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AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
AI or Not detects AI-generated and deepfake images, video, audio and text via API with a claimed 98.9% accuracy.
Voice-AI platform offering real-time text-to-speech, speech-to-text and voice-agent models through one API.
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
- ✦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
- ✦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
- ✦AI image, video, audio and text detection
- ✦Deepfake detection
- ✦Detection API with key included
- ✦Per-use credits across all modalities
- ✦Model-level breakdown of results
- ✦Enterprise/on-prem and reseller options
- ✦Sonic real-time text-to-speech
- ✦Ink speech-to-text
- ✦Line voice agents
- ✦Low-latency real-time output
- ✦Voice cloning
- ✦Single multilingual API
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →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
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Verify whether media is AI-generated
- →Screen content for deepfakes
- →Integrate AI detection into workflows via API
- →Building voice agents
- →Text-to-speech and transcription apps
- →Fraud-detection verification calls
- →Real-time customer support voice