Best Open Source Alternatives to HashiCorp Vault in 2026

After HashiCorp switched Vault from MPL to BSL (Business Source License) in 2023, the open source community forked and built alternatives. If you need secrets management without BSL restrictions, here's what to use.

TL;DR

OpenBao is the direct Vault fork — same API, same features, truly open source (MPL-2.0). Infisical is the modern alternative — better DX, built for cloud-native teams. SOPS is the lightweight option for encrypting secrets in Git.

Key Takeaways

• OpenBao is the community fork of Vault — API-compatible, MPL-2.0 licensed, Linux Foundation backed
• Infisical is purpose-built for application secrets — beautiful dashboard, native integrations, rotation
• SOPS is file-based encryption — no server needed, integrates with AWS KMS, GCP KMS, and age
• The Vault BSL change means you can't use Vault in a competing product — OpenBao removes this restriction

The Comparison

Feature	Vault (BSL)	OpenBao	Infisical	SOPS
Price	Free (BSL)	Free (MPL)	Free (OSS)	Free (MPL)
License	BSL 1.1	MPL-2.0	MIT	MPL-2.0
Dynamic secrets	✅	✅	✅	❌
Secret rotation	✅	✅	✅	❌
PKI/certs	✅	✅	❌	❌
Transit encryption	✅	✅	❌	❌
Web UI	✅	✅	✅ (best)	❌
API	✅	✅ (compatible)	✅	CLI
K8s integration	✅	✅	✅	✅
CI/CD integration	✅	✅	✅ (best)	✅
Audit logging	✅	✅	✅	Git history
HA/clustering	✅	✅	✅	N/A
Setup complexity	High	High	Low	Minimal

1. OpenBao

The Vault fork — same API, truly open source.

• GitHub: 3K+ stars
• Stack: Go
• License: MPL-2.0
• Backed by: Linux Foundation

OpenBao is a community fork of HashiCorp Vault, maintained under the Linux Foundation. It's API-compatible with Vault — existing tools, configurations, and workflows transfer directly.

What you get: Everything Vault has — secret engines (KV, databases, PKI, transit), auth methods (tokens, LDAP, OIDC, Kubernetes), audit logging, HA with Raft storage, and the full policy system.

Best for: Organizations currently using Vault who want to stay on a truly open source license, or anyone building infrastructure that would conflict with BSL.

2. Infisical

Modern secrets management for developers.

• GitHub: 17K+ stars
• Stack: TypeScript, Node.js, PostgreSQL
• License: MIT
• Deploy: Docker, Kubernetes, cloud

Infisical is built for how developers actually manage secrets today. It has a beautiful dashboard, CLI for local development, native integrations with every CI/CD platform, and automatic secret rotation.

Standout features:

• Beautiful web dashboard for managing secrets
• CLI for local development (infisical run -- npm start)
• Native integrations: GitHub Actions, GitLab CI, Vercel, Netlify, AWS, GCP, Azure
• Secret versioning and rollback
• Secret rotation (database credentials, API keys)
• Access controls with approval workflows
• Audit logs
• Secret scanning to prevent leaks
• Environment-based secret management (dev, staging, prod)
• SDKs for Node.js, Python, Java, Go, Ruby

Usage

# CLI — inject secrets into your dev environment
infisical init                    # Connect to project
infisical run -- npm run dev      # Run with secrets injected

# Or use the SDK
import { InfisicalClient } from '@infisical/sdk';

const client = new InfisicalClient({ token: process.env.INFISICAL_TOKEN });
const secret = await client.getSecret({
  environment: 'production',
  projectId: 'your-project-id',
  path: '/',
  secretName: 'DATABASE_URL',
});

Best for: Development teams, cloud-native applications, CI/CD pipelines, teams wanting better DX than Vault.

3. SOPS (Secrets OPerationS)

Encrypt secrets in your Git repo.

• GitHub: 17K+ stars
• Stack: Go
• License: MPL-2.0
• Deploy: CLI (no server)

SOPS takes a different approach — it encrypts secret files (YAML, JSON, ENV, INI) so you can store them in Git. Only the values are encrypted; keys remain readable for easy diffing. Supports AWS KMS, GCP KMS, Azure Key Vault, age, and PGP.

# Encrypt a file
sops --encrypt --age age1... secrets.yaml > secrets.enc.yaml

# Decrypt and use
sops --decrypt secrets.enc.yaml

# Edit encrypted file in place
sops secrets.enc.yaml

Best for: Small teams, GitOps workflows, projects that want secrets versioned alongside code, teams without infrastructure for a secrets server.

Decision Guide

Choose OpenBao if:

• You're already using Vault and want a license-compatible fork
• You need dynamic secrets, PKI, or transit encryption
• Vault API compatibility is required
• Enterprise features (HA, audit) are necessary

Choose Infisical if:

• Developer experience is the top priority
• You want a modern web dashboard
• CI/CD integration is the primary use case
• Your team doesn't have deep Vault expertise

Choose SOPS if:

• You want the simplest possible approach
• You don't want to run a secrets server
• GitOps is your workflow
• Small team with few secrets to manage

Migrating from HashiCorp Vault to OpenBao: A Practical Walkthrough

If your organization is currently running HashiCorp Vault and wants to move to a license-compatible fork without disrupting existing workflows, OpenBao is the most friction-free path. Because OpenBao maintains full API compatibility with Vault, the migration is closer to an in-place upgrade than a full tool replacement.

