Star History
Momentum
+61
STARS · LAST 30 DAYS
2
PER DAY
#238
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +61 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +3 | +10 |
oterm gained 61 stars in the last 30 days, about 2 a day, and now has 2.4K. It is about 3 years old and has averaged roughly 814 stars a year. It ranks #238 among Python repositories and #1,705 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#1892
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
oterm has maintained a continuous presence across global trending indexes, peaking at #1892. Below is the 30-day activity profile:
💡 Overview
oterm is an open-source project written in Python: the terminal client for LLMs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, chatbot, llm. 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 oterm
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
oterm 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 oterm.
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 oterm using your package manager: `pip install oterm`
Initialize your project workspace or configuration file for oterm.
Import oterm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `oterm --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
ggozad/oterm is currently ranked #1,705 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #1,704 | eclipse-jdtls/eclipse.jdt.ls | Java | ★ 2.4K | Compare ↗ |
| #1,705 | ggozad/oterm This Project | Python | ★ 2.4K | |
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Frequently Asked Questions
What does oterm do? +
the terminal client for LLMs
What language is oterm written in? +
The primary language is Python. Topics include: anthropic, chatbot, llm, mcp, ollama.
Is oterm actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 4 open issues being tracked.
How many stars does oterm have? +
oterm has 2,441 stars and 138 forks on GitHub.
How does oterm rank among GitHub repositories? +
With 2,441 stars, ggozad/oterm is ranked #1,705 globally across all repositories tracked on GitHubRepo and #238 among Python projects.
What license is oterm distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.