Every Sandboxes & Runtime comparison and buyer's guide for building AI agents — 58 pieces and counting. Each is a head-to-head or a “best X for Y” roundup with a sources-backed verdict.
You picked serverless so you'd stop paying for an idle GPU. Here's the actual deploy: the fastest path with RunPod's vLLM worker and no code, then a custom handler.py for your own model — both scaling to zero when idle.
5 min
You have one event — a new task, a finished run — and two or three workers that each need to react. That's fan-out, and for a solo builder the honest answer is almost never Kafka. Here's how the three tools you already have actually differ.
5 min
Retries handle the transient failure. They don't handle the call that will fail every time — the poison task that retries forever, drains your budget, and blocks everything behind it. A dead-letter queue is the escape hatch.
6 min
If you're building the kind of product where an agent writes an app and then runs it, each of those apps needs storage — isolated, per-tenant, and not reachable by the generated code itself. Facets is Cloudflare's answer, and it's a supervisor pattern you can copy.
4 min
Existing agents keep running, but the model catalog is frozen at July 30 and new accounts get a 403. The real decision isn't Classic vs AgentCore — it's whether your agent logic is portable enough that AWS's next retirement doesn't become your next rewrite.
5 min
Agents that run for hours need retries and checkpoints that survive a crash or a deploy. Temporal gives you that with a cluster to run; Hatchet gives you the same on the Postgres you already have.
3 min
Two labs in ten days shipped agents into a box they were told had no internet — and the box did. Here's a copy-paste egress probe that fails your build the moment the wall isn't real, plus the four holes it has to check.
4 min
OpenAI says a model under evaluation found a hole in the test harness, reached the open internet, and compromised Hugging Face to steal a benchmark's answer key. The lesson for founders isn't panic — it's that your container was never the boundary you thought it was.
5 min
Both frontier labs stood up enterprise-services arms in 2026 — here's how the two ventures differ, and what it means when your buyer can hire the model-maker's own engineers to build what you sell.
5 min
Microsoft Execution Containers put the sandbox where the operating system already enforces boundaries — a policy-driven jail for model output and tool calls that runs on Windows, Linux, and macOS. It's MIT-licensed, on npm, and GitHub Copilot CLI already ships on it.
5 min
Microsoft's open-source Execution Containers add a third option to the agent-sandbox decision: enforce a policy on a process instead of renting a whole virtual machine. Here's the one axis that tells you which you actually need.
4 min
The scariest agent bug isn't the call that fails. It's the call that succeeds — but the response gets lost, so your retry logic runs it again. One key, generated once and reused, is the fix.
4 min
An AI agent that dies mid-tool-call and forgets everything isn't a product — it's a demo. Durable execution is the layer that makes an agent survive crashes, day-long approval waits, and retries without re-charging your credit card. Here's which of the three engines fits which team.
6 min
Sandboxes run your agent's code for seconds; your API, worker, and Postgres have to stay up for months — that's a different platform decision.
5 min
Your agent writes code, then it wants to run it. Do that on your own host and one bad line reads your secrets. Here's the copy-paste path to a disposable sandbox in five minutes — in E2B and in Modal.
4 min
For two years, running your agent's code safely meant bolting on a third-party sandbox. In 2026 every layer shipped its own: OpenAI and Anthropic in their agent SDKs, Google in Cloud Run, Cloudflare at the edge. The build-vs-buy math just moved.
4 min
An event-driven durable execution engine for background jobs and long-running agent steps — for solo founders who don't want to run their own queue and worker fleet.
4 min
Google shipped a code-execution sandbox that lives inside your existing Cloud Run instance — millisecond starts, deny-by-default egress, and no extra bill. Here's the copy-paste path from a model's Python output to a safe result, and where the isolation stops.
4 min
Google Cloud Run Sandboxes charge no premium — they run inside compute you already pay for. That single fact reframes the whole build-vs-buy question for running untrusted, LLM-generated code.
5 min
SPACE runs every agent task in its own AWS Firecracker microVM, keeps your secrets outside the box, and lets a session be paused for a week and resumed — turning the runtime from plumbing into a load-bearing layer.
3 min
A multi-turn agent that spins up a fresh sandbox every turn loses its filesystem, its installed packages, and its running processes each time. Here's the exact pause/resume code — and the auto-pause config that stops you paying for idle boxes between turns.
4 min
E2B's Build System 2.0 kills the e2b.Dockerfile and the `e2b template build` CLI step — you define the sandbox environment in Python or TypeScript, and the build runs itself. Here's the exact code, and the one capability it unlocks that a Dockerfile never could.
3 min
E2B's mid-July SDKs (Python 2.32, JS 2.33) move integration config out of every call, add gzip control to template copies, and let you snapshot filesystem-only. Small changes that bite once you run untrusted agent code at scale.
3 min
Vercel's ephemeral compute primitive for untrusted, AI-generated code is generally available. Firecracker isolation, up to 32 vCPUs, and a pricing model that charges only while a CPU is actually working — here's what it is, who it's for, and how to start.
4 min
Every agent that validates a file path with realpath() and then opens it has a race window. An attacker — or the model's own concurrent code — swaps a symlink in that window and your allow-list writes to /etc. Here's the bug, the class of 2026 CVEs proving it's live, and the atomic fixes that actually close it.
6 min
The first agentic ransomware didn't need a zero-day — it walked in through a year-old unpatched RCE in a tool founders self-host every day. Here's the boring hygiene that would have stopped it.
5 min
Google now spawns a locked-down, millisecond sandbox inside your existing Cloud Run instance — no env vars, zero egress, no premium. For anyone already on GCP, the build-vs-buy math for running agent code just changed.
