mnemosyne-oss/mnemosyne
Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemnemosyne is mnemosyne is an open-source project written in Python: Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), mnemosyne-oss/mnemosyne has accumulated 3,563 GitHub stars and 315 forks. It is written in Python, licensed under MIT, and ranks #3,342 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
| Repository | mnemosyne-oss/mnemosyne ↗ |
|---|---|
| Primary Category | agents |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 3.6K stars · ⑂ 315 forks · #3,342 globally |
| Maintenance | ● Active (Last commit: Oct 31, 2026) · 171 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, mnemosyne is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (1 days ago). Supported by 3,563 stars and 315 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mnemosyne-oss/mnemosyne?utm_source=readme_badge)Momentum
+89
STARS · LAST 30 DAYS
3
PER DAY
#493
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +89 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +2 | +6 | +16 |
mnemosyne gained 89 stars in the last 30 days, about 3 a day, and now has 3.6K. It is about 1 year old and has averaged roughly 3.6K stars a year. It ranks #493 among Python repositories and #3,342 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#7758
BEST RANK
Oct 31, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mnemosyne has maintained a continuous presence across global trending indexes, peaking at #7758. Below is the 30-day activity profile:
💡 Overview
mnemosyne is an open-source project written in Python: Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, hermes. 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 mnemosyne⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mnemosyne 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 mnemosyne.
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 mnemosyne using your package manager: `pip install mnemosyne`
Initialize your project workspace or configuration file for mnemosyne.
Import mnemosyne into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mnemosyne --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
mnemosyne-oss/mnemosyne is currently ranked #3,342 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,337 | ViewComponent/view_component | Ruby | ★ 3.6K | Compare ↗ |
| #3,338 | NVIDIA/TransformerEngine | Python | ★ 3.6K | Compare ↗ |
| #3,339 | Shubham0812/SwiftUI-Animations | Swift | ★ 3.6K | Compare ↗ |
| #3,340 | alecthomas/kingpin | Go | ★ 3.6K | Compare ↗ |
| #3,341 | symfony/framework-bundle | PHP | ★ 3.6K | Compare ↗ |
| #3,342 | mnemosyne-oss/mnemosyne This Project | Python | ★ 3.6K | |
| #3,343 | denoland/std | TypeScript | ★ 3.6K | Compare ↗ |
| #3,344 | model-checking/kani | Rust | ★ 3.6K | Compare ↗ |
| #3,345 | unitycatalog/unitycatalog | Java | ★ 3.6K | Compare ↗ |
| #3,346 | p-ranav/argparse | C++ | ★ 3.6K | Compare ↗ |
| #3,346 | arnegiacomo/fugleramme | Python | ★ 3.6K | Compare ↗ |
Frequently Asked Questions
What does mnemosyne do? +
Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency.
Is mnemosyne actively maintained in 2026? +
Yes, mnemosyne is actively maintained. The latest code push was recorded on Oct 31, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,563 stars and 171 open issues.
What language is mnemosyne written in? +
The primary language is Python. Topics include: agents, ai, hermes, hermes-agent, ml.
How many stars does mnemosyne have? +
mnemosyne has 3,563 stars and 315 forks on GitHub.
How does mnemosyne rank among GitHub repositories? +
With 3,563 stars, mnemosyne-oss/mnemosyne is ranked #3,342 globally across all repositories tracked on GitHubRepo and #493 among Python projects.
What license is mnemosyne distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
