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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
Self-hosted cloud development environments and AI-agent governance, letting enterprises run coding agents on their own infrastructure.
AI bot that reviews GitHub pull requests, flagging bugs, security and performance issues with detailed, consistent feedback.
macOS video editor built for AI, letting agents like Claude edit your timeline and generating image/video/audio clips inline.
No public pricing
No public pricing
Free trial available
Free trial available
Free trial available
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦Self-hosted workspaces with desktop and web IDEs
- ✦Coder Agents run coding agents on isolated infrastructure
- ✦AI Governance gateway for LLM usage control
- ✦SSO (OpenID Connect) and role/group sync
- ✦Audit logging and resource quotas
- ✦Multi-organization access controls
- ✦High availability and workspace proxies
- ✦Automated AI reviews on GitHub PRs
- ✦Bug, security and performance detection
- ✦Detailed, consistent feedback
- ✦Interactive code-review tool for snippets
- ✦Multi-language explanations
- ✦Customizable review rules (Pro)
- ✦Self-host/custom LLM (Enterprise)
- ✦Multi-track video/audio/image/text timeline
- ✦Inline AI image, video and audio generation
- ✦MCP server for Claude, Cursor, Codex to edit timeline
- ✦Integrations with Kling, Seedance, Veo and more
- ✦Export to Premiere and DaVinci (XML)
- ✦Free editor, credit-based AI
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Standardize developer environments
- →Run AI coding agents securely on-prem
- →Enforce governance and compliance
- →Cut VDI costs
- →Speed up developer onboarding
- →Automate pull-request reviews
- →Catch issues before merge
- →Get plain-English code explanations
- →Keep review quality consistent
- →Editing video with AI assistance
- →Generating B-roll without leaving the editor
- →Mixing own footage with AI clips
- →Driving edits from AI agents via MCP