Memvid
Memory layer for AI agents in 1 file.
Memvid launched on January 6, 2026 with 9 votes, #1,189 of 14,584 launches that month and more than 90% of that year's launches.
What it does
Memvid V2 is live! We just killed every RAG and Vector Database company (by storing AI memory inside video frames) - 5 minute setup - Zero infrastructure. - Hybrid search - Sub-5ms retrieval - Fully portable - Open Source Memvid V2 introduces the first portable, serverless AI memory layer that replaces traditional RAG pipelines and vector databases with a single file. No database. No preprocessing. Just a reliable, long-term memory layer that agents can carry anywhere.
Replace complex RAG pipelines with a single portable file that gives every agent instant retrieval and long-term memory. Single-file AI memory with hybrid search, entity extraction, and time-travel debugging.
The AI platform that puts your company's knowledge to work, powering enterprise search, AI agents, and workflow automation. All in a single file you own. Build with it as a developer, or deploy it across your entire organization. Drop in documents, notes, conversations, or any text. Memvid automatically chunks, embeds, and indexes everything. Connect any AI model or agent through MCP, SDK, or direct API. Get lightning-fast hybrid recall and persistent memory. Store your memory file locally, on-prem, in a private cloud, or public cloud, same file, same performance. No vendor lock-in. Everything in one portable .mv2 file. Data, embeddings, indices, and WAL. No databases, no servers, no…from memvid.com
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