On a schedule you choose, Pluton backs up your folders to cloud storage and other disks, then lets you verify and restore every snapshot and see exactly what happened in a clean, self-hosted web dashboard. Three copies: every plan writes to a primary storage and can replicate to up to two more, so the 3-2-1 rule is a toggle in the plan wizard rather than a weekend project. Two kinds of media: pair a local disk or mounted drive with Backblaze B2, Cloudflare R2, Google Drive, Dropbox, pCloud, SFTP, S3-compatible buckets, or any of 70+ connectors, and press Verify to test a connection before trusting it. One place to look: the plan page charts file counts and sizes over a selectable range, a health strip colors recent runs, and a live panel counts files, bytes, and time remaining while each mirror initializes and replicates. Zero mysteries: every backup keeps a timestamped event timeline from dry run to pruning, and plan logs filter by level and task, search messages, and download as a file. Schedules run from every few minutes to monthly, including chosen weekdays; retention keeps daily, weekly, and monthly snapshots; and scripts can run before or after a job. Alerts reach you by email, Slack, Discord, or ntfy, and optional two-factor sign-in guards the dashboard. 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.

With 37,000 GitHub stars and over 45 million downloads powering 500,000+ deployed projects, Directus is the most widely adopted open-source backend platform that connects to your existing SQL database without requiring schema migrations or data duplication. Point it at PostgreSQL, MySQL, MariaDB, MS SQL, SQLite, OracleDB, or CockroachDB and it instantly generates production-ready REST and GraphQL APIs complete with filtering, sorting, pagination, field selection, and relational queries — all derived from your actual schema with zero configuration. The visual Studio provides a full no-code management interface where non-technical teammates create content, manage assets, build dashboards, and configure access policies without engineering involvement. Field-level granular permissions govern every API request and Studio action through composable policies applied to roles, users, and AI agents identically. A built-in AI Assistant writes copy, translates content across languages, creates records, and routes items for review directly within the Studio interface. The native Model Context Protocol server connects Claude Desktop, Cursor, ChatGPT, or any MCP-compatible tool to your live data governed by the same access policies. Real-time WebSocket subscriptions push collection changes instantly for collaborative editing and live dashboards. Extensibility covers custom endpoints, hooks, interfaces, displays, layouts, modules, and operations. Deploy via Docker with environment-variable configuration or use Directus Cloud for managed hosting. 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 with free self-hosting.

A plain text journal is all Paisa needs to put your net worth, cash flow, expenses, and investment returns on one set of dashboards. Write entries in the built-in editor. It brings syntax highlighting, auto completion, error checking, and auto formatting to double-entry journals. Bank and credit card statements in CSV, Excel, or PDF import through reusable templates that categorize every transaction. Price providers track mutual funds, NPS holdings, and stocks. Manual prices revalue a house, a car, or a plot of land. Budgets set a limit for each category and track spending against it. Allocation targets show how far a debt and equity split has drifted. Goals compute a completion date from monthly savings. The retirement planner works from a safe withdrawal rate and yearly expenses. A calendar marks recurring bills as cleared, late, past due, or upcoming, and Liabilities pages cover credit cards, loan repayment, and interest. Live Sheets calculate taxes and EMIs from ledger data. Journals and settings stay in plain text files that can be version controlled or shared, and ledger, hledger, and beancount are all supported. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0-or-later licensed.

Every bug a team finds, from the first report to the day it is marked resolved, lives in one shared list in MantisBT, an open-source issue tracker. Reporters file issues with a summary, steps to reproduce, severity, and attachments, and email notifications reach the reporter, the handler, monitors, and note authors. Six access levels, from viewer to administrator, can be overridden project by project, and private projects stay hidden from users below the configured level. Administrators define their own status values, workflow transitions, and custom fields. Sub-projects inherit versions and categories from their parents, and issues link as related, parent and child, or duplicates. @mentions pull colleagues into a discussion, tags group related work, and a chronological history records who changed what. Triage works from stored and shared filters, the My View page, and summary charts, while a roadmap and changelog track what each version contains. Reporting comes through CSV and Excel export, optional time tracking with billing totals, and RSS feeds. Sign-in can use LDAP or Active Directory, scripts reach the tracker through REST and SOAP APIs, plugins extend the interface, and 50 languages are included. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0-or-later licensed.

