# Capy

> For full-text content of all articles and blog posts, see https://capy.ai/llms-full.txt
> For product documentation and the API reference, see https://docs.capy.ai/llms.txt
> Capy is the best way to orchestrate coding agents across all your devices. Run them in the cloud or on your own computer with your own model subscriptions, and review everything they ship in one place.

Start a thread from the web app, the desktop app (macOS, Windows, and Linux), Slack, Linear, or the API. Capy makes the change, opens the pull request, fixes failing CI, and handles review feedback. A thread is a durable conversation stored on Capy's servers, so the agent keeps working after you close your laptop and wakes on its own when CI finishes, a review lands, or a PR merges. Large work splits into subagents that run in parallel. Models from Anthropic, OpenAI, Google, xAI, and other labs run on Capy credits, on a connected Codex, GitHub Copilot, or SuperGrok subscription, or on your own API keys and gateways.

Pricing: three self-serve plans per org, all with unlimited members and no seat fees. Capy Lite is $20/month ($20 of credits), Capy Pro is $100/month ($105 of credits, +5%), and Capy Max runs $200 to $1,000/month in $100 steps (110% of the price in credits, +10%). Annual billing is 20% off. A $1 seven-day Capy Lite intro is available on a verified card. Usage beyond included credits is pay-as-you-go. Enterprise plans are custom.

Founded in 2024. Backed by Y Combinator (F24). Based in San Francisco.

## Core Pages

- [Homepage](https://capy.ai): Main landing page with product overview, features, and pricing
- [Pricing](https://capy.ai/pricing): Capy Lite ($20/mo), Pro ($100/mo), Max ($200 to $1,000/mo), and Enterprise plans with feature comparison
- [Enterprise](https://capy.ai/enterprise): Enterprise features — SSO, audit logging, custom credit quotas
- [Security](https://capy.ai/security): SOC 2 Type II (trust.capy.ai), encryption, isolated environments, data handling
- [About](https://capy.ai/about): Team and company background
- [Open Source Program](https://capy.ai/open-source): Free Capy for OSS projects with 1000+ stars and OSI-approved license
- [Careers](https://capy.ai/careers): Open positions
- [Changelog](https://capy.ai/changelog): What shipped in each Capy release, newest first
- [Download](https://capy.ai/download): The Capy desktop app for macOS (Apple Silicon and Intel), Windows (x64), and Linux (x64 and arm64)

## Documentation

- [Docs home](https://docs.capy.ai/welcome): Welcome guide and product overview
- [Quickstart](https://docs.capy.ai/quickstart): Connect GitHub, launch a thread, review the change, open a pull request
- [Models & pricing](https://docs.capy.ai/models-and-pricing): Supported models, token rates, plans, BYOK, and machine time
- [Threads](https://docs.capy.ai/threads), [Subagents](https://docs.capy.ai/subagents), [Pull requests](https://docs.capy.ai/pull-requests), [Reviews](https://docs.capy.ai/review), [Automations](https://docs.capy.ai/automations)
- [Instructions](https://docs.capy.ai/instructions) and [Skills](https://docs.capy.ai/skills): Teach Capy repository conventions and repeatable workflows
- [Integrations](https://docs.capy.ai/integrations/github): GitHub, Slack, Linear, Vercel, Tailscale, and MCP
- [API reference](https://docs.capy.ai/api-reference/overview): Create threads, drive agents, manage automations, start reviews
- [Docs index for LLMs](https://docs.capy.ai/llms.txt): Every documentation page with a one-line summary

## Product Concepts

- Threads: A thread is a durable conversation with one Capy agent. It holds the conversation, the machines, the subagents, and the pull requests that came out of it. Start one from the web or desktop app, by mentioning @Capy in Slack, by delegating a Linear issue, or through the API.
- Subagents: A thread's agent can split work across subagents, full child agents with their own conversation and tools. A subagent shares its parent's machine or boots a fresh one, can open its own pull request, and reports its result back to the parent thread.
- Machines: You choose where each thread runs. A cloud thread runs on an isolated cloud VM with your repositories cloned, and project snapshots restore it in seconds. With the desktop app, a local thread works in a folder on your own computer, and you can start threads on that computer from your other devices while it is online.
- Pull requests: Capy opens the PR, fixes CI failures, responds to PR comments, and guides you through the diff.
- Review agent: A dedicated review agent reads each pull request's diff in a real checkout at the PR's head and posts findings as inline GitHub comments, each with a category, severity, and confidence.
- Automations: An automation is a stored prompt that runs on a schedule, a webhook, or a GitHub or Slack event. Each run is a normal Capy thread.
- Your own models: Connect a Codex, GitHub Copilot, or SuperGrok subscription, or an Anthropic, OpenAI, xAI, or Google API key or a gateway such as OpenRouter. Each model runs on the first connection that covers it, otherwise on Capy credits. Usage on your own subscription or key costs nothing from your Capy balance.
- Integrations: GitHub, Slack, Linear, Vercel, Tailscale, and any MCP server.

