# Agenta vs PromptMage Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. PromptMage records 0 monthly visits with 0% growth and Free pricing. | Metric | [Agenta](https://openaitools.app/tool/agenta) | [PromptMage](https://openaitools.app/tool/promptmage) | | :--- | :--- | :--- | | Website URL | https://www.agenta.ai | https://promptmage.io | | Categories | AI Developer Tools, Prompt Engineering, Large Language Models (LLMs), AI Agent | AI Developer Tools, Large Language Models (LLMs), Prompt Engineering, AI Workflow | | Pricing Model | Freemium | Free | | Monthly Visits | 45,760 | 0 | | MoM Growth Rate | +29.5% | 0% | | Primary Market | United States | Global | | Direct Visits | 17,206 | 0 | | Review Score | 4.4 | 4.3 | | Saved Count | 0 | 0 | | 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) ## PromptMage PromptMage is an open-source Python framework built to simplify the development of complex, multi-step applications powered by large language models. Rather than treating prompts as throwaway strings scattered through code, it makes prompts first-class citizens with built-in version control, so teams can track changes, compare iterations, and collaborate on the exact wording that drives their application. The framework centers on a workflow that mirrors how good LLM apps actually get built. You define and iterate on prompts inside an integrated playground, evaluate them with manual and automatic testing, and then expose the resulting logic through an automatically generated FastAPI backend. That combination means the same artifact you prototype in is the one you deploy, cutting the drift between experimentation and production. PromptMage is designed as a self-hosted solution, which suits teams that want prompt and data handling to stay within their own infrastructure. It is aimed at both small teams and larger enterprises, and the project positions itself as a pragmatic answer to the gap in LLM workflow management. Because it is self-hosted and open source, there is no per-seat fee for the framework itself, though the LLM providers your application calls are billed separately. The project documentation carries an explicit warning that PromptMage is in alpha state and under active development, so APIs and features may change at any time. **Pricing & Plans:** Free and open source. PromptMage is a self-hosted framework with no listed subscription or per-seat pricing; you pay only for the LLM APIs and infrastructure your application uses. - **Integrated version control for prompts:** Treat prompts as first-class artifacts with built-in versioning, so you can track how each prompt evolves and collaborate with teammates without losing earlier iterations. - **Interactive prompt playground:** Test, compare, and refine prompts in an intuitive playground built into your workflow, enabling rapid iteration rather than ad-hoc copy-paste testing. - **Auto-generated FastAPI API:** Prompts and workflows defined in PromptMage are exposed through an automatically generated FastAPI backend for straightforward integration and deployment. - **Evaluation and testing mode:** Assess prompt quality with manual and automatic testing before shipping, so you know how a change affects output reliability across scenarios. - **Self-hosted deployment:** Run the whole framework on your own laptop or server, keeping prompts, workflows, and data inside infrastructure you control. - **Typed, Pythonic building:** Type hints are used throughout for automatic inference and validation, reducing boilerplate when composing multi-step LLM logic. **Strengths:** Free and open source, with no vendor lock-in; Self-hosted, so prompts and data stay in your own infrastructure; Bundles version control, a playground, testing, and API generation in one framework; FastAPI auto-generation removes boilerplate between prototype and deployment **Limitations:** Explicitly labeled alpha, so the API and features may change without notice; Self-hosted only — you need to run and maintain the server yourself; Requires Python and LLM API experience to get real value; Documentation, while solid, is still maturing alongside the framework [Profile (Markdown)](https://openaitools.app/tool/promptmage.md) ## Frequently Asked Questions ### How do Agenta and PromptMage compare in monthly traffic? Agenta has 45,760 monthly visits, while PromptMage 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%; PromptMage has 0%. ### 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. PromptMage: Free. Free and open source. PromptMage is a self-hosted framework with no listed subscription or per-seat pricing; you pay only for the LLM APIs and infrastructure your application uses. ## 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 | [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 | [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) | | 4 | [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) | | 5 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) | | 6 | [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) | | 7 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) | | 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) | | 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) | | 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) | --- Source: https://openaitools.app/compare/agenta-vs-promptmage More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)