Achieving 98.4% Recall@5 on LongMemEval-S without a reranker, AKB is the agent-native knowledge infrastructure giving Claude Code, Cursor, Windsurf, and any MCP-aware agent persistent organizational memory — a drop-in replacement for Confluence or Notion where AI agents read and write directly rather than scraping human-formatted pages. Documents are stored as Markdown with YAML frontmatter in Git bare repositories (full version history, branching, diff), while PostgreSQL 16 serves as source of truth for chunk text, metadata, and BM25 vocabulary, with dense embeddings handled by a pluggable vector store (pgvector default, Qdrant optional, or managed Seahorse). Agents interact through 20+ MCP tools — akb_put, akb_search, akb_browse, akb_relations, akb_sql, akb_edit, akb_history — performing hybrid dense plus BM25 search fused via Reciprocal Rank Fusion in one call. The URI graph (depends_on, related_to, implements relations) lets agents traverse knowledge connections without external graph databases. Multi-tenant vault isolation is enforced at the PostgreSQL ACL level with per-user roles and SET LOCAL ROLE for SQL sandboxing. Event fanout streams structured events to Redis Streams for external consumers (synthesis bots, digest agents, audit trails), and a hash-chained append-only audit log integrates with enterprise SIEMs. Ships with agent plugins for Claude Code and Codex (session capture, wiki ingest, lifecycle hooks), Kubernetes kustomize manifests, and Open Knowledge Format export. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL 1.1 licensed (free under 100 seats, auto-converts to Apache 2.0 after four years).

That yogurt hiding behind the ketchup expired three weeks ago, and the flour you bought "just in case" has been sitting in the pantry since last winter. EverShelf replaces mental guesswork with a structured inventory system that tracks every item across pantry, fridge, freezer, and custom locations with precise quantities, expiry dates, and consumption patterns. Scan barcodes with your phone camera to add products instantly, or let the Gemini AI identify items from a photo and estimate shelf life based on storage location. The dashboard surfaces expired items and upcoming expirations with color-coded urgency badges, while anomaly detection flags suspicious quantities and consumption predictions that deviate from your history. Opened products get reduced shelf-life calculations; vacuum-sealed items get extended dates automatically. The recipe engine generates context-aware meal suggestions from your current inventory, prioritizing ingredients approaching expiry so nothing goes to waste; each recipe includes step-by-step cooking mode with text-to-speech narration and timer integration. A smart shopping list auto-populates when stock hits zero and syncs bidirectionally with the Bring! app, with AI-estimated prices per item and consumption forecasts showing when you will need to restock. For Home Assistant users, a native HACS integration provides 22 sensors, expiry calendars, bidirectional todo-list sync, and voice assistant support for adding items hands-free. A dedicated Kiosk mode optimizes the interface for wall-mounted tablets with BLE scale integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

One 18 MB Go binary does the job of Apache, Nginx, Varnish, Caddy, and cPanel combined. Point UWAS at your /var/www directory and it auto-detects sites, provisions Let's Encrypt certificates, enables HTTP/3 via QUIC, and activates a two-tier caching engine with L1 memory shards and L2 disk storage, all before you write a single line of configuration. The React 19 admin dashboard provides 42 management pages for domains, PHP versions, databases, cron jobs, DNS records, file management, backup and restore, SFTP users, and uptime monitoring with real-time SSE updates. PHP sites run through FastCGI with connection pooling and full .htaccess compatibility, so WordPress, Laravel, and legacy applications work without migration effort. The built-in WAF catches SQL injection, XSS, path traversal, and shell exploits, while per-domain rate limiting and bandwidth caps protect against abuse. Reverse proxy mode supports five load balancing algorithms, circuit breakers, canary deployments, and mirroring for blue-green rollouts. Git deploy clones your repository, runs the build, checks health, and restarts the service with rollback on failure. An MCP server lets AI agents manage domains, cache, and deployments through natural language. The Nginx and Apache migration CLI converts existing configurations to UWAS format automatically. Deploy on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

RocketplaneIO is a self-hosted AI SRE platform that gives Kubernetes clusters zero-instrumentation eBPF observability plus a copilot capable of safely diagnosing and fixing issues without your telemetry ever leaving your infrastructure. Point it at any cluster, and an eBPF DaemonSet starts capturing HTTP, gRPC, SQL, Redis, and Kafka spans across every service, including compiled binaries, with cross-service context propagation and no code changes required. The live service map draws itself from actual network traffic, matching technology logos from container images and coloring each node's health from RED metrics. Every log line sits two clicks from its parent distributed trace, and a PromQL query engine, embedded from the real Prometheus evaluator, runs over ClickHouse for long-term metric retention. The complete Kubernetes inventory (Services, Ingress, ConfigMaps, network policies, persistent volumes, CRDs) syncs continuously and is searchable alongside traces and logs. When the copilot identifies a problem, it picks from a catalog of roughly 30 risk-classified safe actions; each action verifies its preconditions, captures a before-state snapshot, executes, checks the result, and rolls back automatically on failure. Disruptive operations pause for explicit human approval before proceeding. An MCP endpoint exposes the identical guardrailed toolbox to external AI agents, so Claude Code or Cursor can operate the cluster through the same safety boundary the browser copilot uses. Complex remediations compose as searchable, forkable Starlark workflows that compile deterministically at save. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Started as an ExpenseOwl-inspired project, Wally grew into a lightweight, self-hosted expense tracker more capable in every direction its author touched. The backend is Python FastAPI over SQLite, which means every deployment ships a full REST API with interactive documentation at /api/docs - automating imports or wiring in external tools requires no reverse engineering, and when the optional login page is enabled you can mint scoped API keys from the Settings page for token-based integrations. The transactions view is built on AG Grid, bringing real search, column sorting, and per-column filtering to your ledger, with a footer totaling rows, income, and expenses for whatever slice you have filtered. Dashboards go beyond the usual monthly doughnut: a Change button swaps in year-scale line graphs so you can track a single category - restaurants, say - across time. Recurring transactions edit intelligently, letting you apply changes to all instances or only future ones. CSV import and export use a simple six-column format handled from Settings, the refined dark theme is genuinely easy on the eyes, and the interface is translated into more than ten languages. The whole thing runs from one small container with a single data volume.