Automating PostgreSQL backup lifecycles across local volumes and S3-compatible object storage, PG Back Web gives database administrators and developers a self-hosted web console to schedule, encrypt, monitor, download, and restore database dumps without writing manual shell scripts. Instead of maintaining fragile crontab entries across individual database servers, you register PostgreSQL 13, 14, 15, 16, 17, or 18 instances in one dashboard and define recurring backup schedules with custom retention policies and timezone-aware timestamps. Each backup execution can target local directories or multiple S3 buckets across providers like AWS S3, MinIO, Backblaze B2, and Cloudflare R2, with built-in connection testing and presigned download links for rapid archive retrieval. To protect sensitive production records at rest and in transit, the platform applies PGP encryption to dump files while encrypting stored database connection strings and bucket credentials. Real-time execution logs record exact archive sizes, durations, and output streams, and the web interface lets operators trigger on-demand dumps, duplicate existing backup jobs, or run direct browser-based restorations when disaster recovery is required. Automated background health checks continuously verify connectivity to every registered PostgreSQL database and storage destination, firing configurable HTTP webhooks to Slack, Discord, or incident pipelines whenever a backup completes, fails, or changes health status. Running 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.

Pomodoist pairs a task manager with a Pomodoro timer, so the list of what to do and the clock that gets it done live in the same app. Type a task the way you would say it and the quick-add bar sets its priority and estimates its Pomodoros as you type, filing it into the Inbox, Today, or Upcoming views. Plan the week on a calendar, drag cards across a kanban board, spread work along a timeline, or sort it into a four-quadrant priority matrix when everything feels urgent. Start a focus session and the timer tracks intervals against the task at hand, with configurable work and break lengths, while a 3D desktop companion focuses, rests, and celebrates along with you. Share a project and the discussion stays beside the tasks, with comments on shared items and the team's focus time visible next to the work itself. Reports chart weekly focus time, completed tasks, and habit streaks, and voice notes can become task checklists when typing is not an option. An MCP endpoint lets your AI tools manage the same projects after an OAuth sign-in, and optional Google Calendar and Telegram integrations meet the planner where you already are. The self-hosted instance unlocks every feature locally, with your own accounts and one-command backups of the whole database. Running 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.

Trusted by thousands of organizations with over 30 million monthly downloads and 20,000+ GitHub stars, MLflow is the largest open-source AI engineering platform providing end-to-end lifecycle management for traditional ML models, LLMs, and AI agents. The OpenTelemetry-based tracing system captures complete request flows through any LLM provider or agent framework — including OpenAI, LangChain, DSPy, Vercel AI, PydanticAI, and smolagents — with one-line auto-instrumentation that tracks inputs, outputs, token usage, and costs at every intermediate step. MLflow's evaluation engine offers 50+ built-in metrics and LLM judges for systematic quality assessment, detecting issues across correctness, latency, adherence, relevance, and safety dimensions before code reaches production. The Prompt Registry versions, tests, and deploys prompts with full lineage tracking while automated optimization algorithms improve prompt performance using evaluation feedback. The AI Gateway provides a unified API endpoint for all LLM providers, enforcing rate limits, cost controls, and access policies across the organization. MLflow 3.0 introduces the LoggedModel abstraction linking traces, metrics, and prompts to specific model versions across Python, TypeScript, Java, and R SDKs. The model registry manages deployment workflows with automated quality gates, while experiment tracking records parameters, metrics, and artifacts across training runs. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache License 2.0 licensed.

Mixpanel, OneSignal, and Crashlytics in one self-hosted stack - Countly is an all-in-one product analytics and engagement platform where every byte of first-party data stays on your server. A Node.js application over MongoDB, it collects through ten battle-tested SDKs spanning iOS, Android, web JavaScript, React Native, Flutter, Unity, and desktop (plus a data write API for anything else), and has powered tens of thousands of mobile, web, and desktop apps since 2012. The analytics core covers sessions, custom events, views, user profiles, and real-time dashboards, with exploration tools built for product managers as much as analysts. What separates Countly from pure analytics tools is acting on the data without third parties: built-in push notifications send automated, transactional, and personalized messages to iOS (APNs), Android (Firebase), and Huawei devices, with the SDK handling token retrieval and permission flows automatically; crash reporting captures symbolicated native crashes on iOS and Android plus JavaScript errors, correlated with the same user and session data. Email reports keep stakeholders updated, and the plugin-based architecture means features load as modules. For GDPR-sensitive products, engagement without piping user data to advertising companies is the entire point. AGPL-licensed server, installable in minutes.

