Identity & access
Identify users and services. Grant access to approved models and MCP tools.
Open source. Self-hosted. Independent by design.
Set who can access approved models and MCP tools, and apply configured PII policies to supported gateway traffic. See usage and measured costs in Studio while choosing your clients, model providers, and infrastructure. Cost visibility is not a hard spending limit.
Use the integrated apps or bring compatible clients with a configurable LLM endpoint.
Any frontend or app with a configurable LLM endpointConnect through a custom, OpenAI-compatible API URL.Route supported LLM and MCP traffic through your self-hosted gateway. Configure access and PII policies, then monitor usage and measured costs without tying your infrastructure to one client or provider.
Identify users and services. Grant access to approved models and MCP tools.
A shared AI endpoint, independent of your choice of client or provider.
Sensitive-data detection, policy handling, and attachment inspection.
Base controls, policy tools, request usage, and measured cost with configured pricing.
Latency, reliability, errors, and platform health.
Collect logs and investigate supported LLM/MCP requests.
Secret delivery, certificates, and private access.
Persistent state, caching, and storage for Base services.
GitOps reconciliation, ingress, and configuration reloads.
Neurwerk componentUpstream component
Connect approved models from external providers or your own private endpoints. You choose the destinations; Base applies configured policies to supported traffic routed through its gateway.
MCP servers are separate tool destinations, not LLM models.
External providers may receive data outside your infrastructure. Choose destinations and policies to suit your deployment.
Read the release, inspect the packages, connect a client.
Base repository: MIT. Third-party components retain their own licenses.