Audience
Developers and teams building, integrating, and operating TypeScript-based AI agents, including background agents, coding workflows, and other automated tasks.
About OpenComputer
OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation.
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The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents.
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OpenAI Agents API
The Agents API lets developers build and run cloud agents with the same harness and infrastructure that powers Codex, fully managed by OpenAI. A production-ready agent can be created with a single API call by specifying the task, model, tools, and environment, while OpenAI hosts and maintains the agent harness. Developers can choose where agents run: in an OpenAI-hosted sandbox, on their own infrastructure, or through supported sandbox partners. OpenAI-hosted sandboxes provide secure environments where agents can run code, work with files, use packages, skills, and plugins, and produce artifacts. The API is designed for long-running work, with automatic context compaction that preserves relevant information as sessions span multiple context windows. Tool search loads relevant tool definitions only when needed, while programmatic tool calling lets agents run calls in parallel, chain related operations, and filter or combine results in code.
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StateFabric
StateFabric a small infrastructure layer for AI agents that need more context than chat history.
Once an agent starts using tools, running for longer sessions between restarts, ‘keep the messages in memory’ doesn’t really cut it. You need to know:
- what happened?
- what state changed?
- which tools were called?
- what context should go into the next model turn?
StateFabric stores an append-only event log for agent runs, then derives working context from it.
Today it supports:
- Durable sessions and event storage
- User/model/tool event timelines
- Reconstructed session state from stored events
- Compacted model-facing context
- A dashboard for inspecting sessions, raw payloads, compaction artefacts, and usage
- Google ADK integration via @statefabric/adk
- Direct Node/REST usage via @statefabric/client (for custom runtimes)
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Pricing
Pricing Details:
PAYG: machine time starts at $0.00315/min, billed per second; model calls are passed through at API rates. $10 credit to start; no monthly commitment. Pro is $20/month and Max $200/month, each prepaid as 10× usage credit. Enterprise pricing is custom.
Company Information
OpenComputer
opencomputer.dev/
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Product Details
Platforms Supported
Cloud