Secrets, Vaults and Cryptography

Ente is a privacy-focused platform for end-to-end encrypted storage and two-factor authentication management. It functions as a zero-knowledge identity provider, ensuring that all cryptographic operations, key derivation, and data encryption occur locally on the user's device. By maintaining this architecture, the service provider remains unable to access or decrypt any stored personal information or authentication credentials. The platform distinguishes itself through a combination of on-device intelligence and resilient data distribution. It utilizes a local machine learning engine to perform resource-intensive tasks such as semantic image searching and facial recognition directly on the user's hardware, ensuring that sensitive visual data never leaves the device. To guarantee high availability and data permanence, the system replicates encrypted information across multiple independent cloud providers and geographic regions, protecting against provider outages or regional failures. Beyond its core storage and security capabilities, the project includes sophisticated resource scheduling that monitors device telemetry to manage background processing tasks efficiently. It also provides a comprehensive authentication manager that supports secure token imports and offline operation, allowing users to maintain control over their credentials with or without cloud synchronization.

Infisical is a centralized secrets management platform designed to store, synchronize, and control access to sensitive credentials and configuration data across distributed development, staging, and production environments. It employs client-side encryption to ensure that secrets remain unreadable to the underlying storage infrastructure, while providing a hierarchical permission model to govern both user and machine access. The platform distinguishes itself through dynamic credential provisioning, which generates short-lived access tokens that are automatically revoked after use. It supports complex security workflows by integrating with external identity providers for federated authentication and offering a reverse tunneling gateway that allows secure access to private network resources without exposing inbound ports. Additionally, the system includes an event-driven audit engine that maintains an immutable record of all configuration changes and access requests to support compliance requirements. Beyond core secret storage, the platform provides comprehensive orchestration capabilities, including automated secret injection into containerized environments and infrastructure pipelines. It also features integrated public key infrastructure management for the lifecycle of digital certificates and automated scanning to detect hardcoded secrets in source code and CI pipelines. The platform supports flexible deployment models, allowing teams to either utilize managed cloud services or self-host the infrastructure within their own private networks. It provides a broad ecosystem of SDKs and a command-line interface to facilitate integration across various programming languages and deployment workflows.

The OWASP Cheat Sheet Series is a comprehensive, community-driven repository of concise security best practices and defensive coding patterns. It serves as a centralized knowledge base for developers and security professionals, providing actionable guidance to secure applications across the entire software development lifecycle. The project covers a vast array of security domains, ranging from fundamental web application hardening and authentication protocols to specialized controls for modern infrastructure and artificial intelligence systems. What distinguishes this project is its decentralized, collaborative editorial process. By utilizing a version-controlled, markdown-based workflow, the series ensures that security guidance remains vendor-neutral, peer-reviewed, and universally accessible. This structure allows the community to rapidly evolve and maintain technical documentation, ensuring that defensive strategies keep pace with emerging threats and shifting technology stacks. The project provides extensive coverage of critical security areas, including robust input validation, access control enforcement, and supply chain risk management. It offers detailed implementation guides for securing cloud-native architectures, containerized environments, and various language-specific frameworks. Furthermore, the series addresses advanced topics such as artificial intelligence agent safety, prompt injection prevention, and zero-trust architectural principles. The documentation is maintained as an open-source repository, with content transformed into a navigable web format through automated static site generation.

Azure-zero-to-hero is a comprehensive learning path and technical curriculum designed for mastering cloud infrastructure, security, and deployment on Azure. It consists of a series of courses, guides, and training modules that provide a structured approach to learning the Azure ecosystem. The project provides practical walkthroughs and tutorials covering the orchestration of containerized applications via Kubernetes, the construction of CI/CD pipelines using Azure DevOps, and the provisioning of core infrastructure including virtual machines and virtual networks. It also includes dedicated training for implementing role-based access control and managing sensitive credentials. The curriculum covers broader capability areas such as serverless workflow automation, cloud resource monitoring, and network security configuration. It demonstrates the use of declarative templates for infrastructure deployment and the integration of centralized secret vaulting.

This project is a comprehensive cryptographic toolkit that provides a collection of standard security algorithms and protocols for implementing data encryption and network communication. It serves as a foundational library for securing software applications through a wide range of cryptographic functions. The architecture is defined by a modular provider system that allows for the dynamic loading of external cryptographic implementations without requiring modifications to the core application binary. It supports metadata-driven algorithm querying, which resolves security primitives by matching requested properties against available provider capabilities. Furthermore, the library enables the creation of isolated security contexts, allowing different application components to maintain independent configuration states and security parameters within the same process. The toolkit includes support for FIPS-validated module encapsulation, which restricts cryptographic operations to a hardened boundary to meet strict government and industry compliance standards. It also utilizes a dispatch-table abstraction to decouple high-level security requests from underlying algorithm logic. Comprehensive technical documentation is available to assist with security operations, migration, and compliance validation.

