `trustworthy-agent-simulation --help` to verify successful setup.

👍 Strengths

Active community backing with 101 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.

⇄ Alternatives & Direct Competitors

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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

apromisedland/trustworthy-agent-simulation is currently ranked #15,786 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,724 KZCFG/AILSA-SubSwitch Swift ★ 102 Compare ↗
#15,724 heymi/aldus-palace TypeScript ★ 102 Compare ↗
#15,724 heranliu/AlphaResearchOS Python ★ 102 Compare ↗
#15,724 gongdear/cline-pilot Python ★ 102 Compare ↗
#15,724 Tobi1chi/OpenRayneo Swift ★ 102 Compare ↗
#15,786 apromisedland/trustworthy-agent-simulation This Project Python ★ 101
#15,786 basecamp/cached_externals Ruby ★ 101 Compare ↗
#15,786 jlong/radius Ruby ★ 101 Compare ↗
#15,786 romanbsd/fast-stemmer Ruby ★ 101 Compare ↗
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Frequently Asked Questions

What does trustworthy-agent-simulation do? +

Auditable LLM multi-agent town simulation with AgentScope, Mesa, replay, policy experiments, and Streamlit

What language is trustworthy-agent-simulation written in? +

The primary language is Python. Topics include: software.

Is trustworthy-agent-simulation actively maintained? +

Yes, the last recorded push was on Sep 29, 2026 with 0 open issues being tracked.

How many stars does trustworthy-agent-simulation have? +

trustworthy-agent-simulation has 101 stars and 0 forks on GitHub.

How does trustworthy-agent-simulation rank among GitHub repositories? +

With 101 stars, apromisedland/trustworthy-agent-simulation is ranked #15,786 globally across all repositories tracked on GitHubRepo and #2,098 among Python projects.

What license is trustworthy-agent-simulation distributed under? +

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

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