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harbor-framework/terminal-bench-science

Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains

Python ◇ agentic-ai Apache-2.0
★854STARS
⑂532FORKS
!588ISSUES
🏆#9,411GLOBAL RANK
🔥4DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

terminal-bench-science is terminal-bench-science is an open-source project written in Python: Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), harbor-framework/terminal-bench-science has accumulated 854 GitHub stars and 532 forks. It is written in Python, licensed under Apache-2.0, and ranks #9,411 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository harbor-framework/terminal-bench-science ↗
Primary Category agentic ai
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 854 stars · ⑂ 532 forks · #9,411 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 588 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: 92/100 · Grade A
✅
Is terminal-bench-science actively maintained in 2026?
Verdict: Actively Maintained

Yes, terminal-bench-science is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 854 stars and 532 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (588 open).

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
588 Open Issues
Active Community Feedback (588 open)
Community Backing
532 Forks
854 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for harbor-framework/terminal-bench-science
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Momentum

+21

STARS · LAST 30 DAYS

1

PER DAY

#1,362

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+21+90
Per day111
Forks gained+3+11+27

terminal-bench-science gained 21 stars in the last 30 days, about 1 a day, and now has 854. It is about 1 year old and has averaged roughly 854 stars a year. It ranks #1,362 among Python repositories and #9,411 across all languages on GitHubRepo.

Trending Record

terminal-bench-science has maintained a continuous presence across global trending indexes, peaking at #12592. Below is the 30-day activity profile:

💡 Overview

terminal-bench-science is an open-source project written in Python: Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ai, ai-for-science, ai4science. 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 terminal-bench-science

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

terminal-bench-science 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 terminal-bench-science.

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 terminal-bench-science using your package manager: `pip install terminal-bench-science`

2

Initialize your project workspace or configuration file for terminal-bench-science.

3

Import terminal-bench-science into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `terminal-bench-science --help` to verify successful setup.

👍 Strengths

Active community backing with 854 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

harbor-framework/terminal-bench-science is currently ranked #9,411 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does terminal-bench-science do? +

Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains

Is terminal-bench-science actively maintained in 2026? +

Yes, terminal-bench-science is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 854 stars and 588 open issues.

What language is terminal-bench-science written in? +

The primary language is Python. Topics include: agentic-ai, ai-for-science, ai4science.

How many stars does terminal-bench-science have? +

terminal-bench-science has 854 stars and 532 forks on GitHub.

How does terminal-bench-science rank among GitHub repositories? +

With 854 stars, harbor-framework/terminal-bench-science is ranked #9,411 globally across all repositories tracked on GitHubRepo and #1,362 among Python projects.

What license is terminal-bench-science distributed under? +

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

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