Backed by 56,000+ GitHub stars and over 240 million Docker pulls, LiteLLM delivers the open-source AI gateway trusted by Netflix, Lemonade, Rocket Money, and thousands of engineering teams to route every LLM request through one unified API. The Rust-core gateway adds sub-millisecond overhead per request with 8ms P95 latency at 1,000 RPS, 15x throughput improvement and 11x lower memory footprint compared to Python-only proxies. A single OpenAI-compatible endpoint connects to 100+ providers and 1,800+ models spanning OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Hugging Face, vLLM, Nvidia NIM, Ollama, and Mistral with day-zero support for new model releases. The Auto Router V2 classifies request complexity across four tiers using rule-based scoring, semantic keyword matching, and adaptive Thompson sampling to route each request to the most cost-effective model without API calls or training data. Virtual API keys enable multi-tenant governance with per-team, per-user, and per-project cost tracking, budget caps with automatic fallback rerouting, and role-based access control. Built-in guardrails provide PII masking, prompt injection detection, and model-graded evaluation before requests reach providers. The Agent Gateway extends routing from model calls to agent workflows with MCP server integration. Observability integrates with Langfuse, Arize Phoenix, OpenTelemetry, and MLflow for complete request tracing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

CubeSandbox gives every AI agent its own hardware-isolated MicroVM with a dedicated Linux kernel — not a shared-kernel container but a true KVM virtual machine — booting in under 60ms with less than 5MB of memory overhead per instance, enabling thousands of concurrent sandboxes on a single server via kernel sharing and Copy-on-Write memory. The Rust-built CubeProxy exposes an E2B SDK-compatible REST API on Axum, so existing E2B Cloud applications switch by changing one environment variable with zero client code changes. CubeMaster orchestrates cluster-level scheduling in Go while Cubelet manages node-local sandbox lifecycles including create, run, pause, resume, snapshot, and destroy operations. CubeVS, the eBPF-powered network layer, enforces per-sandbox isolation with LPM trie-based egress policies entirely in kernel space — no userspace context switches — while CubeEgress provides an L7 security proxy with per-domain, per-path, and per-method allowlists plus automatic credential injection that keeps secrets invisible to sandbox code. Hundred-millisecond-granularity snapshots enable checkpoint, rollback, and parallel fork from any saved state. The volume framework supports E2B-compatible pluggable storage with independent lifecycle and cross-sandbox sharing. Production deployment uses Terraform on Tencent Cloud or Helm charts on Kubernetes, K3s, or TKE, with full ARM64 support alongside x86_64 and AutoPause/AutoResume for cost optimization. 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.

Trusted by Cal.com, WhiteBIT, and Documenso and backed by 8,800+ GitHub stars, OpenStatus delivers the open-source status page and uptime monitoring platform that replaces Atlassian Statuspage, Better Stack, and Instatus with a single self-hosted deployment. The monitoring engine runs Go-based probes across 28 global regions on three cloud providers checking HTTP, TCP, and DNS endpoints in parallel with configurable intervals and multi-region consensus to eliminate false-positive alerts. Status pages ship with custom domain support, password and email-domain access controls, maintenance windows, grouped monitor components, and subscriber notifications via email and RSS. Incident management provides structured status reports with investigating, identified, monitoring, and resolved timeline phases that publish automatically to affected status pages. The monitoring-as-code workflow supports YAML configuration synced through the CLI, a GitHub Actions integration for CI/CD pipelines, and a Terraform provider for infrastructure-as-code deployments. The typed ConnectRPC JSON-over-HTTP API exposes a published OpenAPI specification with a Node SDK for programmatic access, while an MCP server connects AI assistants like Claude, ChatGPT, and Cursor directly to workspace data. The tech stack combines Next.js with shadcn/ui for the dashboard, Hono for the API server, Drizzle ORM over Turso for application data, and Tinybird for analytics. Private monitoring locations deploy as a single 8.5MB Docker image behind firewalls to check internal services. 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.

