Lightweight, S3-compatible object storage server

Lightweight, S3-compatible object storage server

VaultS3 is a lightweight, self-hosted, S3-compatible object storage server delivered as a single static binary or container (<80MB idle RAM) with a built-in dashboard, erasure coding, clustering, encryption, and semantic/vector search.

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Free API 70/100
One of 40 tools in Other
Added 2 months ago
Data reviewed Aug 2, 2026

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Quick Overview

Best for: Other

What it does

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Best fit

Other

Pricing snapshot

Free from AGPL-3.0 β€” free to self-host

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VaultS3 is a self-hosted, S3-compatible object store designed to be lightweight and easy to run: a single binary or container that uses under 80 MB of idle RAM. It provides a full S3 API implementation (SigV4, multipart uploads, versioning, presigned URLs, object tagging, lifecycle, CORS, bucket policies) and is a drop-in for AWS SDKs, aws-cli, rclone, and boto3. The project includes a built-in web dashboard and production-oriented features such as erasure coding, Raft-based clustering, encryption (including per-bucket keys and SSE-C), tiering and backup, and built-in semantic/vector search for RAG workflows.

Self-hosted, S3-compatible object storage in a single binary under 80MB RAM. Built-in dashboard, erasure coding, Raft clustering, active-active replication, per-bucket encryption, and semantic / vector (RAG) search. The maintained, lightweight alternative to MinIO.

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Key Features

Single binary, zero dependencies

Everything ships in one static binary (or small container) with no add-ons; advertised idle RAM under 80 MB.

S3 API compatibility

Supports S3-compatible API including SigV4 auth, multipart uploads, versioning, presigned URLs, object tagging, lifecycle, CORS, and bucket policies; drop-in for AWS SDKs, aws-cli, rclone, and boto3.

Built-in web dashboard

Management UI with file browser, bucket configuration, IAM, audit trail, metrics, search, and replication status β€” no separate licensed console required.

Server-side encryption

Server-side AES-256-GCM, per-bucket keys with rotation and crypto-shredding for tenant isolation, and SSE-C for operator-blind objects.

Erasure coding with healing

Reed–Solomon sharding across disks with a background healer that auto-reconstructs degraded objects to survive drive loss.

Raft clustering

Strongly-consistent metadata via HashiCorp Raft, consistent-hash placement ring, failure detection, and automatic failover.

Active-active replication (beta)

Bidirectional replication using vector clocks and pluggable conflict resolution, plus one-way async site-to-site push.

Semantic / vector search

Built-in vector search and RAG retrieval by embedding text via any OpenAI-compatible endpoint; no separate vector DB required.

Tiering & backup

Transparent hot/cold tiering to local or remote storage and scheduled full/incremental backups.

Multiple deployment options

Run as a static binary, container, Helm chart, Kubernetes operator, or FUSE mount; supports amd64 and arm64.

Pricing

Free Tier Available

AGPL-3.0 open source project; self-hosted and free to use under the license.

Open Source

AGPL-3.0 β€” free to self-host
  • Single binary container/Helm/operator deployments
  • Built-in dashboard, encryption, erasure coding, clustering, replication, and vector search

Use Cases

Self-hosted S3-compatible object storage

Run a lightweight, fully-featured object store on-premises or in cloud VMs/containers as a drop-in alternative to AWS S3 or heavier self-hosted solutions.

Multi-tenant, encrypted storage

Provide per-bucket encryption with rotation and crypto-shredding and SSE-C for operator-blind objects to isolate tenant data.

Highly-available storage with fault tolerance

Use Reed–Solomon erasure coding and Raft metadata clustering to survive drive loss and ensure consistent metadata with automatic failover.

Cross-site replication and disaster recovery

Use active-active or one-way async replication and scheduled backups for multi-site replication and recovery workflows.

RAG/semantic retrieval

Embed and query text objects with built-in vector search (OpenAI-compatible embedding endpoints) for retrieval-augmented generation workflows without a separate vector DB.

Developer workflows and tool compatibility

Integrates with AWS SDKs, aws-cli, rclone, and boto3 for CI/CD, backup, and migration workflows.

Integrations

AWS SDKs / aws-cli / boto3

S3-compatible API allows drop-in usage with AWS SDKs and aws-cli tooling.

rclone

Compatible with rclone for data transfer and synchronization workflows.

OpenAI-compatible embedding endpoints

Use any OpenAI-compatible endpoint to embed text objects for the built-in vector search/RAG functionality.

Benefits

Extremely lightweight deployment: single binary or small container with <80MB idle RAM.
Full S3 API compatibility enabling easy migration and integration with existing tools and SDKs.
Production-grade features built-in (encryption, erasure coding, clustering, replication, and built-in dashboard) without paywalled consoles or add-ons.

Limitations

Active-active replication is marked as Beta in the product feature list.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Download the binary or container image from the project page or GitHub.
  2. 2 Run a container example: docker run -p 9000:9000 eniz1806/vaults3
  3. 3 Open the built-in web dashboard and consult the documentation (Read the docs) for configuration, IAM, and storage setup.

Support

docs

Documentation linked from the site (Read the docs).

source

Project source and releases on GitHub (link from the site).

container

Docker Hub image available for quick start (link from the site).

contact

Contact link provided on the project website.

API

Available: Yes
Documentation:

Read the docs linked from the project site (S3-compatible API documentation available on the site).

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