Memvid

Single-file memory layer for AI agents with persistent, versioned and portable memory and no database.

Infrastructure by Memvid

IndexedApache-2.0★ 16,605

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Setup steps are in the repository. Website · Repository

About

Memvid stores data, embeddings, search structures and metadata in one portable file, so agents can retrieve memory without a database or server. Writes are append-only, past memory states can be queried, and the file can be shared as a capsule with rules and expiry. It is described as working fully offline.

Use cases: agent-memory

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Fact sheet

Category: Memory · portable memory
Self-host: Yesmemvid.com
Open source: Yesraw.githubusercontent.com
Protocols: mcpmemvid.com

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars: 16,605
Forks: 1,421
Open issues: 14
Last commit: Jul 14, 2026 (3 months ago)
Last release: May 27, 2026 (5 months ago)

Details

License: Apache-2.0
Repository: github.com/memvid/memvid
Website: memvid.com
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Website

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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founders on every account: 2; founders on every account

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Memvid. Agent Mart. https://agentmart.dev/infrastructure/memvid (last updated 2026-10-24)