Runtm
Sandboxed cloud agents with guardrails, live visibility, and BYOK for every team.
Runtime is a strong pick for teams that want to adopt multiple coding agents without losing control. The governance features—approval gates, spend limits, and per-agent permissions—are exactly what production teams need. It's a pragmatic alternative to DIY or locked-in platforms, though the free tier is limited. For teams already standardized on one agent, a simpler tool may suffice; for multi-agent shops, Runtime earns its keep.
Verified 16h ago · liveness 73/100 · cite: rightaichoice.com/tools/runtm
- Engineering teams needing multi-agent governance and visibility
- Support teams automating ticket triage and refunds
- Platform teams rolling out safe, self-hosted agent infrastructure
- Product managers prototyping quickly with code agents
- Non-technical users expecting no-code, fully managed solutions
- Teams needing fully offline, air-gapped environments without self-hosting capability
- Small teams with zero budget for paid plans (free tier is very limited)
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Skip Runtime if you need a fully managed, no-code solution, if you require air-gapped offline operation without self-hosting, or if your team has zero budget for paid plans—the free tier supports only one session and 500 credits.
To move beyond the single-session free tier, you must pay $99 per seat per month, which adds up quickly for larger teams.
Runtime's pricing fits mid-size engineering teams that need governance across multiple agents. At $99/seat/month, it's pricier than DIY setups (which cost only API usage) but cheaper than many fully managed platforms that charge a premium for lock-in. Startups can get discounts by contacting the team.
In short
Runtm — Sandboxed cloud agents with guardrails, live visibility, and BYOK for every team. Best for Engineering teams needing multi-agent governance and visibility, Support teams automating ticket triage and refunds, Platform teams rolling out safe, self-hosted agent infrastructure. Free to start; paid plans from $99/mo.
What's new in Runtm
Checked todayAcross the latest 1 update: 1 launch.
What people actually say about Runtm — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
30 mentions across 3 sources (Hacker News, Bluesky, GitHub) · researched Jul 6, 2026.
- +Agent-agnostic: works with Claude Code, Cursor, Codex, Gemini CLI.
- +Bring your own API keys (BYOK) reduces vendor lock-in.
- +Sandboxed environments with pre-warmed snapshots boot quickly.
- +Mission Control dashboard provides live visibility and spend controls.
- +Permission gates and allowlists enable governance for non-engineers.
- −Signup bugs (OAuth failure) can block new account creation.
- −Broken Discord invite hinders community support access.
- −Very limited real-world usage data—reliability unproven.
- −No large-scale performance benchmarks available publicly.
- −Documentation may be incomplete given early stage.
- • AI provider API costs (BYOK) – not included in Runtime pricing.
- • Enterprise self-hosting may require internal infrastructure investment.
Viability Score
How well maintained and how widely used is Runtm? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Isolated cloud sandboxes for AI coding agents
- Pre-warmed environments via snapshots (boot ~2s)
- Agent-agnostic: supports Claude Code, Codex, Cursor, Gemini CLI, Copilot, Devin, OpenCode
- Bring your own API keys (BYOK) for AI providers
- Trigger agents from Slack, Teams, email, GitHub, or schedules
- Real-time collaboration and session handoff
- Mission Control dashboard for live visibility and monitoring
- Approval gates for sensitive actions (e.g., refunds over $500)
- Spend controls, network allowlists, and role-based access control
- Background agent runs with auto-pause and run storage
- Environment templates for monorepos and microservices
- Tool integration with any API, CLI, or MCP server
- Read-only database access scopes (Postgres, Snowflake, BigQuery)
About Runtm
Runtime is an open-source platform designed for teams that want to deploy AI coding agents safely. Instead of letting agents run loose on your local machine or in an unmanaged cloud, Runtime spins up isolated, pre-warmed sandboxes in seconds. Sessions can be triggered from Slack, tickets, email, or GitHub, and agents work end-to-end—investigating, fixing, and reporting back—with every step visible in the Mission Control dashboard. Runtime is deliberately agent-agnostic. It works with Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Devin, and OpenCode, and you bring your own API keys (BYOK), so you keep control over billing and can swap models freely. Specialized agents for support, engineering, and incident response can be created from a simple prompt, and the platform automatically picks the right tools—from Stripe to Postgres—and applies read-only or approval-gated permissions. Key features include pre-warmed environments via snapshot technology (typical boot time around 2 seconds), environment templates for monorepos and microservices, real-time collaboration with session handoff, and a system of record that logs every run—tool calls, duration, and cost. Sensitive actions require approval, and spend limits, allowlists, and audit logs (on Enterprise) give you the governance needed for production use. Runtime fits teams that are tired of juggling multiple agent environments or wary of lock-in from fully managed platforms. Compared to DIY setups or tools like Replit and GitHub Copilot Workspace, Runtime offers a middle path: full flexibility with built-in governance, and it is backed by Y Combinator's P26 batch.
