# Agno vs OpenServ Agno records 140,302 monthly visits with -3.3% month-over-month growth and Contact for Pricing, Free pricing. OpenServ records 5,329 monthly visits with -15% growth and Freemium pricing. | Metric | [Agno](https://openaitools.app/tool/agno) | [OpenServ](https://openaitools.app/tool/openserv) | | :--- | :--- | :--- | | Website URL | https://www.agno.com | https://openserv.ai | | Categories | AI Agent, AI Developer Tools, Large Language Models (LLMs), Open Source AI Models | AI Agent, Web3, Blockchain, AI Developer Tools | | Pricing Model | Contact for Pricing, Free | Freemium | | Monthly Visits | 140,302 | 5,329 | | MoM Growth Rate | -3.3% | -15% | | Primary Market | India | United States | | Direct Visits | 78,790 | 2,136 | | Review Score | 4.6 | 4.3 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## Agno Agno started life as a lightweight open-source library for building model-agnostic AI agents, and has grown into a full platform for shipping agents to production. The core is the Agno SDK, which offers three composable patterns — agents, teams and workflows — along with 100+ toolkits, memory, knowledge, structured I/O, guardrails, human-in-the-loop steps and evaluations. Because it is model-agnostic, it works with 30+ model providers and can also run agents built with other frameworks such as LangGraph, DSPy or the Claude SDK. Running agents reliably at scale is framed as a platform problem, so Agno pairs the SDK with AgentOS, a batteries-included runtime that turns agents into an API your product calls and an MCP server that assistants like ChatGPT and Claude can connect to. AgentOS adds durable execution, distributed state, session isolation, resumable streaming, JWT-based RBAC, audit logs, scheduling and deep observability, with a Control Plane UI for traces, sessions, evaluations and usage metrics. The distinguishing promise is control: agents deploy anywhere you can run a container — your cloud, on-premise or locally — and your data stays in your own database. The project has drawn a large open-source following (tens of thousands of GitHub stars) and is used by teams building support copilots, knowledge agents, research workflows and product-embedded assistants. **Pricing & Plans:** Agno offers a free open-source SDK, a free tier for getting started, and paid/enterprise plans (including an Enterprise option) for AgentOS, the Control Plane and commercial support. Exact plan pricing is quoted on request, so check the official pricing page for current numbers. - **Agno SDK with three patterns:** Compose agents, teams and workflows from simple primitives, with 100+ toolkits and reusable capabilities like memory, knowledge, structured output and guardrails. - **AgentOS runtime:** Turns agents into a production API and an MCP server with durable execution, distributed state, session isolation, resumable streaming, scheduling and JWT-based RBAC. - **Control Plane observability:** A mission-control UI for every agent, team and workflow run — traces, sessions, evaluations, token usage, audit logs, approvals and user roles. - **Model-agnostic by design:** Native support for 30+ model providers, plus the ability to run agents built with Agno, LangGraph, DSPy, the Claude SDK or your own code. - **Runs in your own cloud:** Deploy on any container platform — your cloud, on-premise or locally — and keep data in your own database while still powering a learning loop. **Strengths:** Open-source core with a large, active community and tens of thousands of GitHub stars; Model-agnostic: works across 30+ providers and can host agents built in other frameworks; Runs in your own cloud or on-premise, so data and infrastructure stay under your control; Batteries-included runtime and Control Plane cover the hard parts of stateful, distributed agents **Limitations:** The breadth of SDK, AgentOS and Control Plane can be a lot to learn for simple use cases; Commercial plan pricing is quote-based, so costs are harder to estimate up front; Getting full value out of observability and governance features assumes container/cloud deployment knowledge [Profile (Markdown)](https://openaitools.app/tool/agno.md) ## OpenServ OpenServ positions itself as the reliability layer for the agentic economy. Rather than asking teams to rebuild their AI stack, it offers a drop-in inference endpoint: developers point the base URL of the OpenAI or Anthropic SDK at OpenServ's API and route every reasoning call through SERV Reasoning. Because the steps are typed and validated, agent tasks become inspectable rather than opaque — you can see each decision, the cost attached to it, and where a workflow drifted. The platform is aimed at organizations where AI decisions must be defensible. Its public materials highlight production deployment in the UAE government, EPAA membership, and a research paper on arXiv, alongside compliance work toward SOC 2 and HIPAA as part of a published roadmap through 2027. A no-code builder sits next to the API for teams that want to assemble agents without writing orchestration code. OpenServ publishes a roadmap spanning graph sharding for complex workflows, SERV integration as a payment currency, and specialized enterprise models, with an ongoing hackathon series for builders. Pricing is not published on the homepage — teams get an API key and are routed through the docs for plan details. **Pricing & Plans:** Pricing is not published on the homepage. Access starts with an API key and the docs, and the platform references a free tier for bringing your own agent alongside paid enterprise plans. Check openserv.ai and the docs for current rates. - **Drop-in SDK compatibility:** Works with the OpenAI and Anthropic SDKs by changing only the base URL and API key, so existing prompts and code carry over without migration. - **SERV Reasoning reliability layer:** Routes every model call through typed, validated reasoning steps, which OpenServ reports as lower cost per 100 calls, fewer failures, and faster inference. - **Decision and cost auditing:** A dashboard tracks every decision, cost, and step an agent takes, making AI-driven outcomes traceable and easier to defend to stakeholders. - **No-code agent builder:** Teams can assemble and deploy agents without writing orchestration code, then graduate to the API when they need more control. - **Enterprise compliance roadmap:** Public roadmap tracks SOC 2 certification, HIPAA compliance, and graph sharding for scaling complex agent workflows. **Strengths:** Two-line integration keeps existing OpenAI and Anthropic SDK code and prompts intact; Decision-level auditing makes agent behavior inspectable and defensible; Publicly documented enterprise traction, including a government production deployment; Active product roadmap with graph sharding and specialized models **Limitations:** Pricing is not published on the homepage, so cost evaluation requires contacting the team; Adding a reasoning layer means another vendor in the inference path, which some teams will avoid [Profile (Markdown)](https://openaitools.app/tool/openserv.md) ## Frequently Asked Questions ### How do Agno and OpenServ compare in monthly traffic? Agno has 140,302 monthly visits, while OpenServ has 5,329. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Agno has a month-over-month growth rate of -3.3%; OpenServ has -15%. ### How does pricing compare? Agno: Contact for Pricing, Free. Agno offers a free open-source SDK, a free tier for getting started, and paid/enterprise plans (including an Enterprise option) for AgentOS, the Control Plane and commercial support. Exact plan pricing is quoted on request, so check the official pricing page for current numbers. OpenServ: Freemium. Pricing is not published on the homepage. Access starts with an API key and the docs, and the platform references a free tier for bringing your own agent alongside paid enterprise plans. Check openserv.ai and the docs for current rates. ## 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 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.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 | [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) | | 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder and deployment platform designed for creating custom enterprise AI agents and automated workflows. | [.md](https://openaitools.app/tool/mindstudio.md) | | 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source visual platform for building LLM apps and agentic workflows, trading Python code for a canvas UI. | [.md](https://openaitools.app/tool/dify-ai.md) | | 7 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Powerful data framework specialized in RAG and document ingestion, but less focused on general agent orchestration loops. | [.md](https://openaitools.app/tool/llamaindex.md) | | 8 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) | | 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) | | 10 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Build, automate and publish AI agents without starting from scratch | [.md](https://openaitools.app/tool/coze.md) | --- Source: https://openaitools.app/compare/agno-vs-openserv More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)