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AI Agent Toolkit
A Windows-first local AI coding toolkit — multi-agent workflows, Ollama automation, and developer dashboard utilities.
- Role
- Solo developer: tooling design, PowerShell automation, and agent orchestration.
- Stack
- PowerShellOllamaLocal LLMsWindows
- Links
- Source
Context
Problem
Most AI coding tooling assumes the cloud and a Unix shell. This toolkit explores a local-first, Windows-native workflow for running and orchestrating models on your own machine.
Approach
Solution
A PowerShell-based toolkit that automates Ollama, coordinates multiple agents, and ships small dashboard utilities — keeping the loop local, scriptable, and Windows-friendly.
Features
- Multi-agent workflow orchestration
- Ollama automation scripts
- Local-first, Windows-native setup
- Developer dashboard utilities
Architecture notes
- Automation is scripted in PowerShell so it stays transparent and hackable.
- Agent coordination is kept separate from model-runtime concerns.
Challenges
Outcome
A working local-first AI tooling experiment aimed at Windows developers.
What I learned
Lessons learned
- 01Local-first AI tooling trades convenience for control and privacy.
- 02Windows-native developer tooling is underserved and worth designing for.
Next steps
Next steps
- 01Document setup
- 02Add more agent recipes
- 03Publish usage examples