Contextberg Overview
Contextberg is a local-first memory application designed specifically for AI agents. It operates in the background to monitor your screen, inputs, and browsing activity, capturing the full context of your workflow. This context is then provided via the Model Context Protocol (MCP) directly to coding agents such as Claude Code, Cursor, and OpenClaw. By remembering what you have already done, Contextberg eliminates the need to re-explain tasks or past actions, allowing for seamless and continuous collaboration with AI.
How to use Contextberg
Installation is straightforward, requiring only two clicks with no account needed. Once installed, Contextberg runs silently in the background. It automatically connects to compatible AI agents like Cursor or Claude Code via an integrated MCP server—no configuration files are required. The captured context is automatically made available to these agents, allowing them to reference your recent activities and browser history in their responses.
Core Features of Contextberg
- Context Capture: Records screen activity, inputs, browser history, and interactions with supported AI agents (Claude Code, Cursor, GitHub Copilot, OpenClaw, LM Studio).
- Automatic Memory Generation: Distills daily work into three types of memory: detailed Activity Memory, summary Daily Memory, and long-term patterns of tools and habits.
- Local-First Architecture: Processes all data locally on your machine. Can achieve fully offline operation when paired with LM Studio.
- Smart Resumption ('Remember'): Automatically summarizes your last activity upon your return, providing a starting point to continue work. Allows for chat-based deep dives into the summary.
- MCP Integration: Built-in MCP server to seamlessly connect with supported coding agents without manual setup.
Use Cases for Contextberg
Contextberg is ideal for developers, programmers, and technical professionals who spend significant time working with AI coding assistants. Use it to maintain context across long debugging sessions, switch between complex projects without losing your place, or provide AI agents with comprehensive background on a feature you've been developing. It's particularly valuable for workflows involving multiple tools and browser research.
Advantages of Contextberg
The primary advantages are enhanced productivity through persistent memory, absolute data privacy with its local-first design, and the convenience of automatic context management. It eliminates the friction of re-establishing context with AI agents, saving time and reducing cognitive load. The free tier offers substantial core functionality, making it accessible for individual users.
Pricing and Plans
Contextberg offers a transparent pricing model with a robust free tier and paid plans for advanced AI features:
- Free: Permanent and free. Includes local recording of all PC operations, AI work analysis reports, local LLM support via LM Studio, MCP integration, and 100% local data storage. Data is retained for 180 days. Gemini is limited to basic models.
- Lite: $8/month. Includes all Free features, access to all Gemini models, unlimited data retention, and unlimited MCP integration. Designed for individual users wanting full AI analysis.
- Pro: Currently in development. Intended to offer all Lite features with advanced AI analysis and reports.
Contextberg FAQ
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