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Amodal Cloud

Build and operate agents from your repo

What is Amodal?

Amodal is a cloud platform for building domain-specific AI agents from a git repo of Markdown, JSON, and TypeScript. Rather than building agent infrastructure from scratch, teams connect their APIs, add domain knowledge, define skills, and deploy the agent through Studio. Amodal provides the reasoning loop, hosted runtime, session replay, evals, cost tracking, deployment controls, and operational logs around it.

The core loop is explore → plan → execute: the agent gathers data, reasons about it, and takes action, compounding knowledge with every interaction. You define the agent in source. Amodal turns that source into a production deployment that can be embedded in an app, operated by a team, and monitored over time.

How it works

An Amodal project is a folder of plain files that describe what your agent knows, what it can access, and how it should think:

  • Connections define API access. Each connection is a directory with a spec, auth config, and natural-language documentation that teaches the agent what endpoints exist and when to use them.
  • Skills are markdown files that encode expert reasoning — investigation methodologies, triage procedures, escalation logic. They activate automatically based on the user's question.
  • Knowledge is persistent domain context: environment details, team structures, historical patterns, baseline metrics. The agent loads it on demand and proposes updates as it learns.
  • Tools are custom actions beyond the built-in set — HTTP calls, multi-system chains, or arbitrary function handlers with confirmation rules and rate limits.

Studio and the hosted runtime compile these files into an agent context and drive a state-machine loop against supported LLMs (Anthropic, OpenAI, Google, DeepSeek, Groq, Mistral, xAI). The agent reasons about user questions, dispatches sub-agents for data gathering, and returns structured answers. Sessions, deploys, evals, activity, and cost data are tracked so operators can see what changed and why.

# Agent source lives in git.
amodal.json
connections/slack/
skills/triage.md
knowledge/runbook.md
evals/escalation.md

Build

  • Quick Start — Create an agent, connect an API, deploy it, and chat in Studio.
  • Studio Tutorial — Build and operate a GTM-style agent workspace.
  • Connections — 20+ pre-built plugins for Slack, GitHub, Stripe, Datadog, Jira, and more.
  • Skills — Author expert reasoning frameworks in Markdown.
  • Tools — Define custom HTTP, chain, and function tools.
  • Knowledge — Persistent domain context that grows with use.

Operate & Embed

  • Providers — Anthropic, OpenAI, Google Gemini with automatic failover.
  • React SDK — Embed agents in your product with @amodalai/react.
  • Evals — Test behavior across models and deployments.
  • Automations — Run scheduled and webhook-triggered agent workflows.
  • Architecture — The explore-plan-execute loop, context isolation, and multi-agent dispatch.