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Open-source autonomous DevOps agent that runs 24/7 on your infrastructure to auto-heal, cost-optimize, and secure production apps.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Autonomous 24/7 auto-healing of production incidents
- ✦Cost-watchdog scanning for idle cloud resources
- ✦Automatic renewal of expiring TLS certs and secrets
- ✦Interactive terminal UI plus autopilot background mode
- ✦Network sandbox (Warden) restricting agent actions via policy
- ✦Detection and substitution of 210+ secret types before LLM calls
- ✦Full session audit logging with rollback
- ✦Unified LLM gateway across Claude, GPT, Gemini and more
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- →Automatically resolving production incidents overnight
- →Finding and eliminating wasted cloud spend
- →Preventing outages from expiring certificates or secrets
- →Giving engineering teams a single billed gateway across multiple LLM providers
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud