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Kubo - The Go Implementation of IPFS
Kubo is the reference implementation of the InterPlanetary File System (IPFS) protocol in Go, enabling decentralized storage and peer-to-peer content distribution.
Go
Added on 2025年6月2日16,507
Stars3,073
ForksGo
LanguageProject Introduction
Summary
Kubo provides a robust and complete implementation of the IPFS protocol suite in Go, acting as a core daemon for the IPFS network, allowing users to store, request, and route content.
Problem Solved
Addresses the limitations of centralized data storage and distribution by offering a content-addressed, peer-to-peer alternative that is resilient, censorship-resistant, and efficient for large datasets and static web content.
Core Features
Content Addressing
Files and data are addressed by their cryptographic hash, ensuring data integrity, de-duplication, and permanent linking across the network.
Peer-to-Peer Networking
Built on libp2p, it provides advanced peer discovery, routing (DHT), and data exchange capabilities without reliance on central servers.
Mutable File System (MFS)
Offers a familiar mutable file system interface on top of the immutable IPFS data structures, simplifying content management.
Tech Stack
Go
libp2p
multiformats
IPLD
protobuf
Use Cases
Kubo is a foundational tool for building decentralized applications and systems, enabling various applications that benefit from decentralized content storage and distribution. Common use cases include:
Decentralized Website Hosting
Details
Host static websites directly on the IPFS network, making them resilient to single points of failure and distributed globally.
User Value
Increased site availability, censorship resistance, and potentially lower hosting costs.
Large File Distribution
Details
Efficiently distribute large files (like videos, software updates, or datasets) using peer-to-peer transfers, reducing server load.
User Value
Reduced bandwidth costs, faster download times for users near peers, and improved scalability.
Data Archiving and Preservation
Details
Store important data in a content-addressed manner for long-term, verifiable archiving and ensuring data integrity over time.
User Value
Ensures data immutability and persistence across distributed nodes, valuable for historical or critical data.
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