The first step is an audit of your current Vault usage. Inventory every secret engine you have enabled (KV, database, PKI, transit, AWS), every auth method in use (token, LDAP, OIDC, Kubernetes), and every client that calls the Vault API. Most organizations discover they use far fewer features than Vault offers — typically KV secrets, maybe dynamic database credentials, and a few auth methods. This scope assessment determines how complex your migration will be.

For most teams, the migration sequence is: deploy OpenBao alongside Vault, replicate secrets manually or via the Vault API export, migrate clients one service at a time to point at the new OpenBao address, then decommission Vault once traffic has fully shifted. Because the API is identical, changing the endpoint URL and the token in your application configuration is typically the entire client-side change. Integration layers like Kubernetes External Secrets Operator, Terraform's Vault provider, and Ansible's hashi_vault lookup all work against OpenBao without modification.

One area that requires attention is your Vault policies. OpenBao imports policies directly — the HCL syntax is identical — so you can export them via vault policy list and vault policy read and then apply them to OpenBao with the equivalent bao policy write command. The same applies to auth method configurations. Document your current auth method settings before migration so you can recreate them precisely.

For teams that want to skip the direct migration path and move to a fundamentally different approach, Infisical is worth evaluating seriously. It has a Vault importer that reads KV secrets directly from a running Vault instance and populates an Infisical project. The import is one-directional and doesn't cover dynamic secrets or PKI, but for teams whose primary Vault use case is storing static secrets for application configuration, it handles the bulk of the work in a single command.

Security Hardening for Self-Hosted Secrets Management

Deploying any secrets manager is only the beginning. The operational security practices you put in place determine whether your deployment is genuinely secure or just theater.

Start with the deployment model itself. Secrets managers should never be publicly accessible on the internet without a strong reason. Place OpenBao or Infisical behind your VPN or within a private network segment, accessible only from the systems that need it. If you run a self-hosted platform like Coolify or Dokku, your secrets manager should live on the same private network as your application infrastructure, communicating over internal addresses.

Enable audit logging from day one. Both OpenBao and Infisical log every secret access request. Pipe these logs to a centralized log aggregator — Grafana Loki or Elasticsearch — so you can alert on anomalous access patterns. A sudden spike in secret reads from an unexpected IP address is the kind of signal that catches credential theft early.

Token and credential lifecycle management is where most teams fall short. Vault-compatible systems support token TTLs and auto-renewing leases for a reason: long-lived credentials are the primary attack vector for secrets sprawl. Dynamic database credentials — where your application requests a short-lived Postgres username and password rather than storing a permanent one — are one of the most powerful security features in this category. OpenBao's database secrets engine supports this for PostgreSQL, MySQL, MongoDB, and others. The operational investment in setting up dynamic credentials pays back by eliminating entire classes of credential leak incidents.

For secret rotation, Infisical has native support for rotating database passwords, API keys, and cloud credentials on a schedule. This is particularly valuable for long-running services where credential rotation has historically required a coordinated deployment. With automated rotation, the secrets manager handles the update and notifies dependent services through webhooks.

On the infrastructure side, secrets managers should be treated as critical infrastructure with the same backup and disaster recovery rigor as your primary database. Back up your OpenBao or Infisical data daily, test restores quarterly, and store backup encryption keys separately from the backup data itself. For teams already managing their security posture across multiple self-hosted tools, the vaultwarden advanced setup and security hardening guide covers complementary hardening practices that apply broadly to self-hosted security infrastructure.

Integrating Secrets Management with Your CI/CD Pipeline

The most common secrets management use case for engineering teams is CI/CD: your build pipeline needs credentials to push images, deploy infrastructure, and access external services. Getting this right eliminates a huge source of secrets leaks, since CI/CD systems are notorious for leaking credentials through log output and environment variable dumps.

Infisical has native integrations with GitHub Actions, GitLab CI, CircleCI, Jenkins, and Bitbucket Pipelines. The pattern is straightforward: the CI runner authenticates to Infisical using a machine identity (a service token scoped to the specific project and environment), fetches only the secrets it needs for that pipeline run, and injects them as environment variables for the duration of the job. Secrets never touch the CI/CD platform's secret storage — they're fetched dynamically at runtime.

OpenBao's AppRole auth method is the equivalent for Vault-compatible deployments. Your CI/CD system stores only a role ID (non-sensitive) and a secret ID (short-lived, regenerated per pipeline run). The runner exchanges these credentials for a Vault token, fetches secrets, and completes its work. The token TTL can be set to the expected pipeline duration, automatically expiring afterward.

For Kubernetes deployments, the Kubernetes auth method authenticates pods using their service account tokens. This means no static credentials anywhere — pods prove their identity using cryptographically verifiable service account tokens, receive a short-lived Vault token, and access only the secrets their service account is authorized for. Combined with Kubernetes External Secrets Operator, secrets are synchronized into Kubernetes Secret objects automatically, with rotation handled by the secrets manager rather than manual deployments.

SOPS is particularly well-suited for teams operating in GitOps workflows where infrastructure state lives in git. Encrypting secrets files with age keys means your complete infrastructure configuration — including secrets — can be stored in your private repository. The decryption key is the only thing that needs to be protected, and tools like Flux and ArgoCD have native SOPS support for decrypting secrets during deployment. This approach reduces operational complexity significantly for smaller teams who don't want to run a dedicated secrets server. Pair SOPS with a lightweight self-hosted deployment platform and your entire infrastructure definition — application code, configuration, and secrets — lives in version control. For teams choosing between self-hosted PaaS options, the Coolify vs Dokku comparison outlines which platforms best support GitOps-style deployment workflows.

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Compare open source secrets management tools on OSSAlt — features, security certifications, and deployment options side by side.

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