Contextberg turns desktop activity into agent memory
Contextberg is a Windows-first local memory app for AI agents that captures screens, browser history, and agent conversations in the background, then exposes that context over MCP. The pitch is straightforward: instead of re-explaining your project every session, tools like Claude Code and Cursor can retrieve what they need from an always-on memory layer.
The hook is strong because it targets a real pain point for agentic workflows: continuity across sessions. The product is especially interesting for Windows users, where many adjacent tools have historically been Mac-first.
- –Passive capture is the differentiator: it tries to infer useful context automatically instead of relying on users to save notes manually.
- –MCP support makes the product more relevant to the current agent ecosystem, not just a standalone memory store.
- –The biggest risk is privacy and trust, since screen and browser monitoring is inherently sensitive.
- –Signal-to-noise will matter a lot; if the ingestion layer is too noisy, retrieval quality will collapse quickly.
- –The Windows-first angle is a clear wedge, but cross-platform support will likely determine whether it becomes infrastructure or stays niche.
DISCOVERED
10h ago
2026-05-20
PUBLISHED
15h ago
2026-05-20
RELEVANCE
AUTHOR
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