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AgentGPT/Reworkd automates web data extraction at scale; real adoption.
Managed service that finds and removes personal data from broker sites and public records, aimed at executives, families and firms.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
AI cloud offering model APIs, GPU instances, and serverless GPUs; high traffic.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Automated web data extraction
- ✦AI-powered code generation
- ✦Self-healing scrapers
- ✦Deep analytics dashboard
- ✦Personal data discovery across broker sites
- ✦Ongoing removal and re-exposure prevention
- ✦Continuous digital-footprint monitoring
- ✦Organization and executive protection plans
- ✦Included identity-theft insurance
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦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
- ✦Model APIs
- ✦GPU Instances
- ✦Serverless GPUs
- ✦Custom Model Deployment
- →Extracting data from government regulation websites
- →Scraping company data from Indeed or Y Combinator
- →Monitoring changes on websites
- →Downloading regulation PDFs
- →Removing personal info from the internet
- →Protecting executives from targeted attacks
- →Reducing family privacy exposure
- →Ongoing identity monitoring
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Deploy AI models for various applications using a simple API.
- →Scale AI applications with serverless GPUs.
- →Access high-performance GPUs for demanding workloads.
- →Deploy custom models with guaranteed performance and scalability.