bex is an open-source, self-hostable PaaS that positions itself as an AI-native alternative to Render, letting developers push Git and receive a deployed URL on their own Kubernetes infrastructure. Coding agents operate as first-class users via MCP alongside the dashboard, CLI, REST, and GraphQL interfaces, all backed by a shared Go core. The platform uses a Kubernetes operator with Cluster API for machine provisioning, supports Render-style `render.yaml` Blueprints for declarative service definitions, and ships managed Postgres, Key Value, logs, metrics, autoscaling, custom domains with TLS, and SSH access.
- 471 stars, 50 forks, 9 contributors — including Claude, Cursor, and Copilot listed as named GitHub contributors
- Apache-2.0 licensed; explicitly marked "not ready for production workloads" (public alpha)
- Language split: Go 58.5%, TypeScript 32.9%, Shell 6.7%
- Internal "lego" Go workspace enforces a strict `operator → types ← backend` one-way dependency DAG
- Tracks Render compatibility via an evidence-backed "parity ledger" (ADR018) rather than marketing claims
- Local quickstart provisions a kind cluster + Cluster API with Docker-container machines as tenant nodes
- Includes an Expo mobile app for safe supervision workflows (App Store listing present)
- Commit history references agent-driven QA rounds (w4/w5/w6 workstreams) and live dashboard re-probes
- 471 stars, 50 forks, 9 contributors — including Claude, Cursor, and Copilot listed as named GitHub contributors
- Apache-2.0 licensed; explicitly marked "not ready for production workloads" (public alpha)
- Language split: Go 58.5%, TypeScript 32.9%, Shell 6.7%
- Internal "lego" Go workspace enforces a strict `operator → types ← backend` one-way dependency DAG
- Tracks Render compatibility via an evidence-backed "parity ledger" (ADR018) rather than marketing claims
- Local quickstart provisions a kind cluster + Cluster API with Docker-container machines as tenant nodes
- Includes an Expo mobile app for safe supervision workflows (App Store listing present)
- Commit history references agent-driven QA rounds (w4/w5/w6 workstreams) and live dashboard re-probes
Jo Hinchliffe writes a tutorial for building a self-hosted personal knowledge management system inspired by Tiago Forte's *Building a Second Brain*. The setup pairs Logseq, a privacy-focused open-source note-taking app that stores everything as local Markdown files with a powerful tagging system, with Syncthing, a peer-to-peer file synchronisation tool that keeps the note database in sync across multiple Raspberry Pi devices without passing data through any cloud server.
- Syncthing is not a backup: deletions propagate to all linked devices, so a separate cron-driven rsync script is recommended for periodic backups
- Each tag in Logseq automatically becomes a page, creating a navigable graph of linked information
- Logseq currently installs only via Snap on Raspberry Pi OS
- The system was demonstrated on a Raspberry Pi 500, a Pi Zero, and a Uconsole (CM4)
- Logseq supports embedding links, videos, and even PDF annotation with tagging of specific pages
- Syncthing is not a backup: deletions propagate to all linked devices, so a separate cron-driven rsync script is recommended for periodic backups
- Each tag in Logseq automatically becomes a page, creating a navigable graph of linked information
- Logseq currently installs only via Snap on Raspberry Pi OS
- The system was demonstrated on a Raspberry Pi 500, a Pi Zero, and a Uconsole (CM4)
- Logseq supports embedding links, videos, and even PDF annotation with tagging of specific pages
mayukh4 writes a pair of bash scripts that transform a stock Android phone into either a GPU-accelerated Linux desktop (XFCE4, KDE Plasma, LXQt, or MATE) or an always-on Home Assistant smart home hub, all running inside Termux via proot-distro and Termux-X11. No root, no PC, and no cloud dependency are required—just an arm64 device with 3+ GB of RAM.
- GPU acceleration uses the open-source Turnip driver on Qualcomm Adreno chips, falling back to Zink + SwRast for Mali and other GPUs
- A custom `safe_install_pkg` function resolves Termux package conflicts by evaluating version constraints and `Provides`/`Replaces` declarations, preventing mid-install failures
- Home Assistant Core is deprecated upstream (2025) but remains the only realistic HA install method on a phone since HA OS and Container both require Docker or bare metal
- Wine is available via Hangover + Box64 for running Windows x86 apps on ARM64
- The repo has a companion YouTube walkthrough and a Chinese translation of the README
- GPU acceleration uses the open-source Turnip driver on Qualcomm Adreno chips, falling back to Zink + SwRast for Mali and other GPUs
- A custom `safe_install_pkg` function resolves Termux package conflicts by evaluating version constraints and `Provides`/`Replaces` declarations, preventing mid-install failures
- Home Assistant Core is deprecated upstream (2025) but remains the only realistic HA install method on a phone since HA OS and Container both require Docker or bare metal
- Wine is available via Hangover + Box64 for running Windows x86 apps on ARM64
- The repo has a companion YouTube walkthrough and a Chinese translation of the README
This repository provides an open-source face recognition software development kit (SDK) for Windows and Linux systems, developed by Faceplugin. It uaes deep learning models to offer on-premise processing of facial data, ensuring privacy as no information leaves the user's device. The toolkit supports various functions including face detection, landmark detection, feature embedding generation, and similarity comparison via Python APIs.
