Memvid
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and has been in the index since 26 Aug 2026. How this is checked
Memvid stores documents, notes, conversations, embeddings, indexes, and related context in a portable single-file knowledge layer. Developers can connect it to AI agents through MCP, SDKs, or APIs, while organizations can deploy files locally, on-premises, or in private and public clouds.
Inferred · not functionally tested
Overview
6 featuresPurpose: Building portable, persistent AI-agent memory and enterprise search without complex RAG infrastructure.
Inferred · not functionally tested
Audience: AI developers and enterprise teams
Inferred · not functionally tested
Functions: rag, agents, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: unknown · license: Apache-2.0 · platforms: API, WEB · deployment: browser, self_hosted, api_only, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: memvid.com · github.com. These links do not verify the individual claims.
In the RAG, search & retrieval space, Memvid takes a focused approach. Inferred · not functionally tested: It focuses on building portable, persistent AI-agent memory and enterprise search without complex RAG infrastructure. Inferred · not functionally tested: It is built as a B2B product for AI developers and enterprise teams. Basis unknown · not verified: It runs on the web and API, and it can be self-hosted.
Memvid builds and maintains Memvid, and it first shipped in 2025. Development happens publicly on GitHub with 16.4k stars and 2 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include single-file storage, hybrid search, and entity extraction. Inferred · not functionally tested: Catalogued interfaces include a public API and an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Single-file storage
- Hybrid search
- Entity extraction
- Persistent memory
- Document import
- Conversation indexing
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed26 Aug · 15:52 UTCmemvid/memvid seen via GitHub Search (Smart)Source: GitHub Search (Smart) · Open
Frequently asked questions about Memvid
- What is Memvid?
- Inferred · not functionally tested: Memvid focuses on building portable, persistent AI-agent memory and enterprise search without complex RAG infrastructure. It is catalogued under RAG, search & retrieval on PulseGate.
- Who should use Memvid?
- Inferred · not functionally tested: Memvid is a B2B product built for AI developers and enterprise teams.
- What platforms does Memvid run on?
- Basis unknown · not verified: Memvid runs on the web and API. It can also be self-hosted.
- Is Memvid still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 2 commits in the last 90 days.
- What are alternatives to Memvid?
- Similar projects tracked by PulseGate include AgentMem, Memori Labs, and Mem0.AgentMemMemori LabsMem0
- Who makes Memvid?
- Memvid is developed by Memvid.
- How long has Memvid been around?
- Memvid first shipped in 2025.
- Is Memvid open source?
- Basis unknown · not verified: Memvid has a public GitHub repository.
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