v2.0 — Now in production

The Future of Autonomous AI

rsi-agent gives developers the infrastructure to build, deploy, and orchestrate AI agents that act — not just respond. Ship intelligent automation at scale.

agent.config.ts
// rsi-agent runtime
agent.run({
task: 'analyze_codebase',
model: 'rsi-v2',
tools: ['git', 'linter', 'test_runner'],
on_complete: deploy
});
agent running — 3 tools active
10xFaster than manual workflows
99.9%Uptime across all agent runs
50+Native tool integrations
// Use Cases

Built for the workflows that matter

DevOps

Automated Code Review

Agents that scan pull requests, flag issues, enforce standards, and suggest fixes — before a human ever looks.

>learn_more()
Data Engineering

Data Pipeline Orchestration

Autonomous agents that ingest, transform, and route data across systems with zero manual intervention.

>learn_more()
SRE / Ops

Incident Response

Real-time agents that detect anomalies, triage alerts, and execute runbooks faster than any on-call rotation.

>learn_more()
Backend

API Integration Automation

Connect, sync, and manage third-party APIs with agents that handle auth, retries, and schema drift automatically.

>learn_more()
// How It Works

From prompt to production in three steps

01

Define the Agent

Specify the task, tools, and decision logic using our declarative agent schema or SDK.

02

Connect Your Stack

Integrate with your existing APIs, databases, and services via native connectors or webhooks.

03

Deploy & Observe

Ship to production with full observability — traces, logs, and real-time agent state at every step.

Ready to build agents that actually work?

Join the developers shipping autonomous AI in production today.