- Supports JPG, PNG, BMP, and TIFF image formats
- Compatible with both CPU and GPU acceleration
- Requires Python 3.9 or higher and Anaconda is recommended for setup
- Includes capabilities for bounding box extraction and facial landmark detection
- Supports JPG, PNG, BMP, and TIFF image formats
- Compatible with both CPU and GPU acceleration
- Requires Python 3.9 or higher and Anaconda is recommended for setup
- Includes capabilities for bounding box extraction and facial landmark detection
Smaug writes that Alexandrie is a powerful, open-source Markdown workspace designed for developers to organize notes with speed and clarity. The platform offers features such as syntax highlighting, live preview, smart organization through nested folders and tags, real-time collaboration, and one-click publishing for beautiful read-only documentation pages. It follows offline-first principles and allows users to self-host via Docker to maintain full data ownership.
- Released under the MIT license
- Supports LaTeX math equations and syntax highlighting for over 100 languages
- Offers a built-in CDN for uploading images and files
- Provides one-click publishing with custom domain support, SEO optimization, and password protection
- Released under the MIT license
- Supports LaTeX math equations and syntax highlighting for over 100 languages
- Offers a built-in CDN for uploading images and files
- Provides one-click publishing with custom domain support, SEO optimization, and password protection
Traceway is an OpenTelemetry-native observability platform that combines logs, traces, metrics, session replay, exceptions, AI tracing and on-call paging in one MIT-licensed tool that can be self-hosted with Docker in about 90 seconds or run embedded inside a Go app.
- Provides DuckDB telemetry backend for self-hosted mode and ClickHouse + PostgreSQL for standalone deployments
- Ships agent-first CLI and SKILL.md skills for Claude Code, Cursor and Codex to set up and query telemetry
- Symbolicator resolves minified production errors via memory-mapped .tw files with sub-millisecond lookups
- Provides DuckDB telemetry backend for self-hosted mode and ClickHouse + PostgreSQL for standalone deployments
- Ships agent-first CLI and SKILL.md skills for Claude Code, Cursor and Codex to set up and query telemetry
- Symbolicator resolves minified production errors via memory-mapped .tw files with sub-millisecond lookups
OpenTag is an open-source, self-hosted alternative to Claude for Slack. It enables users to run AI agents directly within Slack threads that can read conversations, answer queries, execute tools, and render rich, generative UI elements like tables and bar charts. Built on the CopilotKit SDK, it allows for complete ownership of the runtime and model without per-seat pricing or vendor lock-in.
- Open-source Slack AI agent
- Generative UI for rich message rendering
- Human-in-the-loop approval gates
- Multi-platform support via adapters (Discord, Telegram, WhatsApp)
- Self-hosted architecture for privacy and control
- Open-source Slack AI agent
- Generative UI for rich message rendering
- Human-in-the-loop approval gates
- Multi-platform support via adapters (Discord, Telegram, WhatsApp)
- Self-hosted architecture for privacy and control
The author details their attempt to set up a private mail server using Stalwart on an Ubuntu VPS. While the configuration of essential DNS records like SPF, DKIM, and DMARC was successful and the server avoided becoming an open relay, the project failed due to ISP restrictions blocking port 25. This meant that although outgoing emails could be sent, no incoming mail could ever reach the server. The article concludes that self-hosting email is complicated by external infrastructure factors beyond a user's control, making dedicated paid services often more practical for most people.
SnapOtter is a self-hosted image manipulation tool providing over 50 tools such as resizing, cropping, and watermarking. It includes a browser-based layer editor and local AI features like background removal and upscaling that run directly on the user's hardware without an internet connection. The application supports numerous file formats, offers a REST API, and is designed for privacy by keeping all image processing within the local network via a single Docker container.
- 50+ tools including resizing, cropping, and conversion
- Browser-based layer editor with filters
- Local AI capabilities like background removal and upscaling
- Single Docker container deployment for simplicity
- Privacy focused local network processing
- 50+ tools including resizing, cropping, and conversion
- Browser-based layer editor with filters
- Local AI capabilities like background removal and upscaling
- Single Docker container deployment for simplicity
- Privacy focused local network processing
An overview of ESPConnect, a free self-hosted web utility used to manage and flash ESP32 microcontrollers. The tool provides detailed hardware profiling for various MCU models, allows for advanced partition management, and enables flashing firmware or creating system backups through filesystem access. It also includes essential debugging features like an NVS Inspector and a Serial Monitor.
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
