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AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
AgentGPT/Reworkd automates web data extraction at scale; real adoption.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Automated web data extraction
- ✦AI-powered code generation
- ✦Self-healing scrapers
- ✦Deep analytics dashboard
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Extracting data from government regulation websites
- →Scraping company data from Indeed or Y Combinator
- →Monitoring changes on websites
- →Downloading regulation PDFs
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents