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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
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.
Google-owned hub for data scientists to find datasets, enter ML competitions, run notebooks, and learn.
Managed hosting for OpenClaw agents with 500+ models at zero markup, from the Kilo Code team, for devs avoiding self-hosting.
No public pricing
No public pricing
Free trial available
Free trial available
No public pricing
No public pricing
Free trial available
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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
- ✦Public dataset repository
- ✦Machine-learning competitions with prizes
- ✦Browser-based notebooks with free GPU/TPU
- ✦Micro-courses on data science topics
- ✦Community forums and shared code
- ✦One-click deployment and hosting of OpenClaw
- ✦500+ AI models via Kilo Gateway at 0% markup
- ✦No-CLI integrations for Telegram, Discord, Slack and GitHub
- ✦Independently audited security whitepaper
- ✦Managed infrastructure with auto-restart and monitoring
- ✦Firecracker VM isolation
- ✦Enterprise controls: SSO/OIDC, SCIM, centralized billing
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →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
- →Practicing and benchmarking ML models
- →Finding datasets for analysis
- →Competing in predictive-modeling contests
- →Learning data science skills
- →Sharing reproducible notebooks
- →Running an OpenClaw agent without managing servers
- →Connecting chat and dev tools to an AI agent
- →Deploying agents with enterprise security controls