Open by Design
No black box. You control code, integrations, and execution.
🚀 Open-source AI Agent Framework
Openzess is an extensible AI agent platform with a fast React + TypeScript frontend and a Python backend plugin ecosystem. Own your stack. Extend your agent. Ship faster.
> user: analyze frontend architecture
> openzess: scanning React modules...
> openzess: found TypeScript-based components
> openzess: plugin "repo_inspector" loaded ✅
> openzess: recommendation generated.
Dynamic plugin registration
@plugin_registry.register
def custom_tool(query: str):
return run_internal_logic(query)
TypeScript
66.6%
Python
29.1%
Repo
openzess
Team Ready
Hackathon ⚡
A practical alternative to closed AI systems — transparent architecture, developer-first extensibility, and local ownership.
No black box. You control code, integrations, and execution.
Built with React + TypeScript + Vite for blazing-fast development and UX.
Teach the agent new capabilities with drop-in Python scripts.
Host locally or on your own infra. Keep sensitive workflows in-house.
Perfect for hackathons and dev teams building custom AI workflows fast.
Modular architecture allows clean growth from MVP to scalable product.
Simple, scalable, and easy to demo in a hackathon.
Layer 1
React + TypeScript interface for prompts, outputs, and workflow control.
Layer 2
Python backend handles task routing, reasoning chains, and plugin execution.
Layer 3
Custom Python modules registered dynamically to expand AI capabilities.
Add your script to backend/plugins/ and register functions to extend the agent instantly.
from openzess import plugin_registry
@plugin_registry.register
def fetch_internal_metrics(project_id: str):
"""
Openzess tool: fetches custom project metrics
"""
return {"project": project_id, "status": "healthy"}
Launch Openzess, plug in your tools, and ship your agent-driven workflows today.
Phase 1
Polish frontend UX and backend reliability for production-ready demos.
Phase 2
Add reusable plugins for scraping, analytics, filesystem, and integrations.
Phase 3
Collaborative agents, memory persistence, and richer orchestration.