GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
Primiso
$1Starting price
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About Primiso
Primiso provides a structured knowledge layer that stores architecture decisions, coding standards, security rules, workflows, and project context for AI-powered teams. It exposes approved knowledge to AI clients such as Claude, ChatGPT, Cursor, and other MCP-compatible tools, ensuring consistency and alignment across different AI systems. The platform allows teams to create, draft, review, and publish resources like Contexts, Instructions, Skills, Prompt Templates, Checklists, and Agent Profiles. Each resource is versioned and governed, with access controlled through role-based permissions. Primiso integrates with existing AI workflows via an MCP server or public API, enabling AI tools to reference a single source of truth. Projects are isolated per organization, preventing cross-project knowledge leakage unless explicitly shared. The system is designed for teams that rely on AI tools for development, platform operations, or client work, helping standardize outputs and reduce maintenance debt.
Key features
- Contexts for architecture and business rules
- Instructions for coding and security standards
- Skills for reusable workflows
- Prompt Templates for shared prompt libraries
- Checklists for QA and release verification
- Agent Profiles for reusable AI roles
- MCP server and public API for AI client integration
- Version history for all resources
Use cases
- Standardizing AI tool usage across development teams
- Maintaining consistent coding standards and security rules
- Isolating client projects while reusing shared templates
Pros
- Supports six resource types (Contexts, Instructions, Skills, Prompt Templates, Checklists, Agent Profiles)
- Version-controlled publishing with role-based permissions
- MCP server and public API for integration with AI clients
- Project isolation and multi-tenancy for security
- Library of reusable templates and instructions
Cons
- No free tier beyond limited project and request allowances
- Requires MCP-compatible AI clients for full functionality
- Pricing structure scales with project and request limits
Frequently asked questions about Primiso
What is Primiso and what does it do?
Primiso is a knowledge layer for AI-powered teams that stores architecture decisions, coding standards, security rules, workflows, and project context. It exposes approved knowledge to AI clients such as Claude, ChatGPT, Cursor, and other MCP-compatible tools, ensuring consistency and alignment across different AI systems.
Who is Primiso designed for?
Primiso is designed for AI-first teams, including platform and DevEx teams, development teams using AI clients, and agencies or consultancies managing multiple client projects. It helps standardize AI tool outputs and reduce maintenance debt.
How do AI clients connect to Primiso?
AI clients connect to Primiso through its MCP server or public API. Once connected, they can reference a single source of truth for approved knowledge, such as Contexts, Instructions, and Prompt Templates.
Can Primiso integrate with existing AI workflows?
Yes, Primiso integrates with existing AI workflows via an MCP server or public API, enabling AI tools to reference a single source of truth. It works with MCP-compatible clients like Claude Code, ChatGPT, Cursor, and Copilot.
Is my organization’s knowledge isolated from other organizations?
Yes, Primiso is fully multi-tenant. Every project’s resources belong to exactly one organization, and access is enforced by role-based permissions. One project cannot read another project’s knowledge unless it is explicitly shared.
What happens to a Resource before it’s published?
Before publication, every resource in Primiso keeps a full version history. Nothing is live for AI tools until an organization admin explicitly sets it as the Main version, ensuring governance and control over approved knowledge.
