Capy
Orchestrate a fleet of cloud coding agents in the tools your team already uses.
If your team ships parallel work at scale, Capy's multi-agent orchestration is a real accelerator. The new Pro tiers start at $20/mo, and the model-agnostic approach plus BYOK gives flexibility. But it's cloud-only and usage-based credits mean costs scale with activity — make sure your team is ready to commit.
Verified 5d ago · liveness 70/100 · cite: rightaichoice.com/tools/capy
- Development teams shipping high volumes of code with multiple parallel workstreams
- Engineering managers who want to delegate and review AI-generated tasks at scale
- Platform teams managing multiple repos and automated workflows
- Startups needing to move fast with small teams (YC companies get $1,000 in credits)
- Solo beginners learning to code (steep learning curve, credit costs)
- Teams that need a traditional single-file text editor or local offline IDE
- Organizations requiring on-premise deployment (Capy is cloud-only)
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Skip Capy if you're a solo beginner or a non-technical user looking for a simple AI assistant or no-code builder, or if your organization requires on-premise deployment or has strict data residency—Capy is cloud-only.
Credits don't roll over—if you don't use your monthly allocation, you lose it, and extra credits cost 1:1 at $1 per $1 of usage.
Capy's Pro pricing ($20–$2,000/mo) fits individuals and small-to-mid teams that want parallel agents without a big upfront cost. Compared to hiring a junior engineer, it's cheap—but usage-based credits can scale beyond a flat subscription. Rivals like GitHub Copilot offer a simpler $10/mo for single-agent assistance, while Cursor Pro is $20/mo for one agent. Capy is pricier per seat but delivers parallel orchestration and automation that those tools don't match.
In short
Capy — Orchestrate a fleet of cloud coding agents in the tools your team already uses. Best for Development teams shipping high volumes of code with multiple parallel workstreams, Engineering managers who want to delegate and review AI-generated tasks at scale, Platform teams managing multiple repos and automated workflows. Free to start; paid plans from $2016/mo.
What's new in Capy
Checked 3 days agoAcross the latest 7 updates: 3 feature updates, 1 pricing change and 3 news mentions.
New Capy Pro Tiers: Subscriptions That Scale With You
Capy introduces new Pro subscription tiers, scaling with usage.
GPT-5.5 Is the First OpenAI Model We'd Actually Run as Captain.
Capy endorses GPT-5.5 as a viable Captain model for its AI agent.
The April Update: Captain Takes the Helm
April update: Captain becomes the primary AI agent role.
$1,000 in Capy Credits for Every YC Company
Capy offers $1,000 in credits to YC startups.
Capy Is SOC 2 Type II Certified
Capy achieves SOC 2 Type II compliance certification.
We Stress-Tested GPT-5.4 Before Launch. Here's What Happened.
Capy publishes stress-test findings on GPT-5.4 prior to launch.
Captain vs Build: Why We Split the AI Agent in Two
Capy explains the split of its AI agent into Captain and Build.
What people actually say about Capy — 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.
51 mentions across 4 sources (Reddit, Hacker News, App Store, Lemmy) · researched Jul 3, 2026.
- +Ambitious multi-agent orchestration with 25+ parallel agents
- +Model-agnostic: supports Claude, GPT, Gemini, Grok, Kimi, Qwen
- +Each agent runs in isolated VM with own git branch
- +Deep integrations with GitHub, Slack, Linear, Vercel
- +SOC 2 Type II certified with end-to-end encryption
- −No real user reviews or community feedback available
- −Product name clashes with unrelated popular apps
- −Only a single passing HN mention of actual usage
- −Pricing details not publicly visible or discussed
- −Unclear how well orchestration works at scale in practice
- • API key costs for models not included in subscription?
- • Potential per-agent or per-task overage fees
In users’ own words
“Put your best capybara images in this subreddit. Very gaming. I'll start with one: https://preview.redd.it/zhrivws3e0781.png?width=1000&format=png&auto=webp&s=07760b634d277283a43e516e9d0368237ae2b537”
Real posts from independent users, linked to the source — not testimonials we collected.