Spam bots flood busy Telegram groups with crypto scams and phishing links faster than human admins can delete them; TG-Spam watches every message and removes the junk before your members see it. Each message is scored by several checks at once: similarity to known spam samples, a stop-word dictionary, emoji and link counts, and a lookup against the Combot Anti-Spam database of known spammers. For borderline cases you can add OpenAI or Gemini as an extra judge, or write your own detection rules as Lua plugins that run inside the bot. The bot learns while you moderate: when admins approve a flagged message or ban a user it missed, the samples update, so the same trick fails next time. Members can report spam with a reply, repeat offenders accumulate warnings toward an automatic ban, and an admin chat gives your team one place to review borderline calls. Turn on the built-in server and the same engine answers spam checks over HTTP for your other tools, with a web UI to test messages, manage samples and dictionaries, and control the approved-user list. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Marimo is a reactive Python notebook that treats cells like spreadsheet formulas: change one cell or interact with a UI widget and every dependent cell automatically re-executes, eliminating the hidden state bugs that make traditional notebooks unreliable. Backed by over 22,000 GitHub stars, notebooks are stored as pure Python files with PEP 723 inline metadata, making them Git-diffable, importable as modules, executable as CLI scripts with parameterized arguments, and testable with PyTest. Built-in SQL cells query Polars, Pandas, PyArrow, DuckDB, SQLite, PostgreSQL, and MySQL databases, with results automatically flowing into the reactive dependency graph. The AI-native editor provides GitHub Copilot autocomplete, context-aware assistants that access live runtime variables, inline code edits powered by configurable models from OpenAI, Anthropic, or local Ollama instances, and a pair mode that lets external AI agents connect over WebSocket. Notebooks become read-only interactive web applications with marimo run, collaborative authoring environments with marimo edit, or embedded flows inside existing FastAPI applications through ASGI middleware. Gallery mode serves multiple notebooks from a single instance with an auto-generated index page. The Docker image ships with SQL support, token-based authentication, health check endpoints at /health and /api/status, and configurable WebSocket or SSE kernel transport for proxy compatibility. 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.

From the first rack to the last circuit, Nautobot is the open-source network source of truth that records what your network should look like and runs automation against it. Built-in models cover locations, racks, devices, interfaces, cables, VLANs, VRFs, IP prefixes, circuits, and contacts, so one searchable record replaces the spreadsheet and the wiki. Teams encode their own standards with custom fields, user-defined relationships, computed fields, and validation rules. Config contexts attach JSON or YAML data, such as syslog servers, to devices by location, role, platform, or tag. Jobs run your own automation code from the web UI, REST API, or command line, on a schedule, or through hooks when an object changes, with approvals and logs built in. Query the data over REST or GraphQL, and let the GraphiQL editor autocomplete a device and interface query you can save inside Nautobot. When an object is created, updated, or deleted, webhooks notify outside systems, with Jinja2-templated bodies and HMAC SHA-512 signatures. Git repositories can carry export templates, Jobs, and config contexts too, so YAML data and Jinja2 templates get pull request review before Nautobot syncs them. Open-source Apps add Golden Configuration for config backup, compliance, and remediation, Device Lifecycle for hardware tracking, SSoT for syncing other systems, and ChatOps. Object permissions and change logging keep a shared instance auditable. 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.

Sage Wiki turns a pile of unstructured documents into a fully interlinked, searchable wiki by running them through a five-pass LLM compiler pipeline. Inspired by Andrej Karpathy's vision of LLM-compiled knowledge bases, the pipeline processes source files through diff detection, summarization, concept extraction, image captioning, and cross-reference discovery, with parallel LLM calls and checkpoint/resume for vaults scaling to 100,000+ documents. The typed ontology graph stores entities and relations with BFS traversal, configurable relation types, multilingual synonyms, and a promotion/demotion lifecycle backed by grounding verification and consensus scoring. Multi-format ingestion handles Markdown, PDF, Word, Excel, PowerPoint, EPUB, email, CSV, images, and code files without manual tagging. LLM provider support spans Anthropic, OpenAI, Gemini, Ollama, and any OpenAI-compatible API, with per-pass model routing enabling cost optimization by assigning cheaper models to simpler tasks. The built-in MCP server exposes 17 tools over SSE transport for integration with Claude, Cursor, and any MCP-compatible agent, while native Obsidian vault overlay ensures existing note workflows remain undisrupted. Team deployment supports Git-synced shared wikis, centralized server access, and hub federation across multiple projects. Ships as a single Go binary with Docker Compose multi-arch images serving the web UI on port 3333. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every team building with coding agents has the same drawer problem: the best Skill, MCP server, or agent file lives in one person's repo, undocumented, while three colleagues rebuild it from scratch. Agentic Resource Registry is the internal catalog that ends the duplication, a self-hosted registry where your organization publishes Skills, MCP servers, hooks, prompts, agent files, and sandboxes in one searchable place. Browse by teamspace, publisher, category, or harness and see at a glance what each resource supports and how often it has been pulled. Authors build agent files in a four-step builder with a live summary and draft readiness checks, then submit them into a review queue where admins inspect the full prompt and version diffs before approving. Forking an approved release creates your own draft with pinned components, and reviewers can compare it against upstream line by line. The companion CLI installs any approved resource into Claude Code, Cursor, Codex, Kiro, Copilot, OpenCode, Pi, and more, generating the correct config for each harness automatically. Approved resources are also discoverable over the open ARD standard, so a running agent can hand part of its task to another approved agent or a remote A2A service. 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.

