THE INLINE RELIABILITY LAYER FOR AI AGENTS

Replay every agent failure.Prevent the next one.

SafeRun is the inline reliability layer for AI agents in production. Capture every action, replay any failure frame by frame with full decision-time context, and turn each failure into a rule that prevents repeat incidents.

Get early access See how it works

Replay Understand Create Rule Prevent

Free during early access · No credit card required · Public demo available

agent.ts

TypeScript

import { saferun } from "@saferun/sdk";

const agent = saferun.wrap(myAgent, {
  policies: ["./policies.yaml"],
  onPause: async (a) => slack.notify("#ops-approvals", a),
});

REPLAY

run_01HQK…

UNDERSTAND

stripe.refund · $4,500

CREATE RULE

refund.amount > $100

PREVENT

next run · blocked

Compatibility

Works with the agent stack you already use

SafeRun sits in the decision path before agents touch real tools, APIs, and production systems.

AIOpenAI AgentsAIAnthropic ClaudeMCPLGLangGraphLCLangChainCrewAIVercel AI SDKJSNode.jsPyPythonTSTypeScriptFFastAPINNext.jsSStripeSFSalesforceZZendesk#SlackGHGitHubSBSupabase

Currently onboarding our first design partners — teams shipping AI agents in production.

Replay → Understand → Create Rule → Prevent

One loop. Every failed agent run.

Runtime vendors ship the perimeter. SafeRun ships the policy engine, the replay, and the learned prevention rules that run inside it — across LangGraph, OpenAI Agents SDK, Anthropic, Claude Managed Agents, and MCP.

Agent

LangGraph · OpenAI · Crew

→

SafeRun

replay · understand · rule · prevent

→

Tools

Stripe · Postgres · Salesforce

Replay

run_01HQK8P9X2

Capture the complete agent run.

Understand

stripe.refund · $4,500

Step through the failure like a debugger.

Create Rule

refund.amount > $100

Turn the failure into a prevention policy.

Prevent

next run · blocked

Block the same failure before it reaches production.

Replay → Understand → Create Rule → Prevent

Replay every failure. Prevent the next one.

Replay debugger

Replay any failed run step by step — input, model output, tool args, policy decision, latency, and cost. Resume from any step.

Prevention rules

Turn failures into versioned guardrails. Validated inline before any tool call executes — YAML or code, hot-reloaded.

Human-in-the-loop approvals

Pause risky actions and route to Slack, Linear, or PagerDuty. Approvers can edit args before resuming.

Loop & circuit breakers

Detect repeated tool calls and runaway API spend. Trip before the bill arrives.

Full action log

Every prompt, tool call, decision, and response — searchable, filterable, exportable.

p95 < 50ms inline overhead

Edge-deployed evaluator sits inline before every tool call. Your agents stay fast.

vs. Observability

Observability shows you what already broke. SafeRun stops it inline.

LangSmith, Langfuse, Helicone, Sentry, and Datadog help teams observe and debug AI systems. SafeRun sits inline before tool execution to prevent bad actions, break loops, and create replayable incident timelines.

Observability

After-the-fact traces and dashboards.

You learn the agent refunded $4,500 — after Stripe processed it.

SafeRun

Inline gate before the tool runs.

The refund becomes an approval request, routes to a human, and resumes from the exact step.

Pricing

Start free. Scale when you do.

Free

$0/mo

Try SafeRun on a single agent in development.

1 agent
Early-access usage included
7 days replay
Community support

Replay → Understand → Create Rule → Prevent.

One loop for every failed agent run. Three lines of SDK. Currently onboarding our first design partners.

Replay Understand Create Rule Prevent

Replay Create Rule