Multi Tenant Workspace Isolation With Rbac

via “multi-tenant workspace isolation with role-based access control”

Open-source LLM app platform — prompt IDE, RAG, agents, workflows, knowledge base management.

Unique: Implements logical tenant isolation at the database query level with role-based access control and support for multiple authentication methods (email, OAuth, SAML) — enabling SaaS platforms to offer Dify as a multi-tenant service with enterprise-grade security.

vs others: More comprehensive than simple user authentication because it includes workspace isolation and RBAC; more flexible than single-tenant deployments because multiple customers can share infrastructure; more secure than shared workspaces because tenant context is enforced at the query level.

via “multi-tenant workspace and role-based access control”

Visual LLM app builder with pre-built workflow templates.

Unique: Implements workspace-level resource isolation with a Tenant Model that partitions all data (apps, datasets, conversations) by workspace, enabling true multi-tenancy without cross-tenant data leakage. RBAC is enforced at API layer via middleware, preventing unauthorized access before business logic execution.

vs others: More tenant-aware than LangChain (which has no built-in multi-tenancy) and more flexible than Hugging Face Spaces (which isolates at the application level, not the data level).

via “multi-namespace and multi-cluster model serving with namespace isolation and rbac”

Kubernetes ML inference — serverless autoscaling, canary rollouts, multi-framework, Kubeflow.

Unique: Leverages Kubernetes RBAC and namespace isolation for multi-tenant model serving, enabling fine-grained access control without KServe-specific authorization logic; namespace-scoped endpoints prevent cross-tenant model access by default

vs others: More integrated with Kubernetes than custom authorization systems; simpler than external multi-tenancy solutions; leverages existing RBAC infrastructure

via “team-workspace-management-with-role-based-access-control”

Metadata store for ML experiments at scale.

Unique: Integrates RBAC with experiment-level operations (e.g., 'can promote models to production') rather than just workspace-level access, enabling fine-grained governance of model deployment decisions

vs others: Provides more granular permission control than Weights & Biases' team-level access and includes built-in audit logging unlike MLflow's minimal access control

via “multi-tenant workspace isolation with role-based access control”

Open-source no-code automation tool.

Unique: Implements workspace-level isolation with role-based access control using database row-level security, enabling multi-tenant deployments where each workspace is logically isolated without requiring separate database instances

vs others: More scalable than separate database instances per workspace because it uses a single database with row-level security, but requires careful configuration to ensure isolation is not bypassed

via “workspace isolation and multi-tenancy with role-based access control”

Unified analytics and AI platform — lakehouse, MLflow, Model Serving, Mosaic AI, Unity Catalog.

Unique: Provides workspace-level isolation with RBAC and SSO integration, enabling multi-tenant deployments and centralized user management. Unlike single-workspace platforms, Databricks supports multiple isolated workspaces with separate compute and data.

vs others: More flexible than single-workspace platforms because it supports multiple isolated environments; more integrated with enterprise identity systems than generic platforms because it supports SSO and SAML; more comprehensive than basic RBAC because it includes workspace isolation and audit logging.

via “workspace and organization management with role-based access control”

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Unique: Implements multi-tenant workspaces with role-based access control, organization-level settings (branding, SSO, billing), and email-based user invitations with expiring links — enabling team collaboration with fine-grained permission management

vs others: More flexible than single-user systems because it supports team collaboration; more secure than flat permission models because roles enforce least-privilege access

via “multi-tenant knowledge base management with access control and isolation”

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Unique: Implements tenant-scoped knowledge bases with storage-layer isolation and RBAC, enabling multiple teams or customers to share infrastructure while maintaining strict data separation. Supports tenant-specific LLM configurations for cost and capability optimization.

vs others: Provides true multi-tenancy with data isolation and RBAC, whereas simple multi-tenant systems without storage isolation risk data leakage and cannot enforce fine-grained access control.

via “multi-tenant workspace isolation with rbac”

Open-source LLMOps platform for prompt management and evaluation.

Unique: Implements workspace isolation at the database level, with separate data partitions per workspace and API-level access control enforcement. Supports multiple authentication methods (OIDC, SAML, local) without code changes via configuration.

vs others: More flexible than single-tenant systems because it supports multiple teams in a single deployment, reducing operational overhead for enterprises.

via “multi-tenant workspace isolation with rbac and resource sharing”

Developer platform for internal tools.

