Ears for coding agents: let AI hear, review and make sound. CPU-only, open source.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,406
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
earshot gained 10 stars in the last 30 days, about 1 a day, and now has 322. It is about 1 year old and has averaged roughly 322 stars a year. It ranks #1,406 among Python repositories and #10,968 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#10906
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
earshot has maintained a continuous presence across global trending indexes, peaking at #10906. Below is the 30-day activity profile:
💡 Overview
earshot is an open-source project written in Python: Ears for coding agents: let AI hear, review and make sound. CPU-only, open source.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, audio, claude-code. 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 earshot⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
earshot 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 earshot.
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 earshot using your package manager: `pip install earshot`
Initialize your project workspace or configuration file for earshot.
Import earshot into your codebase or invoke it directly from your terminal.
Execute your test suite or run `earshot --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
Leonxlnx/earshot is currently ranked #10,968 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,955 | maoyama/Changes | Swift | ★ 323 | Compare ↗ |
| #10,955 | rmsramos/activitylog | PHP | ★ 323 | Compare ↗ |
| #10,955 | apache/spark-kubernetes-operator | Java | ★ 323 | Compare ↗ |
| #10,955 | block/trailblaze | Kotlin | ★ 323 | Compare ↗ |
| #10,955 | Whispergate/InfraGuard | Python | ★ 323 | Compare ↗ |
| #10,968 | Leonxlnx/earshot This Project | Python | ★ 322 | |
| #10,968 | monome/libmonome | C | ★ 322 | Compare ↗ |
| #10,968 | cloudhead/journey | JavaScript | ★ 322 | Compare ↗ |
| #10,968 | jpmobile/jpmobile | Ruby | ★ 322 | Compare ↗ |
| #10,968 | Automattic/co-authors-plus | PHP | ★ 322 | Compare ↗ |
| #10,968 | apache/commons-beanutils | Java | ★ 322 | Compare ↗ |
Frequently Asked Questions
What does earshot do? +
Ears for coding agents: let AI hear, review and make sound. CPU-only, open source.
What language is earshot written in? +
The primary language is Python. Topics include: ai-agents, audio, claude-code, mcp, sound-design.
Is earshot actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 2 open issues being tracked.
How many stars does earshot have? +
earshot has 322 stars and 19 forks on GitHub.
How does earshot rank among GitHub repositories? +
With 322 stars, Leonxlnx/earshot is ranked #10,968 globally across all repositories tracked on GitHubRepo and #1,406 among Python projects.
What license is earshot distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
