Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#328
MOST-STARRED Kotlin
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
task-orchestrator gained 10 stars in the last 30 days, about 1 a day, and now has 207. It is about 1 year old and has averaged roughly 207 stars a year. It ranks #328 among Kotlin repositories and #8,298 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#7795
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
task-orchestrator has maintained a continuous presence across global trending indexes, peaking at #7795. Below is the 30-day activity profile:
💡 Overview
task-orchestrator is an open-source project written in Kotlin: Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-coding-assistant, ai-development, ai-harness. 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 Kotlin 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
$ git clone https://github.com/jpicklyk/task-orchestrator.git
cd task-orchestrator⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17+, Kotlin compiler >= 1.9
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
task-orchestrator coordinates its core functionality through a modular Kotlin 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 task-orchestrator.
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 task-orchestrator using your package manager: `git clone https://github.com/jpicklyk/task-orchestrator.git`
Initialize your project workspace or configuration file for task-orchestrator.
Import task-orchestrator into your codebase or invoke it directly from your terminal.
Execute your test suite or run `task-orchestrator --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Kotlin, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
jpicklyk/task-orchestrator is currently ranked #8,298 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,282 | yellowbluesky/PixivforMuzei3 | Kotlin | ★ 208 | Compare ↗ |
| #8,282 | snowflakedb/snowflake-connector-net | C# | ★ 208 | Compare ↗ |
| #8,282 | olabini/paipr | Ruby | ★ 208 | Compare ↗ |
| #8,282 | bifrost0x/webssh | Python | ★ 208 | Compare ↗ |
| #8,282 | cv-superding/dsh-deepseek-web-login | JavaScript | ★ 208 | Compare ↗ |
| #8,298 | jpicklyk/task-orchestrator This Project | Kotlin | ★ 207 | |
| #8,298 | human37/open-wispr | Swift | ★ 207 | Compare ↗ |
| #8,298 | hamedh/Radio | Objective-C | ★ 207 | Compare ↗ |
| #8,298 | bashu/django-secretballot | Python | ★ 207 | Compare ↗ |
| #8,298 | ask/python-github2 | Python | ★ 207 | Compare ↗ |
| #8,298 | ryantate/rturk | Ruby | ★ 207 | Compare ↗ |
Frequently Asked Questions
What does task-orchestrator do? +
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
What language is task-orchestrator written in? +
The primary language is Kotlin. Topics include: ai-coding-assistant, ai-development, ai-harness, ai-memory, ai-tools.
Is task-orchestrator actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 12 open issues being tracked.
How many stars does task-orchestrator have? +
task-orchestrator has 207 stars and 24 forks on GitHub.
How does task-orchestrator rank among GitHub repositories? +
With 207 stars, jpicklyk/task-orchestrator is ranked #8,298 globally across all repositories tracked on GitHubRepo and #328 among Kotlin projects.
What license is task-orchestrator distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
