# CompozyOS vs HumanLayer CompozyOS records 1,768 monthly visits with -38.2% month-over-month growth and Freemium, Contact for Pricing pricing. HumanLayer records 63,865 monthly visits with -33.4% growth and Freemium pricing. | Metric | [CompozyOS](https://openaitools.app/tool/compozy) | [HumanLayer](https://openaitools.app/tool/humanlayer) | | :--- | :--- | :--- | | Website URL | https://compozy.com | https://humanlayer.dev | | Categories | AI Agent, AI Workflow, AI Developer Tools, AI Task Management | AI Agent, AI API, AI Developer Tools, AI Workflow | | Pricing Model | Freemium, Contact for Pricing | Freemium | | Monthly Visits | 1,768 | 63,865 | | MoM Growth Rate | -38.2% | -33.4% | | Primary Market | Brazil | United States | | Direct Visits | 768 | 20,485 | | Review Score | 4.6 | 4.5 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## CompozyOS CompozyOS is built for developers who run several AI coding agents at once and lose track of them across terminals. Instead of juggling five prompts in five windows, you get a single control plane where every session lands in a clear state — Needs you, Working, Waiting, In review, or Done — and only the one requiring your decision stands out. It resells no model access: your own subscriptions and API keys stay yours, and the runtime just drives the CLIs you already have. The core idea is "always-on" agents. You give an agent a name, a face, and one main session per project; it reviews its work on a schedule in a hidden read-only check-in that costs no model call when there is nothing to report, then surfaces a single card summarizing what happened. Sources such as GitHub issues or approved scripts feed it work, and it can propose actions up to a daily limit you set. Sessions can delegate to subagents, wake on events like a pull request finishing its checks, and continue with a different agent CLI when one runs out. Beyond always-on agents, CompozyOS ships Loops (named contracts with a goal, a verification step, and a stop condition), Automations on schedules and signed webhooks, worktrees for parallel agents, a vault for secrets, MCP sign-in, and an extension marketplace. Everything is manageable from the web UI, the CLI, or HTTP, and the same job runs everywhere. **Pricing & Plans:** Free and open source under the MIT license (78 releases at time of review). Model access is not resold — you bring your own subscriptions or API keys. Enterprise and custom deployment options are available by contacting the team. - **One board for every agent session:** Sessions are grouped into Needs you, Working, Waiting, In review, and Done so you immediately see which agent is blocked on your decision. - **Always-on check-ins:** Agents review their project on a schedule in hidden read-only sessions, stay quiet when nothing changed, and report back in a single card. - **Loops with honest endings:** A Loop pairs a goal with a way to verify it and a stop; runs are iteration-capped and end as done, no-op, blocked, failed, exhausted, stalled, or canceled. - **Schedules, triggers, and webhooks:** Put agent work on a cron-like schedule, a runtime trigger, or a signed webhook, with every run recorded automatically. - **Extensible marketplace:** 15+ built-in agent integrations plus extensions, plugins, and MCP servers that share one marketplace, written in Go or TypeScript. **Strengths:** Runs the agent CLIs you already use rather than locking you into one vendor; Local-first and MIT-licensed, with your subscriptions and API keys staying yours; Always-on agents and Loops make unattended, verifiable work practical; Same jobs managed from the web UI, the CLI, or HTTP **Limitations:** Always-on check-ins require Claude, Codex, or OpenCode specifically; The feature set is broad (loops, extensions, MCP, automations) and takes time to learn; No Loops ship by default — you must write, fork, or install one [Profile (Markdown)](https://openaitools.app/tool/compozy.md) ## HumanLayer HumanLayer turned its human-in-the-loop roots into a full multiplayer coding agent IDE and cloud platform. Teams create Tasks that bundle agent sessions, artifacts such as research notes and design docs, and the code diffs agents produce, all in one workspace synchronised through the HumanLayer API. A local daemon runs many sessions in parallel on your machine, while cloud daemons keep long-running work going even after you close your laptop. The product's signature workflow is QRSPI (Questions, Research, Design, Structure, Plan, Implement), a six-phase process that forces agents to surface their assumptions before any code is written. Design documents become the interface to the work: humans and agents leave inline comments, resolve them, and the resulting decisions feed straight back into the implementation, so mistakes are caught before thousand-line diffs land. HumanLayer is deliberately composable. You can bring your own compute, development environment, and agent harness (it is widely used alongside Claude Code), or run the whole HumanLayer stack on your workstation or remote workers. Multiple daemons sync through the same API, giving you identical UI on web, desktop, and mobile. **Pricing & Plans:** Freemium with a free trial and paid team tiers; the CLI is installable via Homebrew and the core workflow can be tried before committing to a plan. - **Multiplayer Tasks:** Bundle agent sessions, artifacts, and worktrees into a shared Task that your whole team can open, comment on, and collaborate around. - **QRSPI structured workflow:** Six phases from clarifying Questions through Research, Design, Structure, and Plan to Implement, each with checkpoints your team can verify before more code is generated. - **Comment-driven design review:** Inline comments on versioned design docs let humans and agents negotiate the approach in real time, catching architectural mistakes before implementation. - **Local and cloud daemons:** A local daemon runs many sessions in parallel on your laptop, while cloud daemons handle long-running background work that survives closing your machine. - **Full session visibility:** Drill into every thinking message, subagent tool call, and code change from a single UI that stays consistent across web, desktop, and mobile. **Strengths:** Structured QRSPI workflow keeps engineers in control instead of outsourcing thinking to agents; Design docs and comments feed directly back into agent context, so decisions actually reach the code; Runs locally or in the cloud with consistent UI across web, desktop, and phone; Composable by design: bring your own model harness, compute, and dev environment **Limitations:** Geared toward engineering teams with substantial agent workloads, so solo casual users may find it heavy; The structured multi-phase workflow has a learning curve compared with ad-hoc prompting; Advanced cloud orchestration capabilities are most useful once you have a team collaborating on the same repo [Profile (Markdown)](https://openaitools.app/tool/humanlayer.md) ## Frequently Asked Questions ### How do CompozyOS and HumanLayer compare in monthly traffic? CompozyOS has 1,768 monthly visits, while HumanLayer has 63,865. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? CompozyOS has a month-over-month growth rate of -38.2%; HumanLayer has -33.4%. ### How does pricing compare? CompozyOS: Freemium, Contact for Pricing. Free and open source under the MIT license (78 releases at time of review). Model access is not resold — you bring your own subscriptions or API keys. Enterprise and custom deployment options are available by contacting the team. HumanLayer: Freemium. Freemium with a free trial and paid team tiers; the CLI is installable via Homebrew and the core workflow can be tried before committing to a plan. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) | | 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) | | 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 4 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) | | 5 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) | | 6 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) | | 7 | [Paperclip](https://openaitools.app/tool/paperclip-ing) | 533,830 | +56% | Free | Run a whole company of AI agents with org charts, goals and budgets | [.md](https://openaitools.app/tool/paperclip-ing.md) | | 8 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) | | 9 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) | | 10 | [OpenBot](https://openaitools.app/tool/openbot) | 145,308 | +2,617.1% | Freemium, Free, Contact for Pricing | Run a team of AI agents on your own computer | [.md](https://openaitools.app/tool/openbot.md) | --- Source: https://openaitools.app/compare/compozy-vs-humanlayer More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)