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Key capabilities: - Visual workflow builder with triggers, AI steps, and actions - AI copilot that generates workflows from plain language - 7 AI providers, 200+ models — choose per step - Built-in agent features: memory, tools, MCP support - 25+ verified integrations (Slack, GitHub, Notion, HubSpot, Jira, etc.) - Native observability and testing controls - Pay-as-you-go pricing, no subscriptions or per-seat fees
Hugging Face
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Tools like Zapier and Make are great for simple if-this-then-that automations but struggle when you need AI judgment in the loop. Pure AI agent builders give you flexibility but no guardrails. Spawnbase sits in the middle - structured workflows with AI steps where you actually need them, without per-seat pricing.
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Spawnbase lets you mix reliable, rule-based logic with AI reasoning in the same workflow. Most automation tools bolt AI on as an afterthought - Spawnbase was built for it from day one. You control exactly where AI makes decisions and where fixed logic runs, so workflows stay predictable where it matters and smart where it counts.
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Teams and solo builders who want to automate recurring work using AI - from ops and support leads to developers building internal tooling. Anyone who'd rather describe a task than build it from scratch.
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We built this to simplify 10x integrating AI into real business processes
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Based on our record, Hugging Face seems to be more popular. It has been mentiond 329 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Download from Hugging Face with a single command. Models come in different quantization levels (compression trade-offs). A 4-bit quantized version is roughly 4x smaller than the full-precision version, with minor quality loss. For most team use cases, the quantized versions are the practical choice because they fit in less GPU memory. - Source: dev.to / about 1 month ago
There are a couple of options. One good way to find inference providers for open models is through hugging face (https://huggingface.co). You can select a model and see which inference providers serve it. You can even access it through hugging face. If you just wanted to test a model or have super light work you can get some free access to alot of open source models through nvidia (https://build.nvidia.com). There... - Source: Hacker News / about 1 month ago
Both the base and instruct variants of Aether-7B-5Attn, plus a live interactive demo, are publicly available on Hugging Face. Search for VIDRAFT or Aether-7B-5Attn on huggingface.co to find the model cards and repository. - Source: dev.to / about 2 months ago
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / 3 months ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed — which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / 4 months ago
OpenAI - GPT-3 access without the wait
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Eden AI - Regrouping the best AI APIs for 10mn integration in your code
Sim Studio - Sim Studio is a powerful platform for building, testing, and optimizing agentic workflows. It provides developers with intuitive tools to design sophisticated agent-based applications through a visual interface.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
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