agenticfabriq/mnemiq
Open-source text-to-SQL engine you tune and measure on your own database
⚡ Executive Summary & Quick Facts
Authoritative Sourcemnemiq is mnemiq is an open-source project written in Python: Open-source text-to-SQL engine you tune and measure on your own database..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), agenticfabriq/mnemiq has accumulated 112 GitHub stars and 29 forks. It is written in Python, licensed under Apache-2.0, and ranks #25,263 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
| Repository | agenticfabriq/mnemiq ↗ |
|---|---|
| Primary Category | data agents |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 112 stars · ⑂ 29 forks · #25,263 globally |
| Maintenance | ● Active (Last commit: Nov 2, 2026) · 0 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, mnemiq is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (10 days ago). Supported by 112 stars and 29 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
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/agenticfabriq/mnemiq?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/agenticfabriq/mnemiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/agenticfabriq/mnemiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/agenticfabriq/mnemiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/agenticfabriq/mnemiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/agenticfabriq/mnemiq?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#3,522
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 |
mnemiq gained 10 stars in the last 30 days, about 1 a day, and now has 112. It is about 1 year old and has averaged roughly 112 stars a year. It ranks #3,522 among Python repositories and #25,263 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#20915
BEST RANK
Nov 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mnemiq has maintained a continuous presence across global trending indexes, peaking at #20915. Below is the 30-day activity profile:
💡 Overview
mnemiq is an open-source project written in Python: Open-source text-to-SQL engine you tune and measure on your own database.
Engineered for speed, consistency, and developer ease, it solves common hurdles in data-agents, database, databricks. 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 mnemiq⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mnemiq 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 mnemiq.
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 mnemiq using your package manager: `pip install mnemiq`
Initialize your project workspace or configuration file for mnemiq.
Import mnemiq into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mnemiq --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
agenticfabriq/mnemiq is currently ranked #25,263 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,168 | beyondtahir/beyondwords | Python | ★ 113 | Compare ↗ |
| #25,168 | AetherLabsAI/Video2World | Python | ★ 113 | Compare ↗ |
| #25,168 | bertel2020/HA-Housekeeper | Python | ★ 113 | Compare ↗ |
| #25,168 | carreypro/ict-trading-model | Python | ★ 113 | Compare ↗ |
| #25,168 | stephanes-dev/AverageJormungandr | JavaScript | ★ 113 | Compare ↗ |
| #25,263 | agenticfabriq/mnemiq This Project | Python | ★ 112 | |
| #25,263 | slagyr/limelight | Java | ★ 112 | Compare ↗ |
| #25,263 | lang/unicode_utils | Ruby | ★ 112 | Compare ↗ |
| #25,263 | nothingmuch/git-svn-abandon | Shell | ★ 112 | Compare ↗ |
| #25,263 | hrehfeld/QuakeInjector | Java | ★ 112 | Compare ↗ |
| #25,263 | ayoy/qoauth | C++ | ★ 112 | Compare ↗ |
Frequently Asked Questions
What does mnemiq do? +
Open-source text-to-SQL engine you tune and measure on your own database
Is mnemiq actively maintained in 2026? +
Yes, mnemiq is actively maintained. The latest code push was recorded on Nov 2, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 112 stars and 0 open issues.
What language is mnemiq written in? +
The primary language is Python. Topics include: data-agents, database, databricks, duckdb, llm.
How many stars does mnemiq have? +
mnemiq has 112 stars and 29 forks on GitHub.
How does mnemiq rank among GitHub repositories? +
With 112 stars, agenticfabriq/mnemiq is ranked #25,263 globally across all repositories tracked on GitHubRepo and #3,522 among Python projects.
What license is mnemiq distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
