OpenAI Agents APIOpenAI
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Related Products
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About
Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.
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About
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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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises, platform teams, developers, security teams, and business users seeking to deploy, govern, secure, and monitor AI agents, models, tools, knowledge, and MCP infrastructure across an organization
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Audience
Developers and AI teams seeking to build reliable, long-running cloud agents with managed context, tools, sandboxes, and multi-agent orchestration
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationArchestra
United States
archestra.ai/
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Company InformationOpenAI
Founded: 2015
United States
openai.com/index/introducing-the-agents-api/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
OpenAI
Anthropic
Azure OpenAI Service
ChatGPT
ChatGPT Work
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
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Integrations
OpenAI
Anthropic
Azure OpenAI Service
ChatGPT
ChatGPT Work
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
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