Viability Score
How well maintained and how widely used is Capy? 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
- Orchestrate 25+ AI agents in parallel, each in a sandboxed VM with isolated git branch
- Model-agnostic: supports Claude, GPT (including GPT-5.5), Gemini, and more
- Three agent roles: Captain (planning), Build (coding), Review (PR review)
- Captain agent is default for code review and issue triage (April 2026)
- Native GitHub integration: auto-branch, open PRs, review code
- Slack integration: create tasks from messages, sync context
- Linear integration: sync issues and project updates
- Vercel integration: surface preview deployments
- Automation: trigger agents on Slack/GitHub events or cron schedule
- Background agents for scheduled security audits and code cleanup
- E2E testing with native computer use and browser use, with annotated videos
- Desktop application for macOS and Windows
- Multiplayer: tag teammates, share tasks, real-time collaboration
- Bring your own subscription: ChatGPT (Codex), GitHub Copilot, SuperGrok
- Infinite parallel threads and tasks on Pro plans
About Capy
Capy is a cloud platform for engineering teams that need to ship high volumes of code. Instead of one assistant, you coordinate fleets of parallel AI coding agents — each running in its own sandboxed VM with an isolated git branch — so dozens of tasks can move at once without context bleed. It's built for PR review, issue triage, migrations, refactors, and E2E testing, with native computer and browser use plus annotated videos. Work is organized around tasks and threads. You can triage a bug straight from a Slack message, have agents open PRs on GitHub, sync issues in Linear, and surface preview deployments via Vercel. Three agent roles divide the labor: Captain (planning), Build (coding), and Review (pull requests). As of April 2026, Captain is the default for code review and issue triage — a sign of how much orchestration has moved from human babysitting to agent self-management. Capy is model-agnostic, supporting Claude, GPT (including GPT-5.5), and Gemini. You can assign different models per job. Bring-your-own-subscription is a headline feature: connect ChatGPT (Codex), GitHub Copilot, or SuperGrok and run compatible models on your own plan instead of Capy credits. Automations trigger agents on Slack messages, GitHub comments, or cron schedules, turning security audits and code cleanup into background tasks. The platform is SOC 2 Type II certified (as of March 2026), with encryption in transit and at rest plus isolated execution environments. Desktop apps for macOS and Windows are available, and a free tier gets you started. Where single-agent tools like Cursor or GitHub Copilot operate one thread at a time, Capy shines when you need parallel workstreams and fleet coordination. It's a different model — more ops than editor.
Behind the Verdict
Most AI coding tools are single-agent: you ask, it does. Capy takes a different bet — that the real bottleneck on high-volume teams isn't one task, it's hundreds of them. So it gives you a fleet: Captain plans, Build codes, Review checks PRs, all running in parallel sandboxed VMs. That's the core value, and it's why we'd reach for Capy when the backlog is deep and the PR queue is the wall. The April 2026 shift, making Captain the default for code review and issue triage, tells you where the product is heading: less hand-holding, more delegation. Pair that with the new Pro tiers (from $20/mo, up to 15% bonus usage on higher tiers) and the cost ceiling becomes predictable for small teams. The model-agnostic approach — Claude, GPT, Gemini, plus BYOK on enterprise — means you're not locked into one provider's roadmap. The bring-your-own-subscription feature (ChatGPT Codex, Copilot, SuperGrok) is a nice cost lever: you pay your subscription, not Capy credits. Where it bites: it's cloud-only. If your compliance or security posture demands on-prem, this isn't your tool. Credits don't roll over, so unused monthly allocation is wasted — that's a real gotcha for irregular teams. And the learning curve is steeper than a text editor; you're orchestrating agents, not typing prompts. Solo beginners or teams that just need a simple AI pair programmer will find Capy overkill. Use the free tier to gauge whether your workflow actually benefits from parallel execution. If you're deciding between Capy and a single-agent tool like Cursor, think of it this way: Cursor is your driver, Capy is the dispatch office. If you only have one car, the office is wasted. But if you have a fleet — multiple repos, dozens of tickets, constant PRs — Capy's automation (Slack triggers, cron, GitHub
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Real-world workflow fit
Concrete scenarios for the personas Capy actually fits — and what changes day-one when you adopt it.
You want to clear a backlog of 50 GitHub issues. You paste the issue list into Capy, assign each to a Build agent, and let Captain plan the fixes. Agents create branches, write code, and open PRs. You review the PRs using the Review agent's comments, then merge quickly.
Outcome: Backlog cleared in days instead of weeks, with minimal manual coding.
You need to migrate a legacy service to a new API. You create a task in Capy describing the migration, and Captain breaks it into steps. Build agents handle the refactoring in parallel, and Review agent checks the diff for errors. E2E tests run automatically with browser use, catching regressions.
Outcome: Migration completed with fewer regressions and a documented trail of agent actions.
You get a Slack message from your teammate: '@Capy can you fix the sign-up bug?' Capy converts that into a task, spawns an agent that fixes the bug, runs tests, and opens a PR. You approve from Slack without leaving your flow.
Outcome: Bug fixed and deployed while you focus on other priorities.
Use Cases
- Automate bug fixes by assigning each issue to an agent that creates a branch, fixes the bug, and opens a PR for review.
- Generate a full careers page by describing requirements in a task; agents plan, build, and push the code.
- Parallelize frontend and backend feature work across multiple agents without merge conflicts using independent environments.
- Review and merge PRs faster by using Review agents to analyze diffs and leave comments.
- Integrate with Slack to turn a message from a teammate into a tracked task with its own agent and branch.
- Migrate infrastructure (e.g., server-action uploads to direct Supabase uploads) by delegating to an agent while you review.
- Run scheduled security audits and code cleanup as background agents.
- Execute end-to-end tests with computer/browser use and annotated videos.
