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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Composio connects apps to LLMs and IDEs with 250+ MCP servers; high-traffic developer platform.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Enterprise-grade platform for AI and plagiarism detection across text, images and video, used by schools and Fortune 500s.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
No public pricing
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Managed MCP Server
- ✦MCP Integrations
- ✦Managed Auth
- ✦Improved tool accuracy
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦AI text, image and video detection
- ✦Deepfake detection
- ✦Plagiarism checker across 100+ languages
- ✦Combined AI and plagiarism report (AI Logic)
- ✦Content and text moderation
- ✦API, LMS and browser integrations
- ✦Google Docs add-on
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Connect Agents, LLMs, and IDEs with 250+ fully managed MCP servers.
- →Connect Agents with 15k+ tools through Composio’s Model Context Protocol (MCP) servers
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Verifying academic integrity
- →Detecting AI-generated content
- →Checking plagiarism across languages
- →Governing enterprise GenAI use
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps