Built something? We create video reels & spotlights for GitHub projects.Promote your project →
snape
Home / C++ / RVO2

snape/RVO2

Optimal Reciprocal Collision Avoidance (C++)

C++ ◇ collision-avoidance Apache-2.0
★967STARS
⑂283FORKS
!1ISSUES
🏆#2,675GLOBAL RANK
🔥4DAYS TRENDING
🚀
Maintainer Growth Kit for RVO2

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for snape/RVO2
CSV

Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#197

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+24+90
Per day111
Forks gained+1+6+14

RVO2 gained 24 stars in the last 30 days, about 1 a day, and now has 967. It is about 13 years old and has averaged roughly 74 stars a year. It ranks #197 among C++ repositories and #2,675 across all languages on GitHubRepo.

Trending Record

RVO2 has maintained a continuous presence across global trending indexes, peaking at #1688. Below is the 30-day activity profile:

💡 Overview

RVO2 is an open-source project written in C++: Optimal Reciprocal Collision Avoidance (C++).

Engineered for speed, consistency, and developer ease, it solves common hurdles in collision-avoidance, cpp, motion-planning. 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 C++ 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
$ git clone https://github.com/snape/RVO2.git
cd RVO2

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

RVO2 coordinates its core functionality through a modular C++ 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 RVO2.

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 RVO2 using your package manager: `git clone https://github.com/snape/RVO2.git`

2

Initialize your project workspace or configuration file for RVO2.

3

Import RVO2 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `RVO2 --help` to verify successful setup.

👍 Strengths

Active community backing with 967 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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 C++ 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

T
tensorflow/tensorflow ★ 200.6K C++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 129.8K C++

LLM inference in C/C++

Compare ↗
R
react/react-native ★ 126.8K C++

A framework for building native applications using React

Compare ↗
T
microsoft/terminal ★ 105K C++

The new Windows Terminal and the original Windows console host, all in the same place!

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

snape/RVO2 is currently ranked #2,675 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,670 activeagents/activeagent Ruby ★ 972 Compare ↗
#2,671 duckdb/duckdb-rs Rust ★ 971 Compare ↗
#2,671 solana-playground/solana-playground Rust ★ 971 Compare ↗
#2,671 kunobi-ninja/kache Rust ★ 971 Compare ↗
#2,674 rive-app/rive-wasm TypeScript ★ 970 Compare ↗
#2,675 snape/RVO2 This Project C++ ★ 967
#2,676 microsoft/vstest C# ★ 966 Compare ↗
#2,676 terrakube-io/terrakube Java ★ 966 Compare ↗
#2,676 kennss/SiliconScope Swift ★ 966 Compare ↗
#2,679 OpenGamma/Strata Java ★ 965 Compare ↗
#2,679 zeenie-ai/OpenCompany Python ★ 965 Compare ↗

Frequently Asked Questions

What does RVO2 do? +

Optimal Reciprocal Collision Avoidance (C++)

What language is RVO2 written in? +

The primary language is C++. Topics include: collision-avoidance, cpp, motion-planning, robotics, velocity-obstacles.

Is RVO2 actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1 open issues being tracked.

How many stars does RVO2 have? +

RVO2 has 967 stars and 283 forks on GitHub.

How does RVO2 rank among GitHub repositories? +

With 967 stars, snape/RVO2 is ranked #2,675 globally across all repositories tracked on GitHubRepo and #197 among C++ projects.

What license is RVO2 distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.