Models Under the Hood
as of 2026-08-23
Limitations
- Capy is a cloud-based platform with no offline mode mentioned.
- Pricing is subscription-based with tiers from $20 to $2,000/month, and usage is metered with bonus usage on higher tiers.
- Enterprise features like BYOK and SSO are only available on custom Enterprise plans.
- Lower tiers include 3 seats, with additional seats at $10/seat/mo.
as of 2026-08-12
Verification history
We have re-verified Capy 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 Capy 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/mo
Capy Pro $20
$20/mo (or $16/mo annual)
Ideal for
Individual developers or tiny teams wanting to try parallel agents with a low monthly cost; includes $20 of usage per month.
What this tier adds
Starting paid tier; includes all agent roles, unlimited threads, and lets you bring your own ChatGPT/Copilot/SuperGrok subscription to save credits.
Capy Pro $100
$100/mo (or $80/mo annual)
Ideal for
Small teams that need more than $20 of monthly usage; includes $105 of usage (5% bonus) and 3 seats.
What this tier adds
Higher usage allowance and 5% bonus usage compared to the $20 tier; extra seats at $10/mo.
Capy Pro $500
$500/mo (or $400/mo annual)
Ideal for
Growing teams with substantial parallel workloads; includes $550 of usage (10% bonus) and 3 seats.
What this tier adds
Bigger usage package with a 10% bonus, up from 5% on the $100 tier.
Capy Pro $2,000
$2,000/mo (or $1,600/mo annual)
Ideal for
Large teams or orgs with heavy agent usage; includes $2,300 of usage (15% bonus) and 3 seats.
What this tier adds
Largest Pro tier with the highest bonus (15%) and most included usage; ideal for high-volume code generation.
Enterprise
Custom
Ideal for
Organizations needing security controls, custom environments, and dedicated support; custom pricing.
What this tier adds
Adds BYOK, SSO/SAML, audit logging, custom VM snapshots and sizes, and dedicated support—features not in Pro tiers.
Where the pricing makes sense
The company stage and team size where Capy's pricing actually pencils out — and where peers do it cheaper.
Capy's Pro pricing ($20–$2,000/mo) fits individuals and small-to-mid teams that want parallel agents without a big upfront cost. Compared to hiring a junior engineer, it's cheap—but usage-based credits can scale beyond a flat subscription. Rivals like GitHub Copilot offer a simpler $10/mo for single-agent assistance, while Cursor Pro is $20/mo for one agent. Capy is pricier per seat but delivers parallel orchestration and automation that those tools don't match.
Setup time & first value
How long it actually takes to get something useful out of Capy — broken out by persona, not the marketing-page minute.
Sign up and get started in under 5 minutes—connect GitHub, Slack, or Linear, and create your first task. Pro users can be productive within an hour. Enterprise setup with BYOK and SSO may take a day or two for configuration.
Switching to or from Capy
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Copilot: You can keep using GitHub Copilot as your model provider by connecting your subscription in Capy, so you get Copilot's coding on Capy's orchestration.
- →From Cursor: Import your existing tasks or simply start new tasks in Capy—there's no import tool, but you can manually recreate workflows and use the same models.
- ↗To GitHub Copilot: If you prefer a simpler single-agent workflow, you can cancel Capy and export your git branches/PRs—your code lives in your repos anyway.
- ↗To Cursor: You can still use Capy's agents to generate code and then work in Cursor—no lock-in since Capy doesn't store your code beyond the task context.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Capy
Common stack mates teams adopt alongside Capy, with the specific reason each pairing earns its keep.
Windsurf
Orchestrate fleets of local and cloud coding agents from one AI-native IDE.
OpenHands
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
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
Capy vs Locus Robotics
If you need to automate physical warehouse fulfillment—picking, putaway, replenishment—Locus Robotics is the proven choice with 2-3x productivity gains and deep WMS integrations. If you need to accelerate software development by orchestrating dozens of AI coding agents in parallel, Capy's multi-model approach and GitHub/Slack/Liner integration deliver unmatched throughput for engineering teams. They solve fundamentally different problems; pick based on whether your bottleneck is moving boxes or shipping code.
Capy vs Presto Voice
Presto Voice and Capy serve completely different domains: voice AI for QSR drive-thrus vs. multi-agent coding for dev teams. Pick Presto Voice if you run a chain of drive-thrus and want to automate orders with proven upselling ROI. Pick Capy if you lead a development team shipping code at scale and need parallel AI agents integrated with your workflow tools. There's no overlap — choose based on your industry.
Capy vs Truleo
These tools serve entirely different verticals. Truleo is purpose-built for law enforcement intelligence, connecting siloed data to automate lead generation and report writing. Capy is a multi-agent coding platform for development teams, offering parallel agents and model-agnostic orchestration. Your choice depends on your domain: policing or programming. Do not cross-shop them unless you need both, which is unlikely.
Alternatives to Capy
View allFrequently Asked Questions
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