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AnalyseDeCircuit
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AnalyseDeCircuit/oxideterm

AI-native workspace for local shells and remote machines.Zero Webview, zero OpenSSL, zero telemetry, and no app subscription.

Rust ◇ agent GPL-3.0
★1.6KSTARS
⑂124FORKS
!33ISSUES
🏆#3,853GLOBAL RANK
🔥10DAYS TRENDING
🚀
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Momentum

+40

STARS · LAST 30 DAYS

1

PER DAY

#361

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+13+40+90
Per day211
Forks gained+1+3+10

oxideterm gained 40 stars in the last 30 days, about 1 a day, and now has 1.6K. It is about 1 year old and has averaged roughly 1.6K stars a year. It ranks #361 among Rust repositories and #3,853 across all languages on GitHubRepo.

Trending Record

oxideterm has maintained a continuous presence across global trending indexes, peaking at #923. Below is the 30-day activity profile:

💡 Overview

oxideterm is an open-source project written in Rust: AI-native workspace for local shells and remote machines.Zero Webview, zero OpenSSL, zero telemetry, and no app subscription.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai-terminal, bring-your-own-key. 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 Rust 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
$ cargo install oxideterm

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

oxideterm coordinates its core functionality through a modular Rust 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 oxideterm.

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 oxideterm using your package manager: `cargo install oxideterm`

2

Initialize your project workspace or configuration file for oxideterm.

3

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

4

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

👍 Strengths

Active community backing with 1,603 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Rust 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 Rust 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 Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

AnalyseDeCircuit/oxideterm is currently ranked #3,853 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,848 Try/OpenGothic C++ ★ 1.6K Compare ↗
#3,849 achimala/dream-loop JavaScript ★ 1.6K Compare ↗
#3,850 sporkmonger/addressable Ruby ★ 1.6K Compare ↗
#3,851 prebid/Prebid.js JavaScript ★ 1.6K Compare ↗
#3,852 vitorpamplona/amethyst Kotlin ★ 1.6K Compare ↗
#3,853 AnalyseDeCircuit/oxideterm This Project Rust ★ 1.6K
#3,854 chriskite/anemone Ruby ★ 1.6K Compare ↗
#3,855 xodus-gaming/xodus Rust ★ 1.6K Compare ↗
#3,856 simulationcraft/simc C++ ★ 1.6K Compare ↗
#3,857 dbos-inc/dbos-transact-py Python ★ 1.6K Compare ↗
#3,858 mongomapper/mongomapper Ruby ★ 1.6K Compare ↗

Frequently Asked Questions

What does oxideterm do? +

AI-native workspace for local shells and remote machines.Zero Webview, zero OpenSSL, zero telemetry, and no app subscription.

What language is oxideterm written in? +

The primary language is Rust. Topics include: agent, ai-terminal, bring-your-own-key, devtools, filemanager.

Is oxideterm actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 33 open issues being tracked.

How many stars does oxideterm have? +

oxideterm has 1,603 stars and 124 forks on GitHub.

How does oxideterm rank among GitHub repositories? +

With 1,603 stars, AnalyseDeCircuit/oxideterm is ranked #3,853 globally across all repositories tracked on GitHubRepo and #361 among Rust projects.

What license is oxideterm distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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