akitaonrails/ai-memory
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
⚡ Executive Summary & Quick Facts
Authoritative Sourceai-memory is ai-memory is an open-source project written in Rust: Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), akitaonrails/ai-memory has accumulated 9,174 GitHub stars and 648 forks. It is written in Rust, licensed under MIT, and ranks #1,607 globally. It is actively maintained with the latest commit recorded on Oct 13, 2026.”
| Repository | akitaonrails/ai-memory ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Rust |
| Software License | MIT |
| Community Traction | ★ 9.2K stars · ⑂ 648 forks · #1,607 globally |
| Maintenance | ● Active (Last commit: Oct 13, 2026) · 9 open issues |
| 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: 92/100 · Grade AYes, ai-memory is actively maintained. Continuous telemetry recorded the last code commit on Oct 13, 2026 (17 days ago). Supported by 9,174 stars and 648 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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+229
STARS · LAST 30 DAYS
8
PER DAY
#170
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +229 | +720 |
| Per day | 1 | 8 | 8 |
| Forks gained | +0 | +13 | +32 |
ai-memory gained 229 stars in the last 30 days, about 8 a day, and now has 9.2K. It is about 1 year old and has averaged roughly 9.2K stars a year. It ranks #170 among Rust repositories and #1,607 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#4369
BEST RANK
Oct 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ai-memory has maintained a continuous presence across global trending indexes, peaking at #4369. Below is the 30-day activity profile:
💡 Overview
ai-memory is an open-source project written in Rust: Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Rust. 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 Rust 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
$ cargo install ai-memory⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ai-memory 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
Production System Integration
Embed ai-memory into Rust backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install ai-memory using your package manager: `cargo install ai-memory`
Initialize your project workspace or configuration file for ai-memory.
Import ai-memory into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ai-memory --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
akitaonrails/ai-memory is currently ranked #1,607 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,602 | modelscope/modelscope | Python | ★ 9.2K | Compare ↗ |
| #1,603 | NG-ZORRO/ng-zorro-antd | TypeScript | ★ 9.2K | Compare ↗ |
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| #1,605 | openstatusHQ/openstatus | TypeScript | ★ 9.2K | Compare ↗ |
| #1,606 | everywall/ladder | Go | ★ 9.2K | Compare ↗ |
| #1,607 | akitaonrails/ai-memory This Project | Rust | ★ 9.2K | |
| #1,608 | mrdoob/stats.js | JavaScript | ★ 9.2K | Compare ↗ |
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Frequently Asked Questions
What does ai-memory do? +
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
Is ai-memory actively maintained in 2026? +
Yes, ai-memory is actively maintained. The latest code push was recorded on Oct 13, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 9,174 stars and 9 open issues.
What language is ai-memory written in? +
The primary language is Rust. Topics include: software.
How many stars does ai-memory have? +
ai-memory has 9,174 stars and 648 forks on GitHub.
How does ai-memory rank among GitHub repositories? +
With 9,174 stars, akitaonrails/ai-memory is ranked #1,607 globally across all repositories tracked on GitHubRepo and #170 among Rust projects.
What license is ai-memory distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
