# LobeHub vs TinyHumans OpenHuman LobeHub records 654,548 monthly visits with -25% month-over-month growth and Freemium pricing. TinyHumans OpenHuman records 19,730 monthly visits with -36.1% growth and Free, Open Source pricing. | Metric | [LobeHub](https://openaitools.app/tool/lobehub) | [TinyHumans OpenHuman](https://openaitools.app/tool/tinyhumans) | | :--- | :--- | :--- | | Website URL | https://lobehub.com | https://tinyhumans.ai/openhuman | | Categories | AI Agent, AI Chatbot, AI Assistant, Large Language Models (LLMs) | AI Assistant, AI Chatbot, AI Productivity Tools | | Pricing Model | Freemium | Free, Open Source | | Monthly Visits | 654,548 | 19,730 | | MoM Growth Rate | -25% | -36.1% | | Primary Market | China | United States | | Direct Visits | 193,171 | 10,183 | | Review Score | 4.6 | 4.4 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## LobeHub LobeHub positions itself as a home for "super-agents" that behave less like a chatbot you prompt and more like a colleague who joins the team. You invite an agent into a channel such as Slack, Discord or Telegram, and it reads back through messages, docs and repositories to build context. From there it watches for requests that fit its remit, creates its own tasks when nobody tags it, and reports back in the original thread once something ships. The agents are built to work in parallel and across tools. LobeHub can plug in different IM apps, agent runtimes and models side by side, so work like writing code, drafting documentation or running releases can be delegated to the runtime best suited for it. Deliverables come with acceptance checks and evidence — a screenshot or short recording — so a human can accept, reject or send back a result before it is merged into the main workflow. The project also leans heavily on a self-evolving loop. Each practice an agent performs is scored, recurring mistakes are surfaced for a human to re-teach, and learned lessons take effect immediately. LobeHub is available as a hosted service plus a downloadable desktop client, and the core codebase is open source with a large GitHub following. **Pricing & Plans:** LobeHub offers a free tier to get started and paid plans for heavier private or team usage; the pricing page source flags custom or contact-for-pricing options for business needs. - **Agents that join your channels:** Invite an AI teammate into Slack, Discord, Telegram or other IM apps and let it read channel history, docs and code to get up to speed. - **Proactive task picking:** Agents can claim and create tasks they were never tagged in, based on permissions you set, then ping you only when something is ready. - **Parallel multi-model work:** Point an agent at different runtimes and models so several jobs — coding, docs, releases — progress at the same time. - **Evidence-based acceptance:** Every delivery arrives with checks and visual proof, and you accept or send it back before changes are merged. - **Self-evolving learning:** Agents track how often they get things right, flag recurring mistakes and turn your corrections into lessons that apply right away. **Strengths:** Agents work proactively instead of waiting for prompts; Connects multiple chat apps, runtimes and models in one workspace; Open-source core with an active community and large GitHub presence; Deliveries include evidence so humans can review before accepting **Limitations:** The bot-facing pages block automated access, which can frustrate scripted workflows; Setup and permission tuning take real effort before agents are useful; Best value comes from heavy chat-based team workflows, not solo casual use [Profile (Markdown)](https://openaitools.app/tool/lobehub.md) ## TinyHumans OpenHuman OpenHuman is a personal AI that runs as a native desktop app rather than a browser tab. Built by the team at TinyHumans, it is distributed as free, GPL-3.0 open source software for macOS, Windows, and Linux, and its source is available on GitHub. The premise is a personal agent that learns your context over time and can act across the tools you already use, instead of just answering questions in a chat window. Its core is a memory engine that decides what information to keep, how to compress it, and what to surface when an agent needs context. On top of that sits a workflows engine that orchestrates agents to automate tasks you describe, from a single step to multi-agent sequences. OpenHuman connects to a wide range of apps, MCP servers, and skills, giving agents the reach to work across Notion, Gmail, Slack, spreadsheets, and more. Privacy is central to the design: OpenHuman is local-first, meaning the memory it builds lives on your own machine, and because you choose the model provider, running local models keeps everything on your computer. The app uses a single TinyHumans key for managed inference, search, embeddings, and integrations, or you can bring your own providers and API keys. **Pricing & Plans:** OpenHuman is free and open source under GPL-3.0. A TinyHumans key unlocks managed inference, search, and integrations, but you can bring your own providers, including local models, instead. - **Local memory engine:** A memory engine decides what to keep, how to compress it, and what surfaces when an agent needs context, building a personal knowledge base that persists. - **Broad app and MCP integrations:** Connect a broad set of apps, MCP servers, and skills so agents can act across your tools rather than only replying in chat. - **Workflow orchestration:** Describe a simple workflow or build a complex one with multiple agents and steps to automate recurring tasks. - **Local-first and private:** The memory it builds about you lives on your machine, and you can run local models so data never leaves your computer. - **Fast, single-key setup:** A Rust core that starts a turn quickly, with a single TinyHumans key or your own provider keys. **Strengths:** Free and open source under GPL-3.0 with full source on GitHub; Local-first design keeps your memory and data on your machine; Broad integration support for apps, MCP servers, and skills; Bring your own provider, including models that run locally [Profile (Markdown)](https://openaitools.app/tool/tinyhumans.md) ## Frequently Asked Questions ### How do LobeHub and TinyHumans OpenHuman compare in monthly traffic? LobeHub has 654,548 monthly visits, while TinyHumans OpenHuman has 19,730. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? LobeHub has a month-over-month growth rate of -25%; TinyHumans OpenHuman has -36.1%. ### How does pricing compare? LobeHub: Freemium. LobeHub offers a free tier to get started and paid plans for heavier private or team usage; the pricing page source flags custom or contact-for-pricing options for business needs. TinyHumans OpenHuman: Free, Open Source. OpenHuman is free and open source under GPL-3.0. A TinyHumans key unlocks managed inference, search, and integrations, but you can bring your own providers, including local models, instead. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) | | 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) | | 3 | [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) | | 4 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) | | 5 | [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) | | 6 | [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) | | 7 | [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) | | 8 | [Raycast](https://openaitools.app/tool/raycast) | 710,581 | -24.5% | Freemium, Free Trial | An extendable launcher that puts your tools, AI, and automations one keystroke away | [.md](https://openaitools.app/tool/raycast.md) | | 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first open-source AI assistant for document chat, local RAG, and meeting transcription workflows. | [.md](https://openaitools.app/tool/anythingllm.md) | | 10 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Open-source AI platform uniting multiple LLM providers, custom agents, and tools in a customizable workspace. | [.md](https://openaitools.app/tool/librechat.md) | --- Source: https://openaitools.app/compare/lobehub-vs-tinyhumans More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)