Devgrex

Devgrex is an AI-native development environment that combines a familiar editor with coding agents and flexible model routing. It fits developers who need both local or self-hosted models and hosted automation across repositories. The main appeal is breadth: inline assistance, multi-file agents, cloud tasks, integrations and privacy controls sit in one workspace.

Overview

Devgrex unifies editing, semantic indexing, terminal work and model access instead of limiting AI to autocomplete. Project-wide codebase search helps agents and developers work across an entire repository, while built-in terminal access supports command-driven workflows. Compatibility with VS Code extensions, themes, keybindings and settings makes it a sensible candidate for users with an established editor setup.

Model routing is unusually open. Managed options include Anthropic, OpenAI, Google and Moonshot, and BYOK works with every provider. For local operation, Devgrex connects to Ollama and OpenAI-compatible servers such as LM Studio, llama.cpp, vLLM, Jan and LocalAI. That flexibility suits teams balancing provider choice, cost and data handling, though configuration decisions become part of the user experience.

Key features

Completions and coding agents

The Tab model provides context-aware multiline suggestions, partial acceptance and ghost-text previews. With a local model it targets sub-100ms latency, making it particularly suitable for responsive inline work without a hosted completion round trip. Agent mode handles broader jobs: agents can edit multiple files, run terminal commands in a sandbox, detect and fix errors, and manage Git operations.

Cloud work and integrations

Cloud Agents run tasks on a cloud virtual machine. They can create GitHub or GitLab repositories, push branches and open pull requests, which is useful for delegating repository chores or longer-running changes. MCP support connects tools including Figma, Slack, databases, APIs, documentation servers, Jira and Confluence, extending agents beyond the codebase.

Privacy and deployment

Privacy modes range from Normal to Sensitive, which uses local completions, and Offline air-gapped operation. Automatic PII and secret redaction can run before cloud requests. API traffic uses TLS 1.2 or higher, account data is encrypted at rest, and Devgrex says its cloud API does not store source code or prompt content. Enterprise deployments add SAML 2.0 and OpenID Connect SSO, role-based access, audit logs, VPC deployment and air-gapped installations with local models.

Pricing

Devgrex uses a freemium model. The Free plan costs nothing and includes local completions, agent chat and offline mode. It is a strong fit for individuals evaluating local workflows or needing an air-gapped starting point, but the stated inclusions do not establish hosted-model or cloud-agent allowances.

There are no other published plan prices. Organizations needing enterprise identity, governance, VPC or air-gapped deployment should expect custom pricing and should confirm which capabilities and quotas apply to their intended setup.

Platforms

Devgrex supports API, Linux, macOS, self-hosted deployment, web and Windows. The mix suits distributed teams and developers who need to move between desktop, browser, server-hosted and offline environments.

Who it's for

Choose Devgrex if you want one environment for fast local completions, multi-file agent work, Git operations and model choice across managed and local providers. It is especially relevant to privacy-conscious developers, self-hosting teams and enterprises requiring SSO, auditability or air-gapped operation. Developers seeking only a lightweight hosted autocomplete tool may find its broader configuration and agent surface unnecessary.

Pros and cons

• Pros: local, BYOK and managed model options; sub-100ms local Tab latency; agents that edit files, run sandboxed commands and manage Git; cloud agents that can open repository pull requests; VS Code compatibility; offline and redaction controls; enterprise SSO, audit and deployment options.
• Cons: the free plan is centered on local completions, agent chat and offline mode, so its hosted workflow scope is unclear; model and server choice can require more setup; support is directed to community Discord and GitHub Issues rather than a stated dedicated channel.

Alternatives

For a broader consumer platform with Android and iOS apps, one live project and one background task on its free tier, choose Replit. Kiro suits users wanting a monthly free tier with 50 credits, open-weight models and Claude Sonnet 4.5, plus teams up to 500. Pick Qoder for limited free messages and completions with BYOK and a free trial.

Tesseract offers a free allowance with refills and AI included through the service. TRAE is aimed at users wanting 5,000 monthly autocomplete requests and two concurrent cloud tasks on its free plan. Zubvo provides 100 monthly credits, open source models and up to 2,000 tab completions. Google Antigravity IDE offers unlimited Tab completions and command requests for individuals, subject to basic weekly rate limits. ACLIDE is another freemium option with API, macOS, web and Windows support.

Browse the AI Code Editors list for more choices.

Verdict

Devgrex is a strong choice for developers and teams that want local or self-hosted models without giving up cloud agents, Git workflows and broad integrations. Its privacy modes and enterprise deployment controls strengthen the case for sensitive projects. Look elsewhere if you need clearly published hosted quotas and paid-plan terms before committing, because the free offer defines local and offline use more clearly than the wider service.