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MCP-first AI video editor in Rust/C++. Every operation is an AI-callable tool.

Rust ◇ ai-agents MIT
★28STARS
⑂5FORKS
!1ISSUES
🏆#30,602GLOBAL RANK
🔥18DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

kimo is kimo is an open-source project written in Rust: MCP-first AI video editor in Rust/C++. Every operation is an AI-callable tool.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), naman-sharma12345/kimo has accumulated 28 GitHub stars and 5 forks. It is written in Rust, licensed under MIT, and ranks #30,602 globally. It is actively maintained with the latest commit recorded on Nov 5, 2026.”
Repository naman-sharma12345/kimo ↗
Primary Category ai agents
Language & Stack Rust
Software License MIT
Community Traction ★ 28 stars · ⑂ 5 forks · #30,602 globally
Maintenance ● Active (Last commit: Nov 5, 2026) · 1 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 90/100 · Grade A
✅
Is kimo actively maintained in 2026?
Verdict: Actively Maintained

Yes, kimo is actively maintained. Continuous telemetry recorded the last code commit on Nov 5, 2026 (8 days ago). Supported by 28 stars and 5 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 5, 2026
8 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
5 Forks
28 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for naman-sharma12345/kimo
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,518

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+2+10+90
Per day111
Forks gained+2+3+10

kimo gained 10 stars in the last 30 days, about 1 a day, and now has 28. It is about 1 year old and has averaged roughly 28 stars a year. It ranks #2,518 among Rust repositories and #30,602 across all languages on GitHubRepo.

Trending Record

kimo has maintained a continuous presence across global trending indexes, peaking at #5357. Below is the 30-day activity profile:

💡 Overview

kimo is an open-source project written in Rust: MCP-first AI video editor in Rust/C++. Every operation is an AI-callable tool.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-tools, claude. 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 kimo

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kimo 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 kimo.

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 kimo using your package manager: `cargo install kimo`

2

Initialize your project workspace or configuration file for kimo.

3

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

4

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

👍 Strengths

Active community backing with 16 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
C
ultraworkers/claw-code ★ 194.8K Rust

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Compare ↗
C

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

Compare ↗
C
farion1231/cc-switch ★ 151.2K Rust

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io

Compare ↗
C
openai/codex ★ 134.9K Rust

Lightweight coding agent that runs in your terminal

Compare ↗

👥 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

naman-sharma12345/kimo is currently ranked #30,602 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#30,444 Mars7x/echora Rust ★ 29 Compare ↗
#30,444 cachix/file-lease Rust ★ 29 Compare ↗
#30,444 Miyamoto-Renya/LaplacesScissors Rust ★ 29 Compare ↗
#30,444 aryehlev/PeerHarness Rust ★ 29 Compare ↗
#30,444 BottingRocks/Shape Rust ★ 29 Compare ↗
#30,602 naman-sharma12345/kimo This Project Rust ★ 28
#30,602 defunkt/ike Io ★ 28 Compare ↗
#30,602 timburks/nufound Objective-C ★ 28 Compare ↗
#30,602 JackDanger/dotfiles Shell ★ 28 Compare ↗
#30,602 scc/slash Perl ★ 28 Compare ↗
#30,602 jtrupiano/capistrano-extensions Ruby ★ 28 Compare ↗
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Frequently Asked Questions

What does kimo do? +

MCP-first AI video editor in Rust/C++. Every operation is an AI-callable tool.

Is kimo actively maintained in 2026? +

Yes, kimo is actively maintained. The latest code push was recorded on Nov 5, 2026 (8 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 28 stars and 1 open issues.

What language is kimo written in? +

The primary language is Rust. Topics include: ai-agents, ai-tools, claude, cli, codex.

How many stars does kimo have? +

kimo has 28 stars and 5 forks on GitHub.

How does kimo rank among GitHub repositories? +

With 28 stars, naman-sharma12345/kimo is ranked #30,602 globally across all repositories tracked on GitHubRepo and #2,518 among Rust projects.

What license is kimo distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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