Cortex AI IDE vs Devgrex

Cortex AI IDE is an agentic coding workspace for planning changes, editing files across a project, running terminal commands, and checking results through reviewable diffs. Its workflow includes Git, grep, glob, semantic search, web search, LSP tools, and task tracking, with more than 250 skills for debugging, refactoring, documentation, SEO, and design reviews. Eight built-in AI provider integrations are listed, and Cortex Connect supports OpenAI-compatible endpoints such as Ollama, vLLM, Groq, and NVIDIA NIM. MCP servers can add external tools and services. Project memory and chat history are stored locally in each project. The free BYOK plan costs nothing; Pro Monthly costs $10 a month and Pro Yearly $80 a year. AI features require internet access and a supported API key. Native Windows and Linux builds are offered; macOS uses a source-build guide.

Devgrex is an AI-native development environment that combines an editor, autonomous agents, and model routing. Its Tab model offers context-aware multiline completions, partial acceptance, and ghost-text previews, with sub-100ms latency for local models. Agents can edit several files, run terminal commands in a sandbox, find and fix errors, and manage Git operations. Cloud Agents run on a cloud VM and can create GitHub or GitLab repositories, push branches, and open pull requests. Developers can use managed models from Anthropic, OpenAI, Google, and Moonshot, bring their own provider keys, or connect local models through Ollama and compatible servers. The environment also provides semantic codebase indexing and search, MCP connections to external tools, and compatibility with VS Code extensions, themes, keybindings, and settings. Privacy modes include local completions and offline operation, with automatic redaction before cloud requests. Its free plan includes local completions, agent chat, and offline mode. Devgrex was founded in 2025 and is based in Tallinn, Estonia.