Create State
Create State is a control plane for AI-assisted development that gives AI assistants persistent, shared context across projects, sessions, tools, and teams. It captures code, decisions, patterns, and insights in persistent world models/knowledge graphs, while providing team visibility, model governance, and audit controls.
At a Glance
- Individual software developers
- Software development teams and engineering organizations
- CTOs, CISOs, finance leaders, and AI governance decision-makers
- Large enterprises needing AI visibility, security, policy control, and compliance
- +2 more
AI Tools by Create State
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Create State
Shared Context and Governance for AI
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Latest News
Claude Sonnet 4.5 retirement: Create State migrated Sonnet integrations to Claude Sonnet 5.
Released The Definitive Guide to AI Governance and an accompanying assessment tool.
Announced Ask Your Team Anything, natural-language chat for the Teams Management Hub.
Announced availability in the Cursor Directory with one-click plugin installation.
Products & Services
Persistent intelligent containers and knowledge graphs for project code, documents, data, decisions, relationships, patterns, and insights. Users can import from GitHub, converse with project data, and receive background analysis.
Team and enterprise control plane for shared world models, granular permissions, Team Pulse, topic-expert discovery, AI model governance, usage monitoring, audit trails, cryptographic attribution, security intelligence, and employee-departure workflows.
Programmatic access for custom integrations, automation, and workflows, including a command-line interface, typed asynchronous Python SDK, and REST API access.
REST endpoints for shared knowledge graphs, code analysis, pattern detection, session handoffs, semantic project-knowledge search, and automatic project-context synthesis.
Market Position
Create State positions itself as a cross-assistant memory and governance control plane rather than another standalone coding assistant. Its differentiation is the combination of persistent knowledge graphs/world models, continuity across Cursor/Claude/ChatGPT and other tools, proactive background analysis, and organization-level governance, security, attribution, and audit capabilities. Comparable problem spaces include AI coding assistants with project context (such as Cursor and GitHub Copilot), AI memory/knowledge tools, and internal wikis or prompt libraries; Create State argues it is more integrated and enforceable than manual documentation approaches.
Founding Story
The company says Create State began with the founders' frustration at repeatedly re-explaining projects to AI assistants and losing context between sessions and across different AIs. It was initially built to provide persistent, intelligent memory connecting Cursor and other MCP-compatible AI tools, and later expanded toward shared team intelligence and governance.
Business Model
Revenue Model
Recurring subscription revenue from individual paid plans, per-seat Teams subscriptions, and custom Enterprise contracts. The platform also supports BYOK, while paid plans provide access to Platform AI and hosted-model capabilities.
Pricing Tiers
2 world models, hosted-model AI chat, and 4K built-in-chat context.
10 world models, background thinking, BYOK, Platform AI, up to 1,000 images per world model, 8K chat context, data export, and higher SDK/CLI limits.
Everything in Pro, 25 world models, up to 2,500 images per world model, and GNN code analysis.
Everything in Pro+, unlimited world models, 16K built-in-chat context, and up to 10,000 images per world model.
Shared world models, permissions, Team Pulse, topic-expert discovery, AI Security Intelligence, governance tools, attribution, departure workflows, GNN analysis, and 2-50 seats.
Teams features plus unlimited world models and images, unlimited teams, and by-agreement dedicated infrastructure, on-premises deployment, and SLA.
Target Markets
- Individual software developers
- Software development teams and engineering organizations
- CTOs, CISOs, finance leaders, and AI governance decision-makers
- Large enterprises needing AI visibility, security, policy control, and compliance
- Consulting firms and managed security service providers (MSSPs)
- Researchers, consultants, hospitality users, art cataloguers, critics, and other knowledge-intensive professionals
- Maintaining project context across AI coding sessions
- Switching between Cursor, Claude, ChatGPT, VS Code, Copilot, and other AI tools without losing context
- Onboarding developers using accumulated project knowledge
- Preserving institutional knowledge when employees leave
- Codebase understanding, architecture exploration, pattern detection, and code-quality analysis
- Team AI governance, security monitoring, compliance, and usage/cost visibility