# Agenta vs Promptblocks Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. Promptblocks records 0 monthly visits with 0% growth and Freemium, Free pricing. | Metric | [Agenta](https://openaitools.app/tool/agenta) | [Promptblocks](https://openaitools.app/tool/promptblocks) | | :--- | :--- | :--- | | Website URL | https://www.agenta.ai | https://promptblocks.io | | Categories | AI Developer Tools, Prompt Engineering, Large Language Models (LLMs), AI Agent | Prompt Engineering, AI Prompt Generator, AI Agent | | Pricing Model | Freemium | 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 | 4.1 | | 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) ## Promptblocks Promptblocks describes itself as social prompt engineering. It is a web workspace where you write, store and run prompts against large language models, treating each prompt like a maintainable piece of engineering rather than a throwaway note. The editor understands prompt conventions, offers syntax highlighting and template variables, and lets you organise work into blocks you can reuse across projects. The social layer is what makes it different. Prompts can be published to a public index and forked by anyone, so you can start from a community block such as an assistant account manager, a document indexer or a code interpreter and adapt it to your own stack. That turns prompt design into something closer to open-source collaboration than solitary trial and error. The project is squarely aimed at developers building AI features. Its public roadmap lists mobile web support, shared function calling and improved search, and the site sits in an early access posture, so the platform is functional and evolving rather than frozen. **Pricing & Plans:** Freemium. A free tier covers authoring, browsing and forking prompts, with paid options positioned for heavier or team usage; check the site for current tiers. - **Prompt authoring workspace:** Write prompts in a rich editor with syntax awareness, template variables and structured formatting so complex prompts stay readable. - **Public and community prompt index:** Publish prompts in a public index or keep them private, and explore community submissions ranging from document indexers to code interpreters. - **Fork and remix blocks:** Duplicate and adapt other people's prompts to your own model and use case instead of starting from a blank page. - **Deploy into AI apps:** Organise prompts as reusable blocks that can be wired into your AI application pipeline alongside other components. - **Developer-friendly conventions:** An @-completion style authoring flow and pragma support that lets you compose prompts programmatically rather than by hand. **Strengths:** Purpose-built prompt editor instead of treating prompts as plain text notes; Community prompt index makes discovery and forking fast; Works well alongside an existing LLM application stack; Public roadmap shows active, transparent development **Limitations:** Still labelled early access, so some roadmap features (function calling, better search) are not finished; Thin public documentation and small community can make discovery harder; Aimed squarely at developers working with LLM prompt code rather than casual users; Web-first experience means little native mobile polish yet [Profile (Markdown)](https://openaitools.app/tool/promptblocks.md) ## Frequently Asked Questions ### How do Agenta and Promptblocks compare in monthly traffic? Agenta has 45,760 monthly visits, while Promptblocks 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%; Promptblocks 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. Promptblocks: Freemium, Free. Freemium. A free tier covers authoring, browsing and forking prompts, with paid options positioned for heavier or team usage; check the site for current tiers. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [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) | | 2 | [Prompt Cowboy](https://openaitools.app/tool/prompt-cowboy) | 1,130,450 | -22.4% | Freemium | Turn lazy prompts into great ones and get more out of any large language model | [.md](https://openaitools.app/tool/prompt-cowboy.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 | [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) | | 6 | [PrompTessor](https://openaitools.app/tool/promptessor) | 321,329 | +84.2% | Freemium | Analyze, optimize and organize prompts in one AI workspace | [.md](https://openaitools.app/tool/promptessor.md) | | 7 | [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) | | 8 | [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) | | 9 | [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) | | 10 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) | --- Source: https://openaitools.app/compare/agenta-vs-promptblocks More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)