Run a 105 GB AI model on a Mac that can't hold it. Slotstream streams Qwen3.8-Flash-Next (125B mixture of experts) from your SSD and caches the busiest experts in memory, so it runs on Macs with 16 to 64 GB. One native Swift binary on MLX and Metal, no Python, offline. Works with Claude Code, Codex and Ollama or OpenAI clients.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#240
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
slotstream gained 10 stars in the last 30 days, about 1 a day, and now has 402. It is about 1 year old and has averaged roughly 402 stars a year. It ranks #240 among Swift repositories and #3,963 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#1008
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
slotstream has maintained a continuous presence across global trending indexes, peaking at #1008. Below is the 30-day activity profile:
💡 Overview
slotstream is an open-source project written in Swift: Run a 105 GB AI model on a Mac that can't hold it. Slotstream streams Qwen3.8-Flash-Next (125B mixture of experts) from your SSD and caches the busiest experts in memory, so it runs on Macs with 16 to 64 GB. One native Swift binary on MLX and Metal, no Python, offline. Works with Claude Code, Codex and Ollama or OpenAI clients.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, claude-code, inference-engine. 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 Swift 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
$ git clone https://github.com/carloslfu/slotstream.git
cd slotstream⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Swift 5.9+ / Xcode 15+ (macOS/Linux)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
slotstream coordinates its core functionality through a modular Swift 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 slotstream.
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 slotstream using your package manager: `git clone https://github.com/carloslfu/slotstream.git`
Initialize your project workspace or configuration file for slotstream.
Import slotstream into your codebase or invoke it directly from your terminal.
Execute your test suite or run `slotstream --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
carloslfu/slotstream is currently ranked #3,963 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,958 | himmelblau-idm/himmelblau | Rust | ★ 404 | Compare ↗ |
| #3,958 | zhongweili/imagenie | Rust | ★ 404 | Compare ↗ |
| #3,958 | fzlzjerry/wechat-antirecall | Swift | ★ 404 | Compare ↗ |
| #3,961 | tauri-apps/tray-icon | Rust | ★ 403 | Compare ↗ |
| #3,961 | charlie12345/ROCmFPX | C++ | ★ 403 | Compare ↗ |
| #3,963 | carloslfu/slotstream This Project | Swift | ★ 402 | |
| #3,963 | simonoff/roo | Ruby | ★ 402 | Compare ↗ |
| #3,963 | spree/spree-starter | Ruby | ★ 402 | Compare ↗ |
| #3,963 | Roave/Dont | PHP | ★ 402 | Compare ↗ |
| #3,963 | phpstan/phpstan-src | PHP | ★ 402 | Compare ↗ |
| #3,968 | rampaa/JL | C# | ★ 401 | Compare ↗ |
Frequently Asked Questions
What does slotstream do? +
Run a 105 GB AI model on a Mac that can't hold it. Slotstream streams Qwen3.8-Flash-Next (125B mixture of experts) from your SSD and caches the busiest experts in memory, so it runs on Macs with 16 to 64 GB. One native Swift binary on MLX and Metal, no Python, offline. Works with Claude Code, Codex and Ollama or OpenAI clients.
What language is slotstream written in? +
The primary language is Swift. Topics include: apple-silicon, claude-code, inference-engine, llm, llm-inference.
Is slotstream actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 5 open issues being tracked.
How many stars does slotstream have? +
slotstream has 402 stars and 26 forks on GitHub.
How does slotstream rank among GitHub repositories? +
With 402 stars, carloslfu/slotstream is ranked #3,963 globally across all repositories tracked on GitHubRepo and #240 among Swift projects.
What license is slotstream distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
