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Nysa

Shared memory for teams that work with AI agents

Nysa is shared memory for teams that work with AI agents. Meetings and email become profiles, knowledge and skills, each fact with its source. Every teammate's agent reads and writes it over MCP, and sees only what its person can see: scopes, private projects and scoped API keys.

Top comment

Hi Product Hunt, I'm Javier, the maker of Nysa.

I started Nysa after building a lot with AI agents and harnesses like OpenClaw. One agent for one person is great. But the moment a team uses agents, everyone's agent knows a different slice of the company, and nobody's agent knows what was decided in the call they missed.

Sharing everything isn't the answer either: not everyone should see everything.

Nysa fixes both. A meeting notetaker, Gmail and Google Calendar feed one company brain of facts, each with its quote, date and source. Every teammate's agent (Claude, ChatGPT, Codex, Cursor, OpenClaw, Hermes) connects over one MCP server, signed in as that person, and sees only what they can see. Raw email stays private to its owner; the team gets only the facts. Nysa keeps a living profile for every person and company, a shared knowledge base, projects, and skills: a workflow one agent learns, every teammate's agent can reuse. Agents write back too, and API keys can be limited to specific scopes and projects.

Setup takes under five minutes. Plans are per team, not per seat: $99/month up to 10 people, with a 14-day free trial.

It works with Google accounts only for now. I'd love to hear what you'd want your agents to remember that they currently forget, and where the permissions model doesn't match how your team works. I'll answer every comment today.

About Nysa on Product Hunt

“Shared memory for teams that work with AI agents”

Nysa was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Nysa is shared memory for teams that work with AI agents. Meetings and email become profiles, knowledge and skills, each fact with its source. Every teammate's agent reads and writes it over MCP, and sees only what its person can see: scopes, private projects and scoped API keys.

On the analytics side, Nysa competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Nysa performed against the three products that launched closest to it on the same day.

Who hunted Nysa?

Nysa was hunted by Javier Aldape. 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 Nysa including community comment highlights and product details, visit the product overview.