# Agenta vs AgentLabs Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. AgentLabs records 0 monthly visits with -100% growth and Open Source / Cloud Hosting pricing. | Metric | [Agenta](https://openaitools.app/tool/agenta) | [AgentLabs](https://openaitools.app/tool/agentlabs) | | :--- | :--- | :--- | | Website URL | https://www.agenta.ai | https://agentlabs.dev | | Categories | AI Developer Tools, Prompt Engineering, Large Language Models (LLMs), AI Agent | AI Agent, AI Assistant, AI Developer Tools | | Pricing Model | Freemium | Open Source / Cloud Hosting | | Monthly Visits | 45,760 | 0 | | MoM Growth Rate | +29.5% | -100% | | Primary Market | United States | Global | | Direct Visits | 17,206 | 0 | | Review Score | 4.4 | 4.3 | | Saved Count | 0 | 2 | | Supported Platforms | Website | Website | ## Agenta Agenta positions itself as an open-source workspace where teams build AI agents and AI co-workers rather than one-off prompts. You can start from pre-built agent templates, give an agent access to models and tools, and run it from a chat surface, Slack or Telegram so the work happens where your team already communicates. Agents can browse, read and write files, and run scheduled automations that trigger from your connected systems. What sets Agenta apart is its focus on operational control. Agents connect to more than a thousand integrations and MCP servers, secrets live in a vault the agent can use but not read, and permissions and approval steps decide which actions run automatically and which need a human sign-off. Every run is logged with duration, token usage and cost, so you can trace why an agent produced a certain result and iterate on it with feedback. For engineering teams, Agenta ships as MIT-licensed software you can self-host with Docker Compose or Helm, keeping agents and data on your own infrastructure with no vendor lock-in. A managed cloud option is available for teams that prefer not to run the stack themselves, and both share the same workspace concepts of agents, skills, sessions and automations. **Pricing & Plans:** Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page. - **Agent and co-worker builder:** Assemble agents from templates or from scratch, give them models, skills and tools, and run them from a chat UI, Slack or Telegram. - **MCP connections and 1,000+ integrations:** Wire agents into Notion, GitHub, HubSpot, Slack, Linear, Drive and more over MCP, and swap tools or skills without rewriting the agent. - **Evaluations and run observability:** Score agent outputs, collect feedback and inspect every run with duration, token usage and cost logging so improvements are measurable. - **Guardrails, approvals and a secret vault:** Decide which actions run unattended and which require approval, while credentials stay in a vault your agent can use but cannot read. - **Self-hosting with MIT license:** Deploy the full workspace on your own infrastructure with Docker Compose or Helm charts and keep agents and data on-premises. **Strengths:** Open-source and MIT-licensed, so it can be self-hosted without vendor lock-in; Connects to over a thousand tools and MCP servers instead of a fixed integration list; Built-in evaluation and full run logging with token and cost tracking; Approval gates and a secret vault keep agents within human control **Limitations:** The workspace concept is broad, so new users need time to map it to their workflow; Self-hosting requires someone comfortable running containers and Helm charts; Some enterprise features are only fully explained after contacting sales [Profile (Markdown)](https://openaitools.app/tool/agenta.md) ## AgentLabs AgentLabs solves a problem every AI agent builder hits: the model and backend logic are only half the product, and the other half is a login flow, a chat interface, message persistence, streaming, analytics, and payments. AgentLabs packages that user-facing half as a service - "frontend as a service" - so developers can ship an agent to real users quickly instead of engineering a UI from scratch. The architecture is deliberately backend-agnostic. Your agent stays in your own infrastructure and is driven by AgentLabs' Python or TypeScript streaming SDKs, which push responses to the chat in real time and support rich content like markdown, images, files, charts, and interactive components. The bundled backoffice lets you create projects, configure auth methods, register agents, and manage end users, while the frontend supplies registration, multi-agent chat, and conversation persistence. AgentLabs is fully open source under Apache-2.0, with AgentLabs Inc. providing cloud hosting and dedicated enterprise support. You can start on the hosted version or self-host with the included docker-compose files, and the assistant can be embedded into any site as an iFrame. Typical applications include internal tools, customer-facing support agents, and prototypes that need production-grade auth and streaming without bespoke engineering. **Pricing & Plans:** Open source (Apache-2.0) with a hosted cloud version and enterprise support from AgentLabs Inc. Self-hosting with docker-compose is available for teams that prefer to run their own infrastructure. Check the official pricing page for current cloud plan details. - **Full-featured Chat as a Service:** Get a polished chat experience out of the box, with multi-agent support and rich message types including markdown, images, file transfer, charts, and interactive components. - **Built-in authentication and user management:** Manage projects, agents, and end users from a built-in backoffice console, with configurable basic auth methods for your users. - **Realtime and async streaming SDKs:** Python and TypeScript backend SDKs stream responses in real time between your backend and the user, so you never rebuild the transport layer. - **Backend agnostic by design:** Bring your own stack: AgentLabs works with any backend framework or tool, so you keep ownership of prompts, tools, and data flow. - **Cloud or self-hosted deployment:** Run the hosted cloud version or self-host with docker-compose, and embed the assistant in any website as an iFrame. **Strengths:** Removes the need to build chat UI, auth, persistence, and streaming yourself; Backend-agnostic: keep your agent logic and stack of choice; Realtime and async streaming SDKs in Python and TypeScript; Open source (Apache-2.0) with the option to self-host via docker-compose [Profile (Markdown)](https://openaitools.app/tool/agentlabs.md) ## Frequently Asked Questions ### How do Agenta and AgentLabs compare in monthly traffic? Agenta has 45,760 monthly visits, while AgentLabs has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Agenta has a month-over-month growth rate of +29.5%; AgentLabs has -100%. ### How does pricing compare? Agenta: Freemium. Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page. AgentLabs: Open Source / Cloud Hosting. Open source (Apache-2.0) with a hosted cloud version and enterprise support from AgentLabs Inc. Self-hosting with docker-compose is available for teams that prefer to run their own infrastructure. Check the official pricing page for current cloud plan details. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [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) | | 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.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 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) | | 5 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) | | 6 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) | | 7 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) | | 8 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.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 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) | --- Source: https://openaitools.app/compare/agenta-vs-agentlabs More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)