n8n is a workflow automation platform that combines a visual interface with code-based extensibility to design, orchestrate, and manage automated processes. It provides a comprehensive suite of tools for data transformation, filtering, and storage, allowing users to build complex logic through conditional branching, looping, and sub-workflow execution. The platform supports both pre-built integration nodes and custom code execution in JavaScript or Python, enabling connectivity with a wide range of external services and APIs. The platform includes a suite of generative AI capabilities, such as an AI-powered workflow builder, a centralized chat interface for custom agents, and retrieval-augmented generation tools that ground responses in domain-specific data. To support development and production lifecycles, n8n offers version control integration with Git, workflow publishing mechanisms, and administrative tools for managing user roles, security policies, and environment configurations. For monitoring and maintenance, the system provides observability tools that include performance metrics, execution insights, and real-time log streaming. It also features error-handling capabilities, such as automated recovery workflows and manual failure triggering, to ensure system reliability. Users can interact with the platform programmatically via a public REST API or manage administrative tasks through a command-line interface.

Signal-Android is an end-to-end encrypted messaging platform designed to ensure that only the sender and recipient can access communication content. The project provides a comprehensive framework for secure, asynchronous message initiation and key agreement, allowing users to establish private channels without requiring simultaneous online presence. It relies on a state machine architecture to manage communication epochs and authentication, ensuring consistent security transitions throughout the messaging lifecycle. The platform distinguishes itself through a hybrid cryptographic approach that combines multiple mathematical protocols to defend against potential security compromises. It implements advanced ratcheting mechanisms to provide forward secrecy and automatic recovery from breaches, while incorporating quantum-resistant layers to protect against future computing threats. Furthermore, the system supports secure multi-device synchronization, enabling users to maintain consistent identity keys and session history across multiple hardware devices. Beyond its core messaging capabilities, the project includes robust mechanisms for data integrity and transmission reliability. It utilizes erasure-coded chunking to ensure that large data packets can be reconstructed over unstable network connections and employs deterministic elliptic curve signing to verify message authenticity. The system also manages session lifecycles by rotating keys and expiring inactive connections to minimize windows of vulnerability.

Sqlit is a terminal-based SQL client and database explorer designed for executing queries and managing database connections. It functions as a command line interface that provides syntax highlighting, command history, and a terminal user interface for rendering results. The tool features a discovery engine that scans local Docker sockets to automatically identify and resolve connection details for active database containers. It handles secure access through encrypted SSH tunnels and integrates with external secrets managers to retrieve credentials. The project includes capabilities for data management, such as streaming query results into CSV or JSON files. It also provides in-memory result filtering and fuzzy searching to explore large datasets without re-executing SQL statements.

Vault is a centralized secrets management platform designed to secure, store, and control access to sensitive credentials such as API keys, passwords, certificates, and encryption keys. At its core, the system employs a barrier-based cryptographic sealing mechanism that requires an unseal process to decrypt internal storage, ensuring that sensitive data remains protected. It provides identity-based access control to manage granular permissions across distributed infrastructure, effectively centralizing security policies and authentication for both human and machine workloads. What distinguishes Vault is its ability to generate dynamic, short-lived credentials on-demand for databases and cloud providers, which are automatically revoked upon lease expiration to minimize security exposure. The platform also functions as an encryption-as-a-service provider, allowing applications to offload data protection, tokenization, and key management tasks to a centralized interface. Its modular architecture is supported by an extensible plugin system that uses remote procedure calls to integrate new functionality without requiring modifications to the primary codebase. Beyond core secret handling, the platform offers comprehensive certificate lifecycle automation, including the generation, storage, and rotation of security certificates to maintain encrypted communication channels. It supports high-availability deployments through a distributed consensus protocol that synchronizes state across clusters and automatically forwards requests to the active leader node. The system also integrates with hardware security modules for enhanced key protection and maintains detailed audit logs to support regulatory compliance requirements. Users interact with the platform through a command-line interface that supports API endpoint invocation, environment variable configuration, and shell autocompletion for operational tasks.

chezmoi is a command-line utility designed to manage and synchronize system configuration files across multiple machines. It uses a local Git repository as the single source of truth, allowing users to track, version, and distribute dotfiles while maintaining a consistent state across diverse operating systems and hardware architectures. The project distinguishes itself through a declarative reconciliation model that computes the difference between the current filesystem and the desired state defined in the repository. It features a robust templating engine that processes configuration files as dynamic templates, enabling the injection of machine-specific data, environment variables, and system metadata. To maintain security, it includes a transparent encryption layer and integrates directly with third-party password managers and key vaults, allowing sensitive credentials to be retrieved at runtime rather than stored in plain text. Beyond core synchronization, the tool provides extensive automation capabilities for environment provisioning and lifecycle management. It supports custom hook-based scripts that execute before or after configuration operations, facilitating automated dependency installation and system-level setup. The platform also handles complex file management tasks, including symbolic link creation, external dependency fetching, and the ability to manage configurations within ephemeral container environments. The project is distributed as a standalone binary, providing a comprehensive command-line interface for auditing configuration drift, previewing changes, and bootstrapping new environments.

