Agent OrchestrationExperimental
AI Agent Workflow System
An experimental workspace mapping multi-agent operations. Connects agent units (e.g., Planner, Researcher, Coder) to perform complex development cycles in an isolated container.
Role
AI Researcher & Coder
Status
Experimental
Type
Multi-Agent Sandbox
Timeline
R&D Phase
Core Stack
Python + LangChain
Stack
Technologies Used
PythonLangChainFastAPIChromaDBOllamaNext.js
Features
Key Features
Visual workspace monitoring active agent task delegations.
Local vector store caching agent memory tracks.
Automated code-syntax verification loop to catch agent errors.
Human-in-the-loop validation triggers for critical decisions.
INTERESTED IN WORKING TOGETHER?
Let's build something worth shipping.
Have a project in mind or want to discuss a technical challenge? Reach out.