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Oi
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Oi

One shared AI brain for your entire team. Oi connects all your AI tools and agents via a single MCP connection to share organizational memory, workflows, and guardrails.

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Rating
0
Reviews
27
Upvotes
about 2 months ago
Listed
Knowledge bases
Team Collaboration
AI Framework
Workflow Automation
Workspace Integration
Model Switching
AI Analytics
Tool information
Provider
Oi
Platforms
Web
Languages
English
Added to directory
about 2 months ago
Last updated
23 days ago
Rating
Not available
Pricing
Contact

About Oi

What the tool does and who it's for

Oi is a platform designed to integrate diverse AI tools—such as ChatGPT, Codex, Claude, Cursor, and MCP—into organizational workflows under a single framework. By utilizing a single MCP connection, it links all of an organization's AI tools and agents, establishing a shared 'AI brain' that retains memory, workflows, and guardrails across the entire team workspace. This infrastructure allows teams to alternate between different AI models and tools without losing organizational context or policy guardrails, thereby preventing vendor lock-in. Oi supports both proven public contexts and tailored custom contexts, and it includes built-in analytics to monitor adoption, workspace usage, and financial spending.

Key capabilities

Unified AI brain that consolidates organizational memory, guardrails, and workflows across the team.
Single MCP connection to link all external AI tools and agents into a centralized workspace.
Multi-model integration supporting tools like ChatGPT, Codex, Claude, Cursor, and Model Context Protocol (MCP).
Flexible infrastructure allowing seamless switching between different AI models without losing organizational context.
Custom context creation alongside public and proven pre-built contexts to suit specific business needs.
Embedded analytics to accurately track team adoption, tool usage metrics, and overall spending.
Vendor lock-in mitigation by ensuring policies and workflows remain independent of any single AI provider.

Pricing

Contact — plans below

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  • Unified AI framework
  • Single MCP connection for tools & agents
  • Shared organizational memory and guardrails
  • Model switching capabilities
  • Custom context creation
  • Embedded usage and spend analytics

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