Behind the Verdict
Runtime positions itself as the infrastructure layer for running AI agents safely, and it largely delivers. The core value proposition is that you don't have to trust an agent on your laptop or in an unmanaged cloud; instead, you get isolated sandboxes that boot in about two seconds thanks to snapshot technology. That speed is a real differentiator—agents can start working almost immediately, which matters when you're running them frequently. The agent-agnostic stance is a double-edged sword. On one hand, you avoid lock-in: you can use Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Devin, or OpenCode, and you bring your own API keys, so billing stays with your provider. On the other hand, you're not getting any proprietary intelligence; if you're expecting Runtime to make agents smarter, it won't—it just gives them a safe place to work. The governance model is the standout feature. Approvals for sensitive actions (like refunds over $500), spend controls, role-based access, and per-agent tool permissions with read-only database scopes are exactly what production teams need. The Mission Control dashboard gives you live visibility into every step, and the system of record logs all runs, which is great for auditing and debugging. Where Runtime stumbles is the free tier. At $0/month you get 500 credits and one session with a base sandbox (4 vCPU/4 GB)—that's enough to kick the tires but not enough for real work. The Teams plan at $99/seat/month is where you get unlimited sessions and users, but that price might be steep for small teams, especially when you're already paying for your own AI API keys. Enterprise features like SSO/SAML, SCIM, audit logs, and self-hosting are locked to the Custom plan, which is typical for this category but means security-conscious teams can't stay on Teams. Overall, Runtime is a pragmatic middle path for teams that want flexibility without losing control, and its YC pedigree (P26 batch) suggests it's a bet worth watching.
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Real-world workflow fit
Concrete scenarios for the personas Runtm actually fits — and what changes day-one when you adopt it.
Create a support agent that reads Zendesk tickets, checks Stripe payment events, and drafts refunds for approval. Trigger it from the #support Slack channel.
Outcome: Agent investigates a duplicate charge, confirms the cause, and proposes refunds—approval gate holds it until you sign off. Ticket resolved in minutes without escalating to engineering.
Set up a coding agent for the monorepo that runs in a sandbox with read-only access to Postgres and approval for writes. Trigger it via a GitHub issue.
Outcome: Agent clones the repo, runs tests, and proposes a fix—all within an isolated environment. Every step is logged, and the team can review before merging.
Prompt an agent to prototype a new feature in a sandbox with access to the staging environment. Watch the live session in Mission Control.
Outcome: Agent writes code, runs the app, and shows a preview. You can iterate quickly without waiting for a dev cycle, and the run is stored for handoff.
Use Cases
- Spin up a Claude Code session with full project context and monitor its work in real time
- Automate incident triage by deploying a specialized agent that investigates alerts and posts findings to Slack
- Enable product managers to prototype features by prompting a coding agent and reviewing live previews
- Set company-wide guardrails and spend limits to control agent usage across teams
- Run background agents that auto-pause after completing tasks like updating dependencies or refactoring code
- Collaborate with teammates in a shared session, handing off tasks between engineering and design
- Let finance query data in plain English via a private Slack agent with row-level scopes
Models Under the Hood
as of 2026-08-19
Limitations
- The free tier includes 500 credits and 1 session with base sandbox resources of 4 vCPU and 4 GB RAM, while the Teams plan starts at $99 per seat per month and offers unlimited sessions and users with 8 vCPU and 8 GB sandboxes.
- Enterprise plans provide custom sandboxes up to 120 GB RAM, SSO/SAML, SCIM, audit logs, and self-hosting options.
