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Save notes, todos, contacts, and JSON with one AI agent. Retrieve them with another. Simple Agent Store gives your connected agents one shared store via MCP, with a web viewer to inspect your data. Use managed Cloud or self-host the Apache-2.0 core. Five operations: put, get, list, search, delete. Your agents handle language; the store keeps the objects you ask them to save.
Hi Product Hunt, I'm Rishabh, the maker of Simple Agent Store.
I built this because useful things kept getting stuck in separate agent conversations: a project decision in Claude, a todo in Codex, a contact I'd have to find again.
The idea is simple: connect your agents to the same store, ask one to save something, and retrieve it later with another. You can keep notes, todos, contacts, or JSON, and inspect the saved objects in the web viewer.
Use managed Cloud or run the Apache-2.0 core yourself. The store does five things: put, get, list, search, and delete. Search uses words and metadata; your agent handles the language.
I'd love to hear what you'd save first, and where the connection or retrieval flow could be clearer. Happy to answer questions!
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About Simple Agent Store on Product Hunt
“Dead simple storage for your AI agents”
Simple Agent Store was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #92 on the daily leaderboard. Save notes, todos, contacts, and JSON with one AI agent. Retrieve them with another. Simple Agent Store gives your connected agents one shared store via MCP, with a web viewer to inspect your data. Use managed Cloud or self-host the Apache-2.0 core. Five operations: put, get, list, search, delete. Your agents handle language; the store keeps the objects you ask them to save.
Simple Agent Store was featured in Open Source (69k followers), Developer Tools (521.4k followers), Artificial Intelligence (481.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 267.9k products, making this a competitive space to launch in.
Who hunted Simple Agent Store?
Simple Agent Store was hunted by Rishabh Mehan. 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.
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Rishabh Mehan