Library/memvid
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memvid/memvid

memvid

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

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memvid

memvid

memvid • individual

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13,681

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1,136

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Activity Score

0/100

0 commits in 30d

Created

May 27, 2025

Project creation date

README Summary

Memvid is a memory layer for AI agents that simplifies complex RAG (Retrieval-Augmented Generation) pipelines into a single serverless file. It provides AI agents with instant retrieval capabilities and long-term memory storage without the complexity of traditional RAG implementations. The solution is built in Rust and designed to be lightweight and easily integrable.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationAI Agent ArchitectureMemory Systems for AIVector Database DesignInformation RetrievalServerless AI Infrastructure

Tags

Retrieval-Augmented GenerationAI Agent ArchitectureMemory Systems for AIVector Database DesignInformation RetrievalServerless AI InfrastructureCompound AI SystemsTextSimplified AI InfrastructureSelf-hostedContext-Aware AI ApplicationsKnowledge Base IntegrationLong-term Conversation MemoryAgentic AIAI Agent Memory ManagementServerlessAI InfrastructureSimplified RAG ImplementationDeveloper ToolsRust

Taxonomy

Recent Activity

Updated 28 days ago

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90 Days

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingEdge & Mobile AIDev Tools & AutomationML Platform & InfrastructureSearch & KnowledgeOther AI / MLAI Agents

PM Skills

Developer Platform

Languages

Rust100.0%

Timeline

Project created
May 27, 2025
Forked
Mar 23, 2026
Your last push
28 days ago
Upstream last push
28 days ago
Tracked since
Mar 16, 2026

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