Deterministically govern tool calls, escalation paths, and multi-step workflows - with full decision traces for debugging and fast iteration.
Built for agents or any intelligent system that proposes consequential actions.
Adoption Path
Three phases from first event to full automation. Each phase delivers standalone value.
Phase 1
Instrument key events for immediate observability and audit trail. No rules required — just structured facts flowing into Memrail.
Phase 2
Add state and tags to decision points for richer rule conditions. Your events gain meaning through structured context.
Phase 3
Add rules that execute tools, shape context and trigger workflows. Full automation with safety controls, lifecycle management, and rollback.
Integration Patterns
Choose the pattern that matches your architecture. All three can coexist in the same system.
Surface key decision moments in your application as explicit, governed invoke points. Wherever your system asks “what should happen?”, Memrail evaluates context, applies your decision logic, and deterministically resolves the outcome before execution proceeds.
Decision points can live anywhere — inside service layers, workflow steps, background jobs, forecasting pipelines, or agent loops. You elevate consequential decisions into first-class artifacts, instead of leaving them scattered across prompts, conditionals, and hidden logic.
This is the most direct integration pattern: a single invoke call at any point where decisions matter.
Invoke Memrail inside your agent's reasoning loop — at every step where the system proposes an action. Instead of allowing the agent to execute directly, each proposed tool call, handoff, or state transition is evaluated against your decision logic before execution proceeds.
At every iteration, Memrail receives the current context, deterministically resolves what should happen next, and returns prescribed actions with a full trace. The loop continues — but authority remains explicit and reproducible at each turn.
This pattern gives you fine-grained, step-level control over multi-step autonomous behavior without modifying the model itself.
Attach Memrail to your event stream and evaluate decisions as state changes occur. When events are emitted — user actions, system signals, model outputs, or data updates — Memrail evaluates the structured context and deterministically resolves the appropriate response.
Rules fire asynchronously based on event patterns, triggering authorized actions, escalations, or workflow transitions. This pattern is ideal for reactive systems where timing, state, and history shape what should happen next.
Authority is not embedded in the event handler — it is resolved explicitly through the decision plane.
Core Concepts
Six concepts that define how Memrail governs autonomous behavior.
Documentation
Developer Guide, SDK reference, trigger language specification, API reference, and integration examples — all available with approved access.
Join the waitlist. We'll notify you as soon as access opens.