libingzheren/Jev-Mem
Jev-Mem: System-One Controlled Agentic Memory
⚡ Executive Summary & Quick Facts
Authoritative SourceJev-Mem is Jev-Mem is an open-source project written in Python: Jev-Mem: System-One Controlled Agentic Memory..
| Repository | libingzheren/Jev-Mem ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 146 stars · ⑂ 15 forks · #15,863 globally |
| Maintenance | ● Active (Last commit: Sep 28, 2026) · 1 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,031
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
Jev-Mem gained 10 stars in the last 30 days, about 1 a day, and now has 146. It is about 1 year old and has averaged roughly 146 stars a year. It ranks #2,031 among Python repositories and #15,863 across all languages on GitHubRepo.
Trending Record
23
DAYS ON TRENDING
#474
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Jev-Mem has maintained a continuous presence across global trending indexes, peaking at #474. Below is the 30-day activity profile:
💡 Overview
Jev-Mem is an open-source project written in Python: Jev-Mem: System-One Controlled Agentic Memory.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-memory, agentic-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 Jev-Mem⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Jev-Mem 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 Jev-Mem.
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 Jev-Mem using your package manager: `pip install Jev-Mem`
Initialize your project workspace or configuration file for Jev-Mem.
Import Jev-Mem into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Jev-Mem --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
libingzheren/Jev-Mem is currently ranked #15,863 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,815 | jdilla1277/agentcad | Python | ★ 147 | Compare ↗ |
| #15,815 | suncityldp/zx-bench | TypeScript | ★ 147 | Compare ↗ |
| #15,815 | supercorp-ai/supercov | Rust | ★ 147 | Compare ↗ |
| #15,815 | arcships/rutis | Rust | ★ 147 | Compare ↗ |
| #15,815 | gilnett/learned_index_lab | Rust | ★ 147 | Compare ↗ |
| #15,863 | libingzheren/Jev-Mem This Project | Python | ★ 146 | |
| #15,863 | acrosa/scala-redis | Scala | ★ 146 | Compare ↗ |
| #15,863 | HashNuke/Python-Arduino-Prototyping-API | Python | ★ 146 | Compare ↗ |
| #15,863 | huxi/lilith | Java | ★ 146 | Compare ↗ |
| #15,863 | keolo/mixpanel_client | Ruby | ★ 146 | Compare ↗ |
| #15,863 | mkernel/EWProxyFramebuffer | C++ | ★ 146 | Compare ↗ |
Frequently Asked Questions
What does Jev-Mem do? +
Jev-Mem: System-One Controlled Agentic Memory
What language is Jev-Mem written in? +
The primary language is Python. Topics include: agent, agent-memory, agentic-ai, agentic-memory, agents.
Is Jev-Mem actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 1 open issues being tracked.
How many stars does Jev-Mem have? +
Jev-Mem has 146 stars and 15 forks on GitHub.
How does Jev-Mem rank among GitHub repositories? +
With 146 stars, libingzheren/Jev-Mem is ranked #15,863 globally across all repositories tracked on GitHubRepo and #2,031 among Python projects.
What license is Jev-Mem distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