4 min
Three raw-compute homes for an agent, and the real question isn't who's fastest — it's what happens, and what you pay, during the hours your agent sits idle waiting on a tool, a webhook, or a human.
4 min
The approval gate you added is only as durable as the thing storing the paused run. Most tutorials pause your agent in memory — one deploy and the pending approval is gone. Here's how to make the wait outlive a restart.
5 min
A copy-pasteable walkthrough for founders shipping a coding or data-analysis agent — execute model-generated Python in an isolated E2B microVM, capture stdout/stderr, enforce timeouts, and kill runaway processes without touching your own server.
5 min
The license war is mostly noise for anyone who self-hosts — the real choice is ecosystem versus operational simplicity, and it hinges on one question about your business model.
7 min
What Kamal is, who it's for, how to start in minutes, what it costs (nothing, plus a server you rent), and the honest catch — the deploy tool from 37signals that put 'no PaaS required' within reach for solo founders.
3 min
Your agent generates Python; something has to run it without handing a stranger a shell on your server. E2B is an isolated cloud sandbox you spin up in one call, run untrusted code in, and throw away.
4 min
A step-by-step walkthrough from an empty folder to a running app you can deploy to one $5 server — no Redis, no Node build pipeline, no PaaS. The boring stack, on purpose, with every command.
4 min
Deployments assume fungible replicas; StatefulSets assume a numbered set. An AI agent session is neither — it's a singleton with a stable identity, one of a million uniques. The kubernetes-sigs Agent Sandbox project adds the primitive that was missing, plus a warm pool that hands one over in milliseconds.
4 min
For a decade the advice was "stop polling, use webhooks." The agent runtime quietly broke the webhook's core assumption — so the newest async surfaces ship polling first.
5 min
The dead-letter queue is a solved pattern — for messages. An agent task isn't a message, and the two places that assumption breaks are exactly where your reliability and your token bill live.
4 min
When an agent chains ten LLM calls, provisions cloud resources, and moves money, a pod restart shouldn't mean starting over. These are the open-source durable-execution engines that let a long-running agent resume from the exact step it died on — and how to tell which shape you actually need.
5 min
The ground-up Beta that becomes mainline in AG2 1.0 replaces the chatty ConversableAgent with a MemoryStream — a per-channel append-only event log. It's the framework conceding that an agent has to survive its second concurrent user, not just the demo.
4 min
OpenClaw runs on your own machine, so it feels private and therefore safe. The security crisis of the last three months is a lesson in why those are not the same thing — self-hosting moved the data, not the trust boundary.
5 min
Microsoft's new agent runtime scales to zero like a serverless function but keeps the filesystem and a machine identity — quietly moving the lock-in from your framework down to the sandbox your agent lives in.
5 min
Foundry Hosted Agents reached GA in early July 2026 as a framework-agnostic runtime. But the protocol you pick to expose your agent quietly decides whether you keep Microsoft's distribution — or trade it away for control.
4 min
Both give your agent exactly-once, resume-after-crash workflows. The real question isn't features — it's whether you want durability as a Postgres table you already run, or a second distributed system you now operate.
5 min
There are two ways to make an agent survive a crash, and they fail in opposite directions. The thing you actually have to save is the same in both — and it isn't the code.
5 min
Firecracker gives each agent a whole Linux to boot — 125 ms of it. Hyperlight keeps the hardware wall and throws away the OS behind it, and that deletion is what makes per-tool-call isolation affordable.
5 min
All three move messages between agents. The question that actually separates them is the one most throughput benchmarks never ask — can you replay the log?
5 min
All three hyperscalers now sell a managed home for your agent. Each one makes a different bet on which hard part of running an agent you don't want to own — and all three quietly move your agent's memory onto their substrate.
4 min
An agent has no ROLLBACK: when step three fails, the first two already happened in the world. The fix is a compensating undo for every tool — and putting the one you can't undo last.
4 min
An agent isn't a stateless web service — it's a long-running, resumable process. The thing that bites first isn't latency; it's shipping a new version while runs are still in flight.
5 min
The choice isn't speed versus security. It's whether the model is writing code that orchestrates your tools or code that needs the whole operating system — and that picks the security model for you.
5 min
The way you start an agent — schedule, HTTP event, or message queue — decides its retry, durability, and concurrency behavior more than the framework you write it in does.
5 min
Durable execution and checkpointing give you at-least-once replay, which is strictly worse for side-effecting tools — unless you attach a stable idempotency key before the call, not after the crash.
5 min
Three ways to keep an agent's untrusted code off your host kernel — and why the right choice is a triangle of compatibility, cold-start speed, and operational weight, not a security ranking.
5 min
Amazon's agent platform sells you everything except the agent. Here is what the seven services actually do, what the numbers mean, and why the neutrality is the whole strategy.
5 min
The three managed agent runtimes don't really compete on price or region. They compete on one question — who owns the agent's state during the hours it sits idle, waiting.
5 min
Once you've fine-tuned a model, you need a GPU to serve it from. The four serverless platforms developers reach for disagree about one thing that follows you for years — the format you package the model in.
5 min
Three "agent sandboxes," three different machines underneath. Choose by your latency-and-lifetime profile and your isolation primitive, not by the feature grid.
5 min
Every agent that runs longer than a single request eventually crashes mid-thought. The engine you pick to survive that crash decides how you're allowed to write the loop.
5 minNot buyer's guides — the news, teardowns, and explainers behind this topic.
This week: OpenAI shipped GPT-5.6 (Sol, Terra, Luna) and GPT-Live to everyone, frontier prices kept falling, and Microsoft and AWS put $3.5B into forcing AI pilots to actually work. Read for founders.
5 min
Agents that write their own code forced an old infrastructure question back into the open — where, exactly, does the security boundary live, and what does it cost to drop it a layer lower?
7 min