Contextberg

Turn your work into AI agent memory, served over MCP

Time TrackingArtificial IntelligenceProductivity

▲ 89 votes15 commentsLaunched May 20, 2026

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Weekly #55

Contextberg is a local memory app for AI agents. It watches your screens, browser history, and agent conversations in the background — so Claude Code, Cursor, and friends can just remember.

AI Analysis

📝 Summary

Contextberg is a local memory app for AI agents that runs in the background, monitoring screens, browser history, and conversations with tools like Claude Code and Cursor. It transforms this data into structured AI-accessible memory served over MCP, enabling seamless context recall. Core features include passive capture and privacy-focused local storage. It solves the major pain point of AI agents lacking persistent memory, which causes repetitive inputs and lost productivity. The value proposition is transforming everyday developer work into intelligent, always-available context that makes AI coding tools significantly more effective.

📈 Market Timing

2025-2026 sees explosive growth in AI coding agents (Claude, Cursor, etc.) and rising demand for long-term memory solutions as users tire of repetitive context provision. Local compute and embedding tech are mature, while privacy concerns favor local-first apps amid tightening data regulations. Excellent Timing.

✅ Feasibility

High technical feasibility using established screen-capture, browser APIs, and local vector databases. Moderate development and operation costs for a desktop app. Primary risks involve OS permission barriers and user privacy concerns, but no complex supply chain issues. Strong per-user scalability. Overall rating: High.

🎯 Target Market

Primary users: Software developers and engineers (ages 25-40) heavily using AI coding tools in tech companies and startups. Concentrated in North America and Europe. TAM for AI developer productivity tools exceeds $15B; SAM for agent memory/context layer approx. $800M; SOM for local privacy-focused tools ~$80M. Core pain: context loss in complex projects. High willingness to pay ($10-30/mo) for measurable productivity gains.

⚔️ Competition

Medium. Direct competitors: 1. Rewind.ai (rewind.ai) - screen memory assistant; 2. Limitless (limitless.ai) - AI pendant for memory; 3. Mem (getmem.com) - AI workspace; 4. Recall by Microsoft. Advantages: highly specialized for AI coding agents, fully local/privacy-first, MCP integration for seamless serving. Disadvantages: newer entrant with narrower scope than general memory tools, potential battery/CPU impact. Strong differentiation in agent-specific memory.

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