KanBots: A Kanban System for Parallel AI Agents
260
KanBots is a local-first Kanban system that orchestrates parallel AI agents to automate software development through a structured, persona-driven workflow.
Task Orchestration
Systems and patterns for scheduling, coordinating, and managing the execution of automated tasks — including persistent agents, job queues, and inter-process communication.
Reading List
Daisy-DAG: A YAML-Powered Engine for Complex Workflow Automation
A YAML-driven workflow engine for executing and visualizing complex Directed Acyclic Graphs with support for parallel tasks and retries.
An open-source spec for Codex orchestration: Symphony. | OpenAI
Symphony is an orchestrator that automates coding agents by using project management boards as the primary control plane for task execution.
Automating Software Workflows with Claude Code Routines
711
Claude Code Routines enable autonomous, multi-trigger developer automation powered by Anthropic's cloud infrastructure.
Claudraband: Persistent Sessions and Programmatic Control for Claude Code
105
Claudraband enhances the Claude Code TUI with persistent sessions, remote daemon control, and editor integration for power users.
GitHub - paperclipai/paperclip: Open-source orchestration for zero-human companies
Paperclip is an open-source orchestration engine that manages multiple AI agents as a cohesive, autonomous company with built-in governance and budget controls.
Guide to Claude Code Cloud Scheduled Tasks
287
Automate recurring development workflows on Anthropic's cloud without needing your computer to stay powered on.
Spine Swarm: Democratizing High-Performance AI Agent Orchestration
106
Spine Swarm is a benchmark-leading platform that simplifies the orchestration of autonomous AI agent swarms through a visual, user-friendly interface.
Agent Kanban: Persistent AI Task Management for VS Code
VS Code Agent Kanban provides a persistent, Git-integrated task management system for AI-assisted coding to eliminate context loss.
The Rise of 'Claws': A New Layer for AI Agents
290
'Claw' is emerging as the standard term for a new layer of persistent AI agents that run on personal hardware and manage complex task orchestration.
Agent Teams in Claude Code: Parallel Collaboration (Experimental)
396
Use Agent Teams to coordinate multiple Claude Code sessions for parallel, discussion-heavy work—powerful but experimental and costlier than subagents.
From Coding to Orchestrating: Codex and the Shift to Spec‑First Development
We’re moving from writing code to orchestrating agents and specs, and Codex is a practical step in that transition.
OpenAI launches Codex macOS app: multi‑agent control, skills, and automations
805
OpenAI’s new macOS Codex app is a secure, multi‑agent command center with skills and automations that turns coding agents into end‑to‑end development partners.
LLM-as-a-Courtroom: Evidence-Backed Doc Updates from Code Changes
Turn doc-update decisions into a legal-style, evidence-backed courtroom so LLMs reason better and teams trust the results.
AI Orchestrates a Real Corn Harvest
476
AI proves real-world impact by managing a full corn crop through orchestration, not manual operation.
Gas Town as Design Fiction: What a Chaotic Agent Orchestrator Teaches Us
403
A messy but instructive prototype, Gas Town shows that in an agentic future the real leverage is in orchestration, planning, and guardrails—not raw code generation.
Coding Automation in Practice: Agents with Tests, Orchestration, and Human Oversight
Use AI agents for the grunt work under a solid test harness and human oversight; keep architecture and verification human-led.
Ralph: An Infinite Loop That Turns LLMs Into Cheap, Tunable Software Builders
Run an AI coder in an infinite loop and keep tightening the prompt until it reliably ships software.
Ralph Wiggum Technique: Field Notes, Failures, and What Actually Works
Ralph works when you engineer context and specs well, keep tasks small, and iterate—simple loops beat opaque tooling.
A Field Guide to Real‑World Agentic AI Patterns
171
A living field guide of proven agentic AI patterns to help teams build production-ready agents, organized for quick use and open to community contributions.
Async Mobile Dev: Six Claude Agents from a Phone
543
A secure, pay-per-use cloud VM plus push-notified Claude Code turns phone-based, parallel software development into an async, on-the-go workflow.
Claude’s Advanced Tool Use: On‑Demand Discovery, Code Orchestration, and Example‑Driven Calls
673
Claude can now discover, orchestrate, and use large tool ecosystems efficiently through on-demand discovery, code-driven execution, and example-guided invocation.
Google Antigravity: An Agent-First IDE for Autonomous, Trustworthy Coding
193
Antigravity is Google’s agent-first IDE and manager that enables autonomous, trustworthy, and asynchronous software development with built-in feedback and learning.
Google Antigravity: An Agent‑First AI IDE for Trusted, Cross‑Surface Development
1088
An AI, agent-first IDE that coordinates trusted, cross-surface development workflows and multi-agent management, free to download.
Operationalizing Claude Code: Guardrails, Context Hygiene, Skills, and CI
534
Treat Claude Code as an operational system—guardrails in CLAUDE.md, explicit context hygiene, scripting-first Skills, and CI integration—then let the agent orchestrate itself.
Claude Haiku 4.5: Near-Frontier Coding at 1/3 Cost and 2x+ Speed
730
Anthropic’s Claude Haiku 4.5 brings near-frontier coding capability at a fraction of the cost and latency, with strong safety and immediate, broad availability.
Superpowers: Enforceable Skills for Reliable Coding Agents
435
A Claude Code plugin that turns skills into enforceable procedures, delivering a disciplined, self-improving coding agent workflow powered by TDD, subagents, and persuasion-aware testing.
Deep Orchestrator: A Simple MCP Loop That Makes Deep Research Work
Keep the agent simple: plan–execute–deterministically verify in a loop, with MCP tools, targeted memory, and a small policy engine.
Ship Faster by Orchestrating Parallel AI Coding Agents
Run many AI coding agents in parallel, orchestrate and review their work, and you’ll ship more by trading precision for throughput.
Standardizing the AI Orchestrator as a Model Virtual Machine
234
Treat the AI orchestrator as a secure, standardized virtual machine so models can safely and portably use tools and data under strict governance.