Turn your work into AI agent memory, served over MCP
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.
Tired of re-explaining yourself to your own AI agent?
I'm Tiger. Every session reset. Every task switch meant catching my agent up from scratch. My brain was doing the memory work that the agent should be doing.
So I built Contextberg — the missing piece.
🧩 What It Does
A local memory app that runs in the background and feeds context to your agent via MCP.
Watches your screens, browser history, and agent conversation history
Builds both short-term and long-term memory in the background
Supplies context to your agent via MCP using built-in skill commands
No build step. Just install from the Microsoft Store and sign up — that's it. Free to start.
🪟 Built for Windows Developers
Every tool like this was Mac-only. Windows developers were always left out.
Contextberg is Windows-first — and built specifically for Windows, so it runs efficiently without hogging your CPU.
Close your laptop Friday night, mid-debug. Open it Monday morning. "Where should I start?" Your agent already knows.
🔭 Long-Term Vision
The end goal: accumulate your personal context into your own data warehouse, and use it as fine-tuning material for a truly personalized LLM. An AI that knows you — not just your last session. Roadmap:
- macOS & Linux support
- Hermes model integration
- Auto-generation of skill commands
- Skills management view
Got ideas? Drop them in the comments — your feedback shapes what we build next.
🚀 v1.0.0 Is Live Today
What context do you wish your agent just already knew?
About Contextberg on Product Hunt
“Turn your work into AI agent memory, served over MCP”
Contextberg launched on Product Hunt on May 20th, 2026 and earned 97 upvotes and 23 comments, placing #15 on the daily leaderboard. 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.
On the analytics side, Contextberg competes within Productivity, Time Tracking and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Contextberg performed against the three products that launched closest to it on the same day.
Who hunted Contextberg?
Contextberg was hunted by Tiger. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Contextberg including community comment highlights and product details, visit the product overview.
Tiger
Hey Product Hunt 👋
Tired of re-explaining yourself to your own AI agent?
I'm Tiger. Every session reset. Every task switch meant catching my agent up from scratch. My brain was doing the memory work that the agent should be doing.
So I built Contextberg — the missing piece.
🧩 What It Does
A local memory app that runs in the background and feeds context to your agent via MCP.
Watches your screens, browser history, and agent conversation history
Builds both short-term and long-term memory in the background
Supplies context to your agent via MCP using built-in skill commands
No build step. Just install from the Microsoft Store and sign up — that's it. Free to start.
🪟 Built for Windows Developers
Every tool like this was Mac-only. Windows developers were always left out.
Contextberg is Windows-first — and built specifically for Windows, so it runs efficiently without hogging your CPU.
Close your laptop Friday night, mid-debug.
Open it Monday morning. "Where should I start?"
Your agent already knows.
🔭 Long-Term Vision
The end goal: accumulate your personal context into your own data warehouse, and use it as fine-tuning material for a truly personalized LLM. An AI that knows you — not just your last session.
Roadmap:
- macOS & Linux support
- Hermes model integration
- Auto-generation of skill commands
- Skills management view
Got ideas? Drop them in the comments — your feedback shapes what we build next.
🚀 v1.0.0 Is Live Today
What context do you wish your agent just already knew?