AssemblyAI
Audio intelligence APIs for transcription, streaming speech, speaker labeling, and voice-agent applications.
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187 tools
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Deepgram
Speech-to-text, text-to-speech, and voice-agent APIs for applications that process or generate spoken audio.
Modal
Run Python functions, model inference, and GPU jobs on serverless infrastructure that scales with demand.
Fireworks AI
Host and call open models through an inference platform with serverless APIs, dedicated deployments, and tuning options.
Cloudflare Workers AI
Run supported AI models through Cloudflare’s serverless GPU network from Workers or the Cloudflare API.
Google Vertex AI
Build and operate AI applications on Google Cloud with Gemini, Model Garden, tuning, evaluation, and managed deployment services.
Microsoft Foundry
Microsoft’s environment for selecting, deploying, evaluating, and governing models and AI agents on Azure.
Amazon Bedrock
Use foundation models from multiple providers through AWS, with managed knowledge, agent, and governance services.
Langflow
A Python-based visual builder for AI applications, agents, retrieval flows, and MCP-connected tools.
Flowise
Visually assemble language-model chains, retrieval pipelines, and AI agents, then expose them through applications or APIs.
Dify
Build and deploy model-backed apps and agent workflows with a visual interface, knowledge sources, and API access.
Chroma
A developer-focused search database for vectors, documents, and metadata, with local and hosted deployment options.
Weaviate
Open-source and managed AI database for vector, keyword, and hybrid search across application data.
Qdrant
Vector search infrastructure for semantic retrieval, recommendation, and AI applications that need filtered nearest-neighbor search.
ComfyUI
Build repeatable image and video generation workflows by connecting models and processing steps in a node graph.
Open WebUI
A self-hosted interface for local and hosted models, with document search, tools, users, and shared AI workspaces.
LM Studio
Explore and run local language models in a desktop app, with an optional hosted-model service and a local developer endpoint.
Ollama
Run open models on your own computer, expose a local API, and connect them to coding tools without sending every prompt to a hosted service.