Immich
A self-hosted photo and video backup platform with mobile auto-upload, albums, search and facial recognition.
OPEN SOURCE. YOUR WAY.
From open-source discoveries to self-hosted applications and AI workflows. Understand the tools, make your choice, and put your ideas to work.
Find software and alternatives that fit
From first install to reliable backups
Connect tools and automate routine work
THE SHORTLIST
Look beyond features: understand licensing, deployment, and maintenance.
A self-hosted photo and video backup platform with mobile auto-upload, albums, search and facial recognition.
A workflow automation platform with visual flows, code nodes and native AI capabilities that can be self-hosted.
A lightweight Bitwarden-compatible password manager for individuals and small teams that want control of their data.
A listing is not a test certification. Check each project’s license and requirements. Our standards ↗
FROM THE NOTEBOOK
Practical guides, considered choices, and the details that make a difference.
Athena is a local-first knowledge-management layer for IDE-based AI agents. It stores context as Markdown and adds hook-based guardrails, but its protections are partial and require careful deployment.
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Quarkdown extends Markdown with scripting and document-layout features for HTML, PDF, documentation, books, and presentations. Before adoption, verify browser dependencies, project fit, versioning, and GPL-3.0 obligations.
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Basic Memory connects AI clients to shared Markdown notes through MCP, with knowledge graphs and semantic search. Before adoption, review Python requirements, prerelease dependencies, sync, backups, and AGPL-3.0 obligations.
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OpenKnowledge is an open-source Markdown editor for knowledge bases, LLM wikis, specs, and notes. It offers desktop and local web interfaces, plus MCP, CLI, skills, and agent integrations. Before adoption, review the GPL license, platform packages, Git-based sharing, and AI access boundaries.
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Kestra is an open-source orchestration project for data, AI, and infrastructure workflows. It combines declarative authoring, visual editing, and plugins, but connector, storage, network, and 2.0 migration decisions need review.
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Trigger.dev targets TypeScript teams building long-running, observable AI workflows. This overview covers its features, deployment paths, and adoption considerations.
Read article →DEPLOYMENT NOTES
Make persistent data, backups, security, and upgrades part of your deployment plan.
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