Grounded investigations
Search a fixed local context index, process Alertmanager events, and keep operational evidence attached to a durable Run.
Open-source product by SysRoot
Akritas connects an OpenAI-compatible model to selected local context, authorized tools, and a validated change pipeline without giving the model direct access to production or workspaces.
Akritas treats model output and external data as untrusted. The model never becomes the authority for host-side actions.
The host selects context, authorizes tools, validates proposed changes, performs writes, and records results according to local policy.
Akritas is designed for bounded investigations and controlled file changes - not autonomous production access.
Search a fixed local context index, process Alertmanager events, and keep operational evidence attached to a durable Run.
Expose only explicitly authorized MCP tools. The host validates schemas, permissions, arguments, and timeouts before execution.
Prepare exact file replacements in isolation, run validators, review a host-generated diff, and require one-time approval before writing.
Inspect what the host actually executed through Run records and a bounded append-only audit trail, rather than trusting model claims.
Every capability remains behind the Akritas host throughout the Run lifecycle. Each step is bounded by local configuration and policy.
A person or Alertmanager submits bounded operational context.
The model analyzes only the context and tool schemas supplied by Akritas.
The host applies local policy before retrieval, tool calls, validation, or writes.
Results and execution evidence are attached to a Run for review.
The host keeps access, execution, approval, and audit authority outside the model boundary.
The documentation covers installation, model backends, MCP policy, local context, safe changes, Runs, and current limitations.
Open Akritas documentation