Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#525
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
forgetful gained 10 stars in the last 30 days, about 1 a day, and now has 302. It is about 1 year old and has averaged roughly 302 stars a year. It ranks #525 among Python repositories and #4,433 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#3240
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
forgetful has maintained a continuous presence across global trending indexes, peaking at #3240. Below is the 30-day activity profile:
💡 Overview
forgetful is an open-source project written in Python: Opensource Memory for Agents.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-memory, claude-code. 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 forgetful⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
forgetful 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 forgetful.
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 forgetful using your package manager: `pip install forgetful`
Initialize your project workspace or configuration file for forgetful.
Import forgetful into your codebase or invoke it directly from your terminal.
Execute your test suite or run `forgetful --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
ScottRBK/forgetful is currently ranked #4,433 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,424 | semantic-release/npm | JavaScript | ★ 303 | Compare ↗ |
| #4,424 | vasturiano/three-forcegraph | JavaScript | ★ 303 | Compare ↗ |
| #4,424 | leuat/TRSE | C++ | ★ 303 | Compare ↗ |
| #4,424 | Kaliumhexacyanoferrat/GenHTTP | C# | ★ 303 | Compare ↗ |
| #4,424 | dedene/zentty | Swift | ★ 303 | Compare ↗ |
| #4,433 | ScottRBK/forgetful This Project | Python | ★ 302 | |
| #4,433 | davisp/python-spidermonkey | C | ★ 302 | Compare ↗ |
| #4,433 | savonrb/httpi | Ruby | ★ 302 | Compare ↗ |
| #4,433 | ioBroker/ioBroker.admin | TypeScript | ★ 302 | Compare ↗ |
| #4,433 | yoshidan/google-cloud-rust | Rust | ★ 302 | Compare ↗ |
| #4,433 | elsa-workflows/elsa-studio | C# | ★ 302 | Compare ↗ |
Frequently Asked Questions
What does forgetful do? +
Opensource Memory for Agents
What language is forgetful written in? +
The primary language is Python. Topics include: ai-agents, ai-memory, claude-code, long-term-memo, mcp.
Is forgetful actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 5 open issues being tracked.
How many stars does forgetful have? +
forgetful has 302 stars and 28 forks on GitHub.
How does forgetful rank among GitHub repositories? +
With 302 stars, ScottRBK/forgetful is ranked #4,433 globally across all repositories tracked on GitHubRepo and #525 among Python projects.
What license is forgetful distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
