An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
⚡ Executive Summary & Quick Facts
Authoritative Sourcememoket-kite is memoket-kite is an open-source project written in Python: An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), memoket/memoket-kite has accumulated 228 GitHub stars and 24 forks. It is written in Python, licensed under Apache-2.0, and ranks #15,018 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | memoket/memoket-kite ↗ |
|---|---|
| Primary Category | agent memory |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 228 stars · ⑂ 24 forks · #15,018 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 3 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: 93/100 · Grade A+Yes, memoket-kite is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (3 days ago). Supported by 228 stars and 24 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,924
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 |
memoket-kite gained 10 stars in the last 30 days, about 1 a day, and now has 228. It is about 1 year old and has averaged roughly 228 stars a year. It ranks #1,924 among Python repositories and #15,018 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#14827
BEST RANK
Oct 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
memoket-kite has maintained a continuous presence across global trending indexes, peaking at #14827. Below is the 30-day activity profile:
💡 Overview
memoket-kite is an open-source project written in Python: An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, agents, ai. 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 memoket-kite⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
memoket-kite 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 memoket-kite.
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 memoket-kite using your package manager: `pip install memoket-kite`
Initialize your project workspace or configuration file for memoket-kite.
Import memoket-kite into your codebase or invoke it directly from your terminal.
Execute your test suite or run `memoket-kite --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
memoket/memoket-kite is currently ranked #15,018 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #14,984 | joshuaswarren/remnic | TypeScript | ★ 229 | Compare ↗ |
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| #15,018 | memoket/memoket-kite This Project | Python | ★ 228 | |
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Frequently Asked Questions
What does memoket-kite do? +
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Is memoket-kite actively maintained in 2026? +
Yes, memoket-kite is actively maintained. The latest code push was recorded on Oct 27, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 228 stars and 3 open issues.
What language is memoket-kite written in? +
The primary language is Python. Topics include: agent-memory, agents, ai, ai-agents, ai-memory.
How many stars does memoket-kite have? +
memoket-kite has 228 stars and 24 forks on GitHub.
How does memoket-kite rank among GitHub repositories? +
With 228 stars, memoket/memoket-kite is ranked #15,018 globally across all repositories tracked on GitHubRepo and #1,924 among Python projects.
What license is memoket-kite distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
