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ldbumble/taskuary

Your work, already underway. A personal AI assistant for your job: mail, chats and tickets become tasks, the agents you already use (Claude Code, Codex, Gemini) do the work, and nothing goes out until you approve. Open source, runs on your machine.

★138STARS
⑂52FORKS
!62ISSUES
🏆#15,557GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,977

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

taskuary gained 10 stars in the last 30 days, about 1 a day, and now has 138. It is about 1 year old and has averaged roughly 138 stars a year. It ranks #1,977 among Python repositories and #15,557 across all languages on GitHubRepo.

Trending Record

taskuary has maintained a continuous presence across global trending indexes, peaking at #14702. Below is the 30-day activity profile:

💡 Overview

taskuary is an open-source project written in Python: Your work, already underway. A personal AI assistant for your job: mail, chats and tickets become tasks, the agents you already use (Claude Code, Codex, Gemini) do the work, and nothing goes out until you approve. Open source, runs on your machine.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-workflow, ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install taskuary

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

taskuary 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 taskuary.

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

1

Install taskuary using your package manager: `pip install taskuary`

2

Initialize your project workspace or configuration file for taskuary.

3

Import taskuary into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `taskuary --help` to verify successful setup.

👍 Strengths

Active community backing with 138 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 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

ldbumble/taskuary is currently ranked #15,557 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,507 with-pebbly/aseprite-ai-artist TypeScript ★ 139 Compare ↗
#15,507 apimart-66/openai-compatible-api-migration-kit Python ★ 139 Compare ↗
#15,507 artemnovitckii/creator-lab JavaScript ★ 139 Compare ↗
#15,507 samine825/Hypr3D C++ ★ 139 Compare ↗
#15,507 sergqwer/strata-nvfp4 C++ ★ 139 Compare ↗
#15,557 ldbumble/taskuary This Project Python ★ 138
#15,557 rsim/ruby-plsql Ruby ★ 138 Compare ↗
#15,557 damog/feedbag Ruby ★ 138 Compare ↗
#15,557 arydjmal/to_xls Ruby ★ 138 Compare ↗
#15,557 YesWiki/yeswiki PHP ★ 138 Compare ↗
#15,557 internetarchive/bookserver Python ★ 138 Compare ↗
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Frequently Asked Questions

What does taskuary do? +

Your work, already underway. A personal AI assistant for your job: mail, chats and tickets become tasks, the agents you already use (Claude Code, Codex, Gemini) do the work, and nothing goes out until you approve. Open source, runs on your machine.

What language is taskuary written in? +

The primary language is Python. Topics include: agentic-workflow, ai, ai-agents, automation, claude.

Is taskuary actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 62 open issues being tracked.

How many stars does taskuary have? +

taskuary has 138 stars and 52 forks on GitHub.

How does taskuary rank among GitHub repositories? +

With 138 stars, ldbumble/taskuary is ranked #15,557 globally across all repositories tracked on GitHubRepo and #1,977 among Python projects.

What license is taskuary distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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