# Agent-Native vs Unbody

Agent-Native records 52,065 monthly visits with +90.7% month-over-month growth and Free pricing. Unbody records 178 monthly visits with -88.3% growth and Contact for Pricing, Free pricing.

| Metric | [Agent-Native](https://openaitools.app/tool/agent-native) | [Unbody](https://openaitools.app/tool/unbody) |
| :--- | :--- | :--- |
| Website URL | https://www.agent-native.com | https://unbody.io |
| Categories | AI Agent, AI App Builder, AI Developer Tools, AI Workflow | AI Developer Tools, AI App Builder, AI API, AI Chatbot |
| Pricing Model | Free | Contact for Pricing, Free |
| Monthly Visits | 52,065 | 178 |
| MoM Growth Rate | +90.7% | -88.3% |
| Primary Market | United States | India |
| Direct Visits | 22,560 | 70 |
| Review Score | 4.4 | 3.8 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Agent-Native

Agent-Native is an open-source framework for building what its authors call agentic applications: software where an AI agent and a human interface are first-class peers rather than an agent bolted onto an existing app. The central idea is that a capability should be defined once. When you declare an action with defineAction(), the same code is callable by the embedded agent, by React components in the UI, by external HTTP clients, and by integrations, so there is no drifting duplicate logic between the automation and the interface.

Around that core, the framework wires together the pieces most agent products end up rebuilding: shared application state so the agent knows what the user is viewing or editing, a shared PostgreSQL database as one source of truth for users and agents, persistent memory and reusable skills, scheduled and event-driven automations, multi-agent teams, and authentication with organizations plus resource-level permissions for viewing, commenting, editing and managing.

Agent-Native is deliberately stack-agnostic. It is TypeScript, open source, and designed so you bring your own LLM, your own database and your own hosting, keeping the application code in your own repository. The project also ships a set of open-source reference apps, including Design, Slides, Clips, Analytics, Calendar, Mail, Content, Assets and Forms, which you can use as-is or fork and customize, and you can start a new project from the CLI or build online through Builder.io.

**Pricing & Plans:** Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize.

- **One action, every surface:** Declare a capability once with defineAction() and it is automatically available to the agent, the React UI, HTTP clients and integrations, eliminating duplicated logic.
- **Shared state and data:** The agent sees what users are browsing, selecting and editing, and both read and write the same PostgreSQL database as a single source of truth.
- **Skills and memory:** Give agents reusable expertise, persistent context and long-term memory so they stop repeating mistakes and do not need re-explaining.
- **Automations and agent teams:** Run agent work on schedules or in response to events, and delegate to specialist agents within a workspace or across connected agents.
- **Auth, orgs and sharing built in:** Sign-in, user accounts, organization membership, and per-resource permissions for view, comment, edit and manage come wired into the framework.

**Strengths:** Capability is defined once and reused by agent, UI, APIs and integrations, which cuts duplication; Brings your own LLM, database and host, so there is no model or cloud lock-in; Open source TypeScript with application code kept in your repository; Batteries-included auth, organizations, permissions, memory, skills and automations

**Limitations:** Requires TypeScript and full-stack comfort; it is a framework, not a no-code builder; You are responsible for hosting, database operations and LLM costs; The ecosystem and third-party documentation are still relatively young

[Profile (Markdown)](https://openaitools.app/tool/agent-native.md)

## Unbody

Its projects page lists ytty, a native macOS terminal workspace built to keep developers oriented across parallel agent work; Sibyl, an AI companion for reproductive loss; and Adapt, a self-evolving AI memory that learns by attention rather than recall and is published as a TypeScript SDK.

Unbody positions this work around a simple idea — building products with a brain. That means treating memory, reasoning and adaptability as first-class infrastructure rather than bolting a chatbot onto existing software. The lab publishes its manifesto and blog alongside its projects, and takes partner and commercial work through direct contact.

If you arrived looking for the older headless AI stack, it is worth reading the current site and GitHub before assuming the same scope. The lab now emphasizes prototypes, SDKs and applied experiments more than a sign-up platform.

**Pricing & Plans:** Unbody does not publish self-serve pricing on its current site. The lab page, manifesto, projects and blog are public, with an SDK on GitHub, and commercial, partner or research engagement is handled by direct contact through the listed email.

- **Adaptive thinking tools:** The lab builds products that combine a model with persistent memory and reasoning, framed as giving software a brain.
- **Self-evolving AI memory:** Adapt is a TypeScript SDK for an AI memory layer that learns by attention instead of recall, available with source on GitHub.
- **Agent work terminal:** ytty is a native macOS terminal workspace designed to keep developers oriented while orchestrating multiple agents in parallel.
- **Applied AI companions:** Sibyl is an applied AI companion focused on reproductive loss, helping users integrate experiences that healthcare systems often leave unanswered.
- **Open research and partner work:** Unbody publishes a public manifesto and blog documenting its research direction, with partner prototypes alongside internal projects.

**Strengths:** Open research posture with a public manifesto, blog and GitHub repositories; Practical developer tooling such as a TypeScript SDK for an AI memory layer; Portfolio mixes developer tools with sensitive, real-world applied products; Partnership and commercial work can start with a direct conversation

**Limitations:** The public site no longer presents a productized, sign-up SaaS offering or public pricing; Older guides and third-party descriptions referencing a headless GraphQL AI stack no longer match the current site; Some projects are research experiments rather than supported commercial products; Documentation currently centers on specific SDKs and tools such as Adapt rather than a single unified platform

[Profile (Markdown)](https://openaitools.app/tool/unbody.md)

## Frequently Asked Questions

### How do Agent-Native and Unbody compare in monthly traffic?

Agent-Native has 52,065 monthly visits, while Unbody has 178. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent-Native has a month-over-month growth rate of +90.7%; Unbody has -88.3%.

### How does pricing compare?

Agent-Native: Free. Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize. Unbody: Contact for Pricing, Free. Unbody does not publish self-serve pricing on its current site. The lab page, manifesto, projects and blog are public, with an SDK on GitHub, and commercial, partner or research engagement is handled by direct contact through the listed email.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Describe your idea in chat and Lovable turns it into a working app or website | [.md](https://openaitools.app/tool/lovable.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 6 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 7 | [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) |
| 8 | [AppDeploy](https://openaitools.app/tool/appdeploy) | 829,468 | +106.6% | Free to try | Ship live apps straight from your AI chat | [.md](https://openaitools.app/tool/appdeploy.md) |
| 9 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 10 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |

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Source: https://openaitools.app/compare/agent-native-vs-unbody

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)