THE COMPARISON / A CLOSER LOOK

ZeroLog vs Continue

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

ZeroLog

🔴Developer

Developer Tools

Swiss-hosted AI workspace that gives each user a persistent Linux container with root access for running Claude Code, Codex and its own ZeroLog Code agent.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Continue

🔴Developer

Developer Tools

Open-source AI coding assistant for VS Code and JetBrains — bring any model, any MCP server, and share reusable rules and agents across your team via Continue…

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Feature Comparison

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FeatureZeroLogContinue
CategoryDeveloper ToolsDeveloper Tools
Pricing Plans5 listed plans4 listed plans
Starting PriceFreeFree
Key Features
  • • Persistent Linux containers with root access
  • • Native Claude Code and Codex using your own vendor account
  • • ZeroLog Code agent with a large open-model catalogue
  • • Multi-model AI support including OpenAI, Claude, Gemini, and local models
  • • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
  • • MCP server connectivity for development toolchain integration

ZeroLog - Pros & Cons

Pros

  • ✓Persistent root containers suit long-running agent work
  • ✓Works with existing Claude and ChatGPT subscriptions
  • ✓Clear, published per-plan resource limits
  • ✓Swiss data storage for chats, files and disks

Cons

  • ✗Currently in private preview; access must be requested
  • ✗Prices are in Swiss francs only
  • ✗Model prompts still go to providers outside Switzerland (the site says the USA)

Continue - Pros & Cons

Pros

  • ✓Open-source assistant for VS Code and JetBrains. This directly supports the primary workflow.
  • ✓Bring-your-own-model: Anthropic, OpenAI, Ollama, local, any provider.
  • ✓First-class MCP client — any MCP server becomes callable tools.
  • ✓Continue Hub for sharing assistants, rules, prompts across a team.

Cons

  • ✗At least one tier requires a sales quote, preventing a complete public budget calculation.
  • ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
  • ✗MCP connectivity expands the permission surface and requires narrow scopes, approvals, logs, and credential rotation.
  • ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.

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