To pull a team's skills, MCP servers, hooks, prompts, and agent files out of scattered Git repositories, Observal keeps them in one reviewed registry and traces real sessions to show which ones help. Build an agent visually, with a live config preview for every harness. Submissions wait in an admin review queue, where reviewers inspect side-by-side version diffs before approving a release. Teamspaces give each team its own namespace, and approved releases can be forked into independent drafts. One pull command then writes the right config for Claude Code, Cursor, Kiro, Codex, Copilot, Pi, OpenCode, Antigravity, or Goose. Every approved resource is discoverable through the open Agentic Resource Discovery standard, and a running agent can hand part of its task to another approved agent or a remote Agent2Agent service. Hooks record each session as a trace of prompts, tool calls, MCP round trips, tokens, and errors, with turn-by-turn replay for debugging and audits. Insight reports, generated through providers such as Anthropic, OpenAI, or Ollama, list what is working, what is hindering, and quick wins. A dashboard follows adoption, cost, and department usage, a leaderboard ranks agents by downloads, and audit logs, SAML single sign-on, and SCIM provisioning are included. 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.

BitRouter is a context-aware LLM router that learns which model delivers the cheapest successful outcome per workflow step, cutting agent costs by up to 80% while maintaining 96% quality versus all-frontier baselines. Point any agent runtime at http://localhost:4356 with a one-line OPENAI_BASE_URL change and BitRouter routes to OpenAI, Anthropic, Google, Groq, DeepSeek, Mistral, Moonshot, MiniMax, Nvidia, and any OpenAI-compatible endpoint simultaneously, normalizing authentication, streaming, and cross-protocol translation between wire formats. The act-observe-evaluate-learn loop traces every hop with cost, tokens, and latency attribution, scores each decision against a versioned policy-lock.yaml, then tightens routes automatically with no LLM judge in the path. Native MCP gateway auto-discovers tools from connected servers and makes them routable and governed alongside model calls. Agent Client Protocol integration enables the TUI to manage Claude Code, Codex, OpenCode, OpenClaw, Gemini, and Copilot sessions in real time with inline tool-call approval and live streaming. Built-in guardrails inspect, redact, or block risky content before requests leave your network. Virtual keys scope API access per agent or user without exposing upstream credentials. Per-agent spend caps and loop guards contain runaway cost automatically. Multi-account failover reroutes mid-run so rate limits never re-pay completed work. Ships as a single Rust binary via npm or Cargo. 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.

Forge intercepts failing LLM tool calls and fixes them before they derail your agent workflow, applying rescue parsing, retry nudges, response validation, and step enforcement between your AI clients and local model backends. The proxy server mode drops in as a transparent intermediary speaking both the OpenAI chat-completions API and the Anthropic Messages API, so tools like Aider, Claude Code, Continue, and opencode connect through it without configuration changes. Under the hood, the WorkflowRunner provides a complete agentic loop manager with system prompt injection, tool execution, context compaction with configurable thresholds, and VRAM budgeting for consumer GPUs with 12-32 GB. SlotWorker enables priority-queued access to shared inference slots with automatic preemption for multi-agent architectures. The guardrails middleware exposes a two-method check-and-record API that wraps into any existing orchestration loop, providing malformed tool-call rescue parsing, retry nudge generation, required step enforcement, and prerequisite ordering without taking over execution control. Backend adapters support generic OpenAI-compatible endpoints, Ollama, llama-server, Llamafile, vLLM, and Anthropic with automatic model discovery and health checking. Architecture Decision Records document every design choice. Launched February 2026, already at 2,200+ GitHub stars. MIT licensed.

Omni is an open-source workplace AI agent and enterprise search platform that unites your company's scattered tools into a single context-aware workspace where team members can find answers and automate cross-application workflows. Employees can query connected knowledge sources including Google Drive, Gmail, Slack, Jira, GitHub, Confluence, and HubSpot to locate project specifications, customer records, and operational documents without jumping across tabs. The integrated AI assistant answers complex multi-step inquiries, summarizes lengthy email threads, and cites exact source passages so workers can verify factual accuracy before making business decisions. Granular permission inheritance mirrors existing access controls across every connected service, guaranteeing that sensitive personnel files, financial statements, and confidential repositories remain hidden from unauthorized staff. Engineers can construct bespoke data connectors and define automated agent skills through the extensible Python and TypeScript software development kits, triggering multi-service actions directly from interactive chat dialogues. Administrators can monitor background synchronization jobs, inspect audit trails, manage single sign-on access, and configure custom extraction pipelines using centralized operational dashboards. 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.