- Advanced features like shared templates, team activity dashboard, and role-based access control are available starting on the Teams plan, while SSO, audit logs, network allowlists, and dedicated support are Enterprise-only.
as of 2026-08-23
Verification history
We have re-verified Runtm 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Runtm tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Individuals exploring AI-powered development with a single session and 500 credits to test the platform.
What this tier adds
Starter tier: 500 credits, 1 session, supports Claude Code, Codex & OpenCode, base sandbox (4 vCPU/4 GB), community support.
Teams
$99/seat/month
Ideal for
Teams collaborating on production software that need unlimited sessions and users, real-time collaboration, and shared templates.
What this tier adds
Adds unlimited sessions and users, all coding agents, real-time collaboration, shared templates & secrets, spend controls, RBAC, and priority support.
Enterprise
Custom
Ideal for
Organizations with advanced security needs requiring self-hosting, SSO/SAML, audit logs, and custom sandbox sizes up to 120 GB RAM.
What this tier adds
Includes everything in Teams, plus self-host, custom sandboxes up to 120 GB RAM, SSO, SCIM, audit logs, SLA, and dedicated support engineer.
Where the pricing makes sense
The company stage and team size where Runtm's pricing actually pencils out — and where peers do it cheaper.
Runtime's pricing fits mid-size engineering teams that need governance across multiple agents. At $99/seat/month, it's pricier than DIY setups (which cost only API usage) but cheaper than many fully managed platforms that charge a premium for lock-in. Startups can get discounts by contacting the team.
Setup time & first value
How long it actually takes to get something useful out of Runtm — broken out by persona, not the marketing-page minute.
For a solo developer on the Free plan, you can start a sandbox in minutes: sign up, paste your API key, and create your first agent. Teams on the Teams plan can have a support agent running in under an hour, including connecting Slack, Zendesk, and Stripe. Enterprise self-hosting may take a few days to set up with the dedicated support engineer.
Switching to or from Runtm
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From DIY agent setups: Import your existing repos as environment templates and attach your own API keys—no Docker or Terraform needed.
- →From Replit or GitHub Copilot Workspace: Recreate your workflows as agents and trigger them from Slack or GitHub; you keep your existing code and tools.
- ↗To another sandbox provider: Export your environment templates and run logs from the dashboard; you keep your API keys and can switch providers.
- ↗To a fully managed platform: You may lose the flexibility of BYOK, but your agent definitions and tool integrations can be recreated.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Runtm
Common stack mates teams adopt alongside Runtm, with the specific reason each pairing earns its keep.
OpenHands
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
Windsurf
Orchestrate fleets of local and cloud coding agents from one AI-native IDE.
Ellipsis
Cloud coding agents defined as YAML in your GitHub repo — deploy with a merge, governed by spend caps and sandboxes.
Featured Head-to-Head Comparisons
Runtm vs Spider Cloud
Choose Spider Cloud if you need fast, low-cost web scraping and crawling for AI agents or RAG — its Rust engine and 99.9% success rate deliver reliable structured data. Choose Runtm if you run coding agents (Claude Code, Codex, etc.) and need secure, isolated sandboxes with monitoring and governance. They solve completely different problems: data ingestion vs. agent execution environments.
Runtm vs Voyage Ai
Choose Voyage AI if your priority is high-accuracy retrieval in RAG pipelines, especially for specialized domains like finance or law. Choose Runtm if you need a secure, auditable sandbox for running multiple AI coding agents with governance and collaboration features. They serve fundamentally different needs—Voyage is about embedding quality, Runtm is about agent infrastructure.
Runtm vs Temporal Ai
Choose Temporal AI if you need reliable, durable orchestration for AI agents and long-running workflows that survive failures. Choose Runtm if your priority is providing secure, fast, pre-warmed sandboxes where coding agents can develop and deploy without infrastructure overhead. Both are open-source but serve fundamentally different needs.
Replit Agent vs Runtm
For teams that need governed, multi-agent infrastructure with observability and self-hosting, Runtm is the clear choice. If you want to prototype and deploy full-stack apps from one prompt with minimal setup, Replit Agent is faster and more approachable. Choose based on whether your priority is control (Runtm) or speed (Replit Agent).
Alternatives to Runtm
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