Kinic
Hey HN, I built Kinic (https://www.kinic.io), a simple but powerful way to create, own, and share your AI Memory. Think of it as “Plaid for AI Memory” or a personal knowledge base for your AI agents that you control. It uses cryptography and WebAuthn with a WASM based vector DB for memory context. Own your own 'AI memory silo' - is one way I talk about it. Right now, most AI tools forget everything when the chat ends or lock your memory in their black boxes (company owned server silo). Also there is some data I would never want to feed to big LLM providers, personal, health related…
Kinic launched on October 7, 2022 with 69 votes, #761 of 3,153 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
What it does
Kinic is the world's first web3 specific search engine. We use advanced semantic and contextual methods to surface app frontends that are built on blockchain. We then allow you to use text or categories to query and discover web3 dApps.
Stop re-explaining yourself to every AI tool. Kinic creates a portable memory layer that works across ChatGPT, Claude, custom agents, and more. Cryptographically secured, user-owned — your context follows YOU.
Kinic is your cryptographically secure, searchable memory for AI — every bookmark, email, note, and document in one place. Kinic is the personal AI memory that you own and control. It helps you store important information — bookmarks, emails, notes, and more — so you can search and retrieve it later with trusted, AI-powered queries. Augment large language models with your own data to build smarter agents and personalized intelligence. Gather data from your emails, socials, bookmarks, and much more. Fine tune and augment AI models with your data. No more copy and pasting into LLM interfaces. If you are an expert or influencer you can earn by renting out you personal AI memory stores. Do you…from kinic.io
In the maker’s words, at launch
Hey HN, I built Kinic (https://www.kinic.io), a simple but powerful way to create, own, and share your AI Memory. Think of it as “Plaid for AI Memory” or a personal knowledge base for your AI agents that you control. It uses cryptography and WebAuthn with a WASM based vector DB for memory context. Own your…
Does a similar job
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Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…
AthenaJan 2026 · github.com · ▲5Hi HN, I spent the last 14 months pairing with my own AI agent for everything from coding to life admin (1,000+ logged sessions). I got tired of the "Subscription Cycle" (paying $20/mo for a wrapper that forgets context next week), so I built a sovereign framework: "Project Athena". It is a local-first system that lets you build an AI agent with persistent memory, protocols, and knowledge graphs that live on your machine, not in a siloed cloud account. *Key Features:* - *Local-First Memory*: Markdown files + local vector store. You own the data. - *Protocol Library*: 69+ decision…
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