Glia vs Inspector
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Inspector leads with 621 upvotes
Local-first AI memory bridge between browser chats and IDEs
Glia is an innovative, offline-capable memory bridge designed for developers and AI enthusiasts who rely on web-based chat platforms like ChatGPT and Claude. By functioning as a Chrome extension, it automatically saves your conversations locally, ensuring that valuable decisions and insights are preserved without relying on cloud storage. The native MCP server enables seamless querying of these saved chats directly from a shared SQLite database, integrating effortlessly with IDEs and developer workflows. This setup makes it especially appealing for those who prioritize privacy, offline access, and efficient retrieval of AI interactions. What sets Glia apart is its open-source nature and focus on local-first data management, giving users full control over their AI-generated data and enhancing productivity through quick, context-aware access to past conversations. It’s tailored for developers, researchers, and power users looking for a robust, privacy-conscious way to manage and leverage AI chat histories in their workflows.
Pros
- Offline capability ensures data privacy and accessibility without internet
- Open-source architecture allows customization and transparency
- Seamless integration with IDEs and developer tools
- Automatic local saving of chat conversations minimizes manual effort
- Centralized SQLite database for efficient data management
Cons
- Requires technical setup and familiarity with native server configuration
- Limited user interface features, mainly geared towards developers
- Vague information on ongoing support and community activity
Best for
- • Saving and organizing AI chat histories for research or project documentation
- • Querying past conversations directly from IDEs during coding sessions
- • Maintaining a privacy-focused local archive of AI interactions
- • Streamlining developer workflows by integrating chat data into programming environments
Pricing: Likely free and open-source, with potential costs related to hosting or configuring the native MCP server if needed. No explicit paid plans are indicated.
Figma for Claude Code
Inspector reimagines the design-to-code workflow by integrating visual editing directly with AI-powered code generation. Designed for developers, designers, and product teams, it allows users to click on UI elements within a design interface, make visual adjustments, and have those changes automatically reflected in the underlying codebase. The tool connects seamlessly with popular AI agents like Claude Code, Codex, and Cursor, streamlining the often tedious handoff process between design and development. Its unique approach eliminates the need for manual code edits or back-and-forth communication, enabling rapid prototyping and iteration. By bridging the gap between visual design and code, Inspector enhances productivity and fosters a more collaborative workflow, making it ideal for teams seeking to accelerate their development cycles with AI-powered precision.
Pros
- Intuitive visual interface for code adjustments
- Seamless integration with popular AI coding agents
- Reduces manual coding and design handoff time
- Supports rapid prototyping and iteration
- Streamlines collaboration between designers and developers
Cons
- May have limitations with complex UI components
- Dependent on AI accuracy, which can vary
- Learning curve for users unfamiliar with AI-assisted editing
Best for
- • Quick UI tweaks during product development
- • Design validation and iteration without extensive code changes
- • Bridging the gap between design and development teams
- • Rapid prototyping of new features
Pricing: Likely operates on a freemium model, offering basic features for free with paid plans providing additional integrations and advanced editing capabilities; exact pricing details are not publicly specified.