AI Agent Infrastructure

Building the platform for autonomous AI agents

We're building Genesis — an open platform for orchestrating AI agents at scale. Define workflows declaratively, let agents handle the rest.

Core Platform

Genesis

An AI Agent Management Platform for orchestrating task execution across autonomous agents. Agents register their capabilities, and Genesis automatically routes tasks to the right agent — decoupled through event streams.

Domain-agnostic by design. Developers bring their own agents in any language, define workflows as DAGs, and Genesis handles orchestration, routing, health monitoring, and execution.

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DAG Workflow Engine

Parallel fan-out, conditional branching, approval gates, dynamic fan-out with forEach, and sub-workflow composition.

Smart Task Routing

Capability-based matching with capacity-aware routing, backpressure handling, and atomic concurrency control via Redis.

Agent Health & Lifecycle

Heartbeat protocol, automatic status transitions, health monitoring, graceful shutdown, and self-healing reconciliation.

Auth & Multi-Tenancy

API key and JWT dual auth, role-based access control (admin/operator/viewer), tenant isolation on all operations.

Workflow: financial-research
stock-quote Real-time pricing via Alpaca
company-profile Company fundamentals
historical-data 12-month price history
fundamentals Financial statements
news-sentiment Market news analysis
technical-analysis Chart patterns & indicators
ai-summarizer Claude-powered research brief

Live Demo

StockSnap

A financial research dashboard powered by Genesis. Enter a ticker symbol and 7 specialized AI agents fan out in parallel — fetching quotes, analyzing fundamentals, reading news, running technical analysis — then an AI summarizer synthesizes everything into a research brief.

Built to stress-test Genesis with real-world workloads: parallel execution, partial failure tolerance, live task polling, and multi-agent coordination.

Launch StockSnap

How It Works

Platform Architecture

Define Workflows

Declare multi-step DAG workflows with conditions, parallel branches, and approval gates.

Deploy Agents

Register agents with capabilities. Genesis routes tasks automatically based on availability and capacity.

Observe & Scale

Monitor health, track executions, and scale agents independently. Built-in metrics and structured logging.

About

Why We're Building This

AI agents are moving beyond simple prompt-response patterns into multi-step, collaborative workflows. But the infrastructure to orchestrate, monitor, and scale these agents is still nascent.

Genesis is our answer — a domain-agnostic platform that handles the hard parts of agent orchestration so developers can focus on building intelligent agents, not plumbing.

Built in the open with TypeScript, PostgreSQL, and Redis. Designed for developers who want to move fast without giving up reliability.