## Articles

- [What Is Agentic Coding? A Practical Guide for 2026](https://capy.ai/articles/agentic-coding): Learn how agentic coding works, how it differs from autocomplete and chat, where autonomous coding agents fit, and how to use them safely in a real software workflow.
- [What Are Background Coding Agents?](https://capy.ai/articles/background-coding-agents-guide): Learn how background coding agents differ from editor and CLI agents, how isolated cloud environments work, and when async development is the right fit.
- [Best Cloud Coding Agent Platforms in 2026](https://capy.ai/articles/best-cloud-coding-agents-2026): Compare the best cloud coding agents in 2026 across environments, parallelism, PR workflows, repo support, time limits, entry points, and pricing.
- [Codex Cloud vs Capy](https://capy.ai/articles/codex-cloud-vs-capy): Codex Cloud and Capy both run coding agents in isolated environments. Compare cloud execution, agent orchestration, model choice, reviews, integrations, automations, and pricing.
- [Agent Architecture for Software Development](https://capy.ai/articles/coding-agent-architecture): A technical guide to coding agent architecture: orchestration, isolated execution environments, tools, context management, verification, PR review, and parallel scheduling.
- [Running Coding Agents in Slack](https://capy.ai/articles/coding-agents-in-slack): Learn how coding agent Slack integrations work, compare Capy, Devin, GitHub Copilot, and Cursor, and set up a governed workflow for engineering tasks.
- [Conductor Build vs Capy](https://capy.ai/articles/conductor-build-vs-capy): Conductor Build is a local Mac app for parallel Claude Code and Codex agents. Capy is a hosted AI development platform. Here is how they compare.
- [Cursor alternative for cloud agents](https://capy.ai/articles/cursor-alternative): Looking for a Cursor alternative? Compare Cursor and Capy honestly across cloud agents, editor workflows, orchestration, models, review, and pricing.
- [Devin vs Capy: Autonomous Agent Architecture Compared](https://capy.ai/articles/devin-vs-capy): Devin and Capy both run software tasks autonomously. Compare managed agents, planning, isolated VMs, PR review, integrations, model choice, and pricing.
- [GitHub Copilot Coding Agent vs Capy](https://capy.ai/articles/github-copilot-coding-agent-vs-capy): GitHub Copilot cloud agent (formerly called Copilot Coding Agent) is a GitHub-native agent. Capy adds planning, isolated Build VMs, and a Review Agent loop.
- [Long-Running Coding Tasks](https://capy.ai/articles/long-running-coding-agents): A practical guide to long-running coding agents: persistent environments, context management, checkpoints, acceptance criteria, cost controls, and product tradeoffs.
- [From database filters to agent search: how AI is reinventing lead discovery](https://capy.ai/articles/database-filters-to-agent-search): Lead discovery is shifting from static database filters to agent-based live search. Here is where each model performs best and how to evaluate fit for your ICP.
- [Best AI Code Review Tools in 2026](https://capy.ai/articles/best-ai-code-review-tools-2026): AI code review has evolved from noisy bots to genuine quality gates. Here are the 7 best tools for automated PR review and code quality.
- [Best AI Coding Assistants in 2026: 10 Tools Compared](https://capy.ai/articles/best-ai-coding-agents-2026): Compare the best AI coding assistants and autonomous coding agents in 2026 by workflow, autonomy, environment, model support, review, and pricing.
- [Best Open-Source AI Coding Agents in 2026](https://capy.ai/articles/best-open-source-ai-coding-agents): Don't want vendor lock-in? Here are the best open-source AI coding agents in 2026 — plus how they compare to cloud platforms like Capy for parallel development.
- [Best Aider Alternatives in 2026](https://capy.ai/articles/best-aider-alternatives): Aider is great for terminal-based AI pair programming. But if you need parallelism, a GUI, or more automation, here are 5 alternatives worth trying.
- [Best CodeRabbit Alternatives in 2026](https://capy.ai/articles/best-coderabbit-alternatives): CodeRabbit is the go-to AI code review tool, but it's not the only option. Here are 5 alternatives for automated PR review in 2026.
- [Amp Code vs Capy: AI Coding Agent Comparison](https://capy.ai/articles/amp-code-vs-capy): Amp is Sourcegraph's CLI-based AI coding agent. Capy is a parallel AI development platform. Here's how they compare.
- [Best Roo Code Alternatives in 2026](https://capy.ai/articles/best-roo-code-alternatives): Looking for a Roo Code alternative? Here are 5 tools for AI-assisted coding — from parallel cloud IDEs to CLI agents — with honest pros and cons for each.
- [Aider vs Capy: CLI Tool or Parallel AI Platform?](https://capy.ai/articles/aider-vs-capy): Aider is a CLI AI coding tool. Capy is a parallel AI development platform. An honest comparison of two very different approaches.
- [CodeRabbit vs Capy: AI Code Review Compared](https://capy.ai/articles/coderabbit-vs-capy): CodeRabbit is a standalone AI code review tool. Capy has review built into its AI development platform. Here's how they compare for automated PR reviews.
- [1Code vs Capy: Parallel AI Agents, Two Different Approaches](https://capy.ai/articles/1code-vs-capy): Comparing 1Code and Capy for parallel AI coding — one wraps CLI agents in a desktop UI, the other is a cloud IDE. Here's how they differ.
- [Roo Code vs Capy: VS Code Extension or Parallel Cloud IDE?](https://capy.ai/articles/roo-code-vs-capy): Roo Code adds AI modes to your editor. Capy gives you a full parallel development platform. An honest comparison for developers choosing between them.

