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SafeRun
Reliability infrastructure for AI agents in production.
SafeRun is the AI agent platform engineers run in production. Replay every failed run step by step, block bad tool calls inline, route risky actions to humans, and ship agents your on-call won't dread. Works with LangGraph, CrewAI, OpenAI Assistants, AutoGen, and MCP.
Hey Product Hunt 👋
I'm Tidiane, founder of SafeRun.
Every team I've talked to running AI agents in production has the same story.
Their agent did something nobody could explain. The damage was already done by the time they noticed. The tools they had only logged the failure after the fact.
One engineer told me he spent an entire weekend rerunning an agent trying to reproduce one failure. Another watched his sales agent email the same lead twelve times in five minutes. A third issued a $4,500 refund because the customer asked nicely.
These aren't edge cases. This is what production AI agents do when they're given real tools and real money — and the current generation of monitoring tools tells you about it after the fact.
I'm building SafeRun to close that gap.
SafeRun sits inline between AI agents and the tools they call. It does four things:
→ Validates every tool call against your policies before execution
→ Breaks runaway loops and circuit-breaks on cost overruns
→ Escalates ambiguous actions to a human approval queue
→ Replays every agent decision frame by frame when something breaks
The killer feature, based on what engineers keep telling me, is Replay. Step through every input, model thought, tool argument, policy result, latency, and cost — for every decision the agent made. Rerun from any step with modified inputs. Like a flight recorder for AI agents.
We're integration-first: Python and TypeScript SDKs, with native support for LangGraph, OpenAI Agents SDK, Anthropic Claude Agent SDK, Vercel AI SDK, CrewAI, and Mastra. Or sit at the MCP layer for framework-agnostic coverage. Three lines of code to integrate.
Pricing starts free for solo developers (1 agent, 10K actions/month, forever), then scales per-agent for teams.
Two asks for the PH community:
1. If you're shipping AI agents to production, I'd love to have you in the early access batch — link is at the top of this page.
2. Tell me your worst AI agent failure story. Drop it in the comments below. The weirder, the better. I'm collecting them — the pattern across these stories is what shapes what gets built first.
Massive thanks to everyone who supported the launch and to the early users who shaped what SafeRun became. And to whoever's reading this in the middle of debugging an agent at 2am — you're exactly who this is for.
— Tidiane
Founder, SafeRun
saferun.dev
About SafeRun on Product Hunt
“Reliability infrastructure for AI agents in production.”
SafeRun was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #75 on the daily leaderboard. SafeRun is the AI agent platform engineers run in production. Replay every failed run step by step, block bad tool calls inline, route risky actions to humans, and ship agents your on-call won't dread. Works with LangGraph, CrewAI, OpenAI Assistants, AutoGen, and MCP.
On the analytics side, SafeRun competes within Developer Tools, Artificial Intelligence and Marketing automation — topics that collectively have 984.8k followers on Product Hunt. The dashboard above tracks how SafeRun performed against the three products that launched closest to it on the same day.
Who hunted SafeRun?
SafeRun was hunted by Tidiane D. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SafeRun including community comment highlights and product details, visit the product overview.