Unique: Workspace isolation enforced at API layer with workspace_id checks on every request; secrets encrypted per workspace and never exposed in logs or audit trails

vs others: More secure than Zapier's team model because data is logically isolated, and simpler than building multi-tenancy from scratch with row-level security

via “multi-tenant project isolation with rbac”

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Unique: Implements multi-tenancy at the database schema level with RBAC and audit logging built-in, avoiding the need for external identity management or log aggregation for compliance

vs others: More secure than single-tenant deployments because data isolation is enforced at the database level, while being simpler than building custom multi-tenancy infrastructure

via “workspace management and multi-tenancy”

Open-source ML lifecycle platform — experiment tracking, model registry, serving, LLM tracing.

Unique: Implements logical workspace isolation with workspace-level access control lists (ACLs) and permissions (admin, editor, viewer). Integrates with Databricks workspace authentication for enterprise deployments, enabling a single MLflow instance to serve multiple teams with data isolation.

vs others: More integrated with Databricks than standalone MLflow, and simpler than running separate MLflow instances per team, with workspace-level access control and shared infrastructure.

via “workspace and project isolation with multi-tenant support”

首家工业级全流程 AI 影视生产平台。Industry-first professional AI Agent platform for controllable film & video production. From shorts to live-action with Hollywood-standard workflows.

Unique: Implements workspace-level isolation with role-based access control and separate Asset Hub per workspace, enabling team collaboration while maintaining data isolation between workspaces

vs others: More secure than single-workspace systems because it isolates data between teams; more flexible than fixed role hierarchies because it allows custom role assignments per project

via “multi-tenant-content-isolation-and-access-control”

Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.

Unique: Combines DynamoDB partition key isolation (tenant ID as GSI prefix) with GraphQL resolver-level permission evaluation, allowing both database-level filtering and application-level RBAC without separate authorization service

vs others: Enforces tenant isolation at the storage layer (DynamoDB queries) rather than application layer only, preventing accidental data leakage from misconfigured resolvers, unlike Strapi or Contentful which rely on API-layer checks

via “multi-tenant isolation with role-based access control”

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

Unique: Implements RBAC with metadata isolation ensuring users only see permitted objects, combined with query-time enforcement of row-level and column-level security. Supports multiple authentication methods and integrates with external identity providers.

vs others: More comprehensive than basic database-level permissions and simpler than external authorization services (Okta, Auth0); metadata isolation prevents information leakage through error messages.

via “multi-tenant knowledge base isolation with organization-scoped access control”

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Unique: Implements tenant isolation through dependency injection and context propagation rather than separate deployments, reducing operational overhead while maintaining strict data boundaries. Organization context is enforced at the handler layer, making it difficult to accidentally leak cross-tenant data.

vs others: More cost-efficient than per-tenant deployments (single infrastructure, shared resources) while maintaining isolation guarantees comparable to dedicated instances through application-level enforcement.

via “centralized authentication and authorization with rbac and multi-tenancy”

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Unique: Implements RBAC at the gateway layer using a declarative permission matrix that maps (user/team, tool, server) tuples to allow/deny decisions, evaluated before requests reach downstream services. Integrates multi-tenancy through SessionRegistry that isolates session state per tenant, preventing cross-tenant tool access.

vs others: Provides centralized RBAC enforcement across all federated servers without requiring each server to implement its own auth logic, reducing security surface area and enabling consistent policy enforcement. Multi-tenant isolation is built into the session layer rather than bolted on as an afterthought.

via “multi-tenant workspace isolation with role-based access control”

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Unique: Implements workspace-scoped multi-tenancy with role-based access control and comprehensive audit logging, enabling SaaS deployment of MaxKB with complete logical data isolation and compliance-grade operation tracking. Workspace membership and permissions are enforced at the API layer via middleware.

vs others: Provides tighter multi-tenant isolation than single-instance LLM frameworks (LangChain, LlamaIndex) while maintaining simpler deployment than Kubernetes-based multi-instance approaches.

via “multi-tenant project and workspace isolation”

Open-source AI coworker, with memory

Unique: Implements project-level isolation within single Rowboat instance rather than requiring separate deployments, enabling efficient multi-team usage while maintaining data separation and configuration independence

vs others: Provides workspace isolation without separate deployments, reducing operational overhead compared to per-team instances while maintaining security boundaries

via “multi-tenant workspace isolation with role-based access control”

Production-ready platform for agentic workflow development.

Unique: Implements a Tenant Model with explicit Resource Isolation at the database schema level, ensuring data separation across workspaces. RBAC is enforced at middleware level before request handling, with support for multiple authentication methods (API keys, OAuth, SAML) through pluggable auth providers.

vs others: More secure than application-level tenancy by isolating data at the database schema level, and more flexible than single-tenant deployments by supporting workspace-level resource sharing and member management.