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aouicher/graphmind

Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.

Rust ◇ ai MIT
★213STARS
⑂20FORKS
!9ISSUES
🏆#12,446GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,192

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

graphmind gained 10 stars in the last 30 days, about 1 a day, and now has 213. It is about 1 year old and has averaged roughly 213 stars a year. It ranks #1,192 among Rust repositories and #12,446 across all languages on GitHubRepo.

Trending Record

graphmind has maintained a continuous presence across global trending indexes, peaking at #11970. Below is the 30-day activity profile:

💡 Overview

graphmind is an open-source project written in Rust: Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agent, ai-assistant. 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 graphmind

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

graphmind 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 graphmind.

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 graphmind using your package manager: `cargo install graphmind`

2

Initialize your project workspace or configuration file for graphmind.

3

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

4

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

👍 Strengths

Active community backing with 213 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

💡
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👥 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

aouicher/graphmind is currently ranked #12,446 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,423 craigmccaskill/posthorn Go ★ 214 Compare ↗
#12,423 llamastash/llamastash Rust ★ 214 Compare ↗
#12,423 yan-labs/yan-skills JavaScript ★ 214 Compare ↗
#12,423 akha-security/akca Go ★ 214 Compare ↗
#12,423 caigee-cmd/cli2api Go ★ 214 Compare ↗
#12,446 aouicher/graphmind This Project Rust ★ 213
#12,446 jamesgolick/is_taggable Ruby ★ 213 Compare ↗
#12,446 fcoury/octopi Ruby ★ 213 Compare ↗
#12,446 face/MongooseDaemon C ★ 213 Compare ↗
#12,446 imbcmdth/RTree JavaScript ★ 213 Compare ↗
#12,446 jgraichen/rails-timeago Ruby ★ 213 Compare ↗
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Frequently Asked Questions

What does graphmind do? +

Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.

What language is graphmind written in? +

The primary language is Rust. Topics include: ai, ai-agent, ai-assistant, chatgpt, claude.

Is graphmind actively maintained? +

Yes, the last recorded push was on Oct 15, 2026 with 9 open issues being tracked.

How many stars does graphmind have? +

graphmind has 213 stars and 20 forks on GitHub.

How does graphmind rank among GitHub repositories? +

With 213 stars, aouicher/graphmind is ranked #12,446 globally across all repositories tracked on GitHubRepo and #1,192 among Rust projects.

What license is graphmind distributed under? +

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

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