The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
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+20
STARS · LAST 30 DAYS
1
PER DAY
#497
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +20 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
moss gained 20 stars in the last 30 days, about 1 a day, and now has 790. It is about 1 year old and has averaged roughly 790 stars a year. It ranks #497 among Python repositories and #3,797 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#3612
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
moss has maintained a continuous presence across global trending indexes, peaking at #3612. Below is the 30-day activity profile:
💡 Overview
moss is an open-source project written in Python: The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-infra, hybrid-search. 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 moss⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
moss 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 moss.
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 moss using your package manager: `pip install moss`
Initialize your project workspace or configuration file for moss.
Import moss into your codebase or invoke it directly from your terminal.
Execute your test suite or run `moss --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
usemoss/moss is currently ranked #3,797 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,792 | apache/wicket | Java | ★ 795 | Compare ↗ |
| #3,793 | Kizzuwatnaa/DLSS5-Autopilot | Python | ★ 794 | Compare ↗ |
| #3,794 | GrafeoDB/grafeo | Rust | ★ 793 | Compare ↗ |
| #3,795 | sbroenne/mcp-server-excel | C# | ★ 791 | Compare ↗ |
| #3,795 | marcocesarato/PHP-Antimalware-Scanner | PHP | ★ 791 | Compare ↗ |
| #3,797 | usemoss/moss This Project | Python | ★ 790 | |
| #3,797 | exch-bms2/beatoraja | Java | ★ 790 | Compare ↗ |
| #3,797 | Grashjs/cmms | TypeScript | ★ 790 | Compare ↗ |
| #3,797 | getomnico/omni | Rust | ★ 790 | Compare ↗ |
| #3,801 | nodebox/nodebox | Java | ★ 789 | Compare ↗ |
| #3,801 | canonical/mir | C++ | ★ 789 | Compare ↗ |
Frequently Asked Questions
What does moss do? +
The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
What language is moss written in? +
The primary language is Python. Topics include: ai-agents, ai-infra, hybrid-search, rag, real-time.
Is moss actively maintained? +
Yes, the last recorded push was on Sep 29, 2026 with 129 open issues being tracked.
How many stars does moss have? +
moss has 790 stars and 101 forks on GitHub.
How does moss rank among GitHub repositories? +
With 790 stars, usemoss/moss is ranked #3,797 globally across all repositories tracked on GitHubRepo and #497 among Python projects.
What license is moss distributed under? +
The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.