mkcert is a command-line utility designed to simplify local development by generating and managing locally-trusted development certificates. It creates a unique, self-signed root certificate authority on the local machine, which serves as a trusted source for issuing development credentials. By automating the generation of these certificates, the tool enables secure encrypted connections that browsers and operating systems accept without security warnings. The utility distinguishes itself by automatically configuring local trust stores, programmatically injecting the generated root certificate into system and browser databases. It supports complex development workflows through environment-variable-based configuration, allowing users to manage multiple certificate authorities across different projects and specify custom storage paths. This infrastructure ensures consistent security across diverse environments, including support for mobile device trust and remote machine installation. Beyond standard HTTPS testing, the tool provides capabilities for generating secure email certificates and integrating with specific application runtimes. It handles the underlying cryptographic key material generation and cross-platform path resolution required to maintain trust across various operating systems and development environments.

This project provides a comprehensive, self-hosted platform for zero-knowledge credential management and enterprise secrets orchestration. It functions as a secure vault that ensures all encryption and decryption processes occur exclusively on the client side, preventing the server from ever accessing plaintext data. By combining identity federation with robust access controls, the system enables organizations to centralize the management of passwords, passkeys, and sensitive infrastructure credentials. The platform distinguishes itself through its focus on both human-centric security and automated machine-to-machine workflows. It supports advanced authentication methods including hardware security keys, passkeys, and biometric unlocking, while simultaneously offering programmatic interfaces for injecting secrets directly into development pipelines and automated infrastructure deployments. This dual-purpose design allows teams to maintain strict data sovereignty through local hosting and containerized deployments while enforcing granular governance across their entire user base. Beyond core storage, the system includes extensive observability and compliance tools, such as immutable audit logging, credential risk analysis, and integration with external security information and event management platforms. It also facilitates secure collaboration through encrypted information sharing, emergency access delegation, and automated identity provisioning. The software is designed for flexible deployment across diverse infrastructure environments and includes command-line utilities for administrative tasks, bulk data migration, and secret retrieval.

Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new tags and automatically commits updated references back to the configuration repository. Additionally, it includes a secret decryption pipeline that secures sensitive data in version control using PGP, Age, or cloud KMS providers. The project covers a broad range of delivery capabilities, including declarative Helm release management, Kustomize-based rendering, and infrastructure bootstrapping. It also provides integrated support for workload identity federation, artifact-based configuration, and event-driven synchronization via webhooks. Users can manage the delivery pipelines and cluster resources through a dedicated command line interface.

This project is a cross-platform credential management suite designed to store sensitive information in encrypted local databases. It functions as a secure desktop application that provides a unified environment for organizing secrets, generating passwords, and managing multi-factor authentication tokens. By utilizing industry-standard file formats, the application ensures that stored credentials remain secure and interoperable across different operating systems. The software distinguishes itself through deep integration with hardware-backed security and system-level services. It supports physical security tokens for challenge-response authentication, requiring hardware-based verification to unlock databases. Additionally, the application features an automated bridge for browser extensions to facilitate form filling and credential retrieval, alongside a system agent integration that dynamically manages SSH keys based on the current lock state of the database. Beyond core credential storage, the project includes a modular engine for performing administrative tasks such as security audits and data migrations. It also supports secondary protection layers, allowing users to require specific key files alongside master passwords to authorize access. The development process relies on containerized build environments to ensure consistent and reproducible native binaries for Windows, macOS, and Linux.

The Serverless Framework is a declarative infrastructure-as-code tool designed to automate the deployment, scaling, and lifecycle management of cloud-native applications. It provides a unified command-line interface that translates high-level configuration files into provider-specific resource templates, enabling developers to orchestrate complex architectures, event-driven functions, and cloud resources within a single project structure. What distinguishes this framework is its focus on developer experience and multi-environment parity. It supports local function invocation and event proxying, allowing developers to test and debug code locally against live cloud events without requiring constant redeployments. The framework also features a modular plugin system for extensibility and advanced service composition, which allows teams to manage related services as a single unit, share outputs between components, and coordinate deployments across multiple cloud accounts and stages. The platform covers a broad capability surface, including integrated secret management, dynamic variable resolution, and comprehensive observability tools that aggregate logs, metrics, and traces. It also provides specialized support for configuring API infrastructure, managing GraphQL schemas, and exposing business logic to AI agents through secure gateway controls and standardized interface definitions. The framework is managed through configuration files that define infrastructure, event triggers, and environment-specific settings, with installation and operation handled via a standard command-line interface.