## Blog

- [Paper now works in Capy](https://capy.ai/blog/paper-integration): Capy now has a first-party Paper integration, built with the Paper team. Capy designs in your Paper files from a cloud machine, with the canvas live in the thread.
- [Connect Capy to your Tailscale tailnet](https://capy.ai/blog/tailscale-integration): Capy machines can join your Tailscale tailnet as ephemeral, tagged nodes, so agents reach private databases and internal services without public exposure.
- [New Capy Pro Tiers: Subscriptions That Scale With You](https://capy.ai/blog/new-capy-pro-tiers): Capy Pro now scales from $20/mo to $2,000/mo with bonus credits, a flat 20% off when you pay yearly, and one shared balance for your whole org.
- [GPT-5.5 Is the First OpenAI Model We'd Actually Run as Captain.](https://capy.ai/blog/gpt-5-5-captain-eval): GPT-5.5 is the fastest, most Captain-ready OpenAI model we have run in production. We've made it our new default for Captain.
- [The April Update: Captain Takes the Helm](https://capy.ai/blog/april-2026-update): Build mode is gone. Captain now orchestrates all tasks with thread numbers, smarter model selection, and CI awareness.
- [$1,000 in Capy Credits for Every YC Company](https://capy.ai/blog/yc-deal): Every Y Combinator company - current batches and alumni - gets $1,000 in Capy credits plus a free Review Agent.
- [Capy Is SOC 2 Type II Compliant](https://capy.ai/blog/capy-achieves-soc-2-type-ii): Capy has achieved SOC 2 Type II compliance. For AI agents that read your code and push commits on your behalf, independent security verification isn't a nice-to-have.
- [We Stress-Tested GPT-5.4 Before Launch. Here's What Happened.](https://capy.ai/blog/gpt-5-4-early-access): OpenAI gave us early access to GPT-5.4. We ran 65 sessions, 2,256 LLM calls, and our own AI agent wrote the evaluation report.
- [Captain vs Build: Why We Split the AI Agent in Two](https://capy.ai/blog/captain-vs-build): Most AI coding tools use one agent. We use two. Here's why separating planning from execution produces better code, faster.

## Integrations

- [GitHub](https://capy.ai/integrations/github): Native GitHub integration for branches, PRs, and code review
- [Slack](https://capy.ai/integrations/slack): Create tasks from messages, sync threads, and give agents Slack context
- [Linear](https://capy.ai/integrations/linear): Delegate Linear issues to Capy and follow agent activity in the issue
- [Vercel](https://capy.ai/integrations/vercel): Automatic preview deployments

## Optional

- [Terms of Service](https://capy.ai/terms-of-service)
- [Privacy Policy](https://capy.ai/privacy-policy)
- [Acceptable Use Policy](https://capy.ai/acceptable-use-policy)
- [Cookie Policy](https://capy.ai/cookie-policy)
- [Data Processing Addendum](https://capy.ai/data-processing-addendum)
- [Subprocessors](https://capy.ai/subprocessors)
- [YC Companies Program](https://capy.ai/yc): $1,000 in credits for YC companies
- [Solo Founders Deal](https://capy.ai/solo): $1,000 in credits for eligible Solo Founders members