Last updated: 10/5/2026Last verified: 2026-08-14
Brainbase's Universal Managed Agents API is a single managed API to deploy coding and knowledge-work agents across 8+ harnesses (Claude Code, Codex, OpenCode, Cursor, and more) with interchangeable models — Brainbase runs the agent loop, sandboxed computers, and credentials for you. One request provisions an agent with its own environment, so platforms ship agent infrastructure without managing it.
What is Universal Managed Agents API?
Universal Managed Agents API is Brainbase's managed API for deploying coding and knowledge-work agents across multiple agent harnesses. It supports harnesses such as Claude Code, Codex, OpenCode, Cursor, and others, while allowing models to be treated as an independent, swappable field. Brainbase manages the agent loop, sandboxed computers, credentials, and environment provisioning so platforms can add agent infrastructure without building the full backend themselves.
Key Features
- Single API for deploying agents across 8+ harnesses, including Claude Code, Codex, OpenCode, Cursor, and more
- Interchangeable model selection, allowing models to be swapped independently from the agent harness
- Managed sandbox infrastructure where one request provisions an agent with its own computer environment
- Live machine preview for observing the provisioned agent environment
- Universal Agent Protocol for declaring instructions, MCP servers, skills, permissions, and secrets once
- Production orchestration capabilities including multi-agent teams, hand-offs, versioning, and observability
- Agent-as-judge scoring and eval support for assessing agent performance
Best For
Pricing
Universal Managed Agents API is listed as using a freemium pricing model. The provided information does not include specific plan limits, usage-based rates, included credits, enterprise pricing, or overage details, so buyers should confirm current pricing directly with Brainbase.
Pros & Cons
Pros
- Consolidates access to multiple agent harnesses behind one API
- Reduces the need to manage agent loops, sandbox provisioning, and environment setup internally
- Supports swappable models, which can help teams test different model and harness combinations
- Universal Agent Protocol may simplify defining instructions, MCP servers, skills, permissions, and secrets across harnesses
- Includes production-oriented capabilities such as orchestration, observability, versioning, and evals
- Relevant for both coding-agent workflows and broader knowledge-work automation
Cons
- Publicly provided information does not include detailed pricing or usage limits
- The complete list of supported harnesses and models is not specified in the supplied details
- Teams may need engineering resources to integrate the API into their platform or workflow
- Organizations with strict compliance requirements should independently review Brainbase's security, data handling, and credential management practices
- Feature availability may vary depending on the selected harness, model, and configuration
Alternatives
Provides an API for building AI assistants and agent-like workflows with OpenAI models, tools, and file-based context.
Offers access to Claude models for coding, analysis, and knowledge-work automation, suitable for teams building custom AI agents.
An open-source framework for building stateful, multi-step, and multi-agent AI workflows with more direct control over orchestration.
Microsoft's framework for creating multi-agent conversations and collaborative AI workflows across different roles and tasks.
A framework for building role-based AI agent teams, useful for teams that want to design and run multi-agent workflows.
A coding-focused AI agent environment for generating, editing, and deploying software projects within Replit.
FAQ
Details
Platform
Features
- Single API over 8+ agent harnesses (Claude Code, Codex, OpenCode, Cursor, and more) with models as an independent, swappable field
- Managed sandboxes and infrastructure — one request provisions an agent with its own computer and live machine preview
- Universal Agent Protocol (UAP): declare instructions, MCP servers, skills, permissions, and secrets once and run on any harness
- Production orchestration and evals — multi-agent teams, hand-offs, versioning, observability, and agent-as-judge scoring
Languages
Known limitations
- B2B developer infrastructure — API-first, no end-user product UI
- Teams plan costs $500/mo flat plus usage, billed per agent run
- Cost varies by harness and model chosen; Bring Your Own Keys is Enterprise-only
- Free tier limits: $25 credits, 7-day data retention, 20 concurrent sandboxes