This project is a comprehensive zero-knowledge security suite designed for enterprise credential management, secrets orchestration, and password management. It provides a secure, end-to-end encrypted vault that allows users to store, synchronize, and manage sensitive information, including passwords, passkeys, and infrastructure secrets, across desktop, mobile, and browser environments. The platform distinguishes itself through a strict zero-knowledge architecture where all encryption and decryption occur locally on the client, ensuring that plaintext data remains inaccessible to the server. It supports flexible deployment models, allowing organizations to choose between managed cloud services or self-hosted infrastructure to meet specific data sovereignty and compliance requirements. Furthermore, the system integrates with external identity providers to streamline user provisioning and authentication, while offering advanced administrative controls for policy enforcement and security auditing. Beyond core storage, the platform provides extensive tools for DevOps and automated workflows, including command-line interfaces for secret injection and programmatic SDKs for custom integrations. It also includes robust collaboration features for secure data sharing, team resource management, and credential health monitoring to help organizations maintain a strong security posture.

KeeWeb is a web-based password manager and vault that allows users to open and edit encrypted databases through a browser interface. It functions as a cross-platform tool for managing password vaults using the KeePass database format. The application provides a self-hosted password vault that can be deployed as a single HTML file or via Docker. It integrates with remote storage providers using OAuth to synchronize encrypted database files across multiple devices. The system includes capabilities for secure credential generation, two-factor authentication management through time-based one-time passwords, and biometric database unlocking. It also supports the use of hardware security keys and keyfiles to protect encrypted data. The software can be deployed as a container or a standalone web application.

This project is a command-line tool that automates the entire lifecycle of security certificates using standard domain validation protocols. It functions as a background service to manage the issuance, renewal, and installation of certificates, ensuring that encrypted web traffic remains active without requiring manual intervention. The tool distinguishes itself through extensive support for automated domain ownership verification, including the ability to issue wildcard certificates by programmatically interacting with external domain name system providers. It provides flexible validation options, such as using a temporary, ephemeral web server to handle challenges in isolated environments, which allows for certificate generation without needing an existing web server or active website. Beyond issuance, the system includes robust deployment capabilities that integrate directly with server environments. Through customizable hooks, it can automatically update server configuration files and reload services to apply new cryptographic assets immediately upon renewal. The software is built as a modular collection of POSIX-compliant scripts that leverage standard system utilities and support various cryptographic key types to meet diverse security requirements.

MIRIX is an AI agent state orchestrator and long-term memory system designed to provide persistent context for large language models. It functions as a multi-modal AI memory pipeline that processes text, voice, and screen captures into structured knowledge stores, including a dedicated screen activity knowledge base. The project distinguishes itself by integrating a multi-modal observation pipeline that monitors desktop activity in real-time to build a searchable history of user actions. It utilizes a multi-tiered memory hierarchy—separating episodic, semantic, procedural, and core stores—and coordinates shared memory pipelines across multiple agents to maintain a unified knowledge base. The system includes broad capabilities for memory management and retrieval, utilizing hybrid vector-keyword search, temporal filtering, and automated memory lifecycle coordination. It also incorporates security features such as local data encryption, risk-based data categorization, and sensitivity-based result filtering to ensure user memory isolation. The project is implemented in Python and supports integration with OpenAI-compatible API endpoints and various vector database backends.

Trufflehog is a security tool designed to continuously monitor code repositories and cloud environments to detect, verify, and remediate exposed sensitive credentials and API keys. It functions as a comprehensive secret scanning engine that integrates directly into deployment pipelines and version control systems to intercept sensitive data before it is committed or pushed. By utilizing read-only operations and volatile memory processing, the system ensures that discovered credentials are never stored persistently, maintaining strict data privacy throughout the scanning lifecycle. The platform distinguishes itself through a privacy-focused architecture that relies on cryptographic fingerprinting to track and deduplicate findings without ever transmitting or storing raw sensitive values. It supports distributed scanning via independent agents that connect to a central dashboard, allowing for localized analysis while maintaining network isolation. Furthermore, the system provides automated incident response capabilities, including secret rotation and revocation, which help organizations minimize the window of vulnerability for compromised credentials. Beyond core detection, the project offers a broad capability surface for enterprise-wide access governance and security compliance. It includes modular detection logic for custom rule definitions, integration with external identity providers for role-based access control, and extensive monitoring across cloud storage, container infrastructure, and collaboration platforms. The system also provides detailed metadata tracing to link findings to specific users, pipelines, or commits, facilitating efficient remediation and auditability across large-scale development environments.