Backed by the Linux Foundation with contributions from AWS, Cisco, IBM, Microsoft, Red Hat, and Shell, Agentgateway is the first data plane built from the ground up for AI agent workloads — providing a unified Rust-based proxy that handles conventional HTTP and gRPC traffic alongside MCP tool servers, A2A agent communication, and LLM inference endpoints through a single deployment. The LLM gateway routes requests to OpenAI, Anthropic, Gemini, AWS Bedrock, and other providers through an OpenAI-compatible unified API with per-tenant budget controls, spend tracking, prompt enrichment, load balancing across multiple model endpoints, and automatic failover when providers experience outages. The MCP gateway federates multiple tool servers behind one endpoint, supporting stdio, HTTP/SSE, and Streamable HTTP transports with built-in OAuth authentication compliant with the MCP auth specification, integrating Auth0 and Keycloak out of the box. OpenAPI integration exposes existing REST APIs as MCP-native tools without code changes, enabling legacy services to participate in agent workflows. Policy-based RBAC controls which agents access which tools, while OpenTelemetry integration provides distributed tracing across agent communication chains. Deploy as a standalone binary with flat YAML configuration or on Kubernetes using the built-in controller with Gateway API support for declarative infrastructure-as-code management. 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 over 5,000 GitHub stars since its June 2026 launch, OOMOL OpenConnector bridges the gap between AI agents and the real world by handling the authentication nightmare that stops LLMs from calling external APIs safely. The runtime connects to more than 1,000 SaaS providers — GitHub, Gmail, Notion, Slack, Microsoft, HubSpot, Google Workspace, and hundreds more — through 10,000+ prebuilt typed Actions that agents can discover and execute without ever touching raw credentials. OAuth2 flows, API key rotation, custom credentials, and no-auth providers are all managed centrally with AES-encrypted storage, scoped runtime tokens, and configurable action allowlists and blocklists that enforce least-privilege access. Agents interact through five access surfaces: the Model Context Protocol endpoint at /mcp for Claude and other MCP-capable hosts, a full REST API at /v1 for programmatic control, an auto-generated OpenAPI specification for code generation, a TypeScript SDK for application integration, and the oo CLI for local agent relay. The built-in Web Console provides browser-based administration for configuring OAuth apps, managing connections, inspecting action schemas, and reviewing execution logs with redacted inputs. Deploy via Docker Compose with SQLite for single-server setups, run from source on Node.js 22+, or push to Cloudflare Workers with D1 and R2 for edge deployment. 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.

Docker deployment reimagined as an app store: browse a visual catalog of applications, click to deploy with sensible defaults, and customize ports, volumes, and environment variables only when you need to. Point Yacht at any Portainer-compatible template JSON URL and it parses every application into a browsable, searchable interface with pre-configured settings ready for one-click launch. The template framework is fully decentralized — anyone can host template files on GitHub, a personal server, or any URL, creating a community-driven ecosystem of deployment packages without central gatekeeping. Template variables prefixed with ! automatically substitute server-level settings, so !config resolves to your configured path across every deployment without repetitive manual editing. The Python backend handles container lifecycle — start, stop, restart, kill, removal — while streaming real-time logs, providing browser-based shell access, and monitoring resource statistics through the Vuetify dashboard. Docker Compose stacks sit alongside individual containers in the same management interface. Advanced editing lets you modify port mappings, volumes, environment variables, and restart policies on running containers without redeployment. The develop branch introduces agent-managed remote host support for expanding management to additional Docker hosts. Authentication can be disabled for environments behind external proxies like Authelia or Traefik forward auth. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. CC-BY-4.0 licensed.

AWX transforms Ansible from a command-line tool into a centralized automation hub with a web UI, REST API, and distributed task engine for managing playbooks, inventories, and credentials at enterprise scale. The React-based dashboard provides real-time visibility into job status, inventory health, and execution history while Django REST Framework powers programmatic control over every automation resource. Job templates combine Ansible playbooks, inventories, and credentials into reusable units that chain together in workflow templates using directed acyclic graph orchestration with conditional branching on success, failure, or always-run logic and configurable convergence gates. The RBAC system built on django-ansible-base provides granular permission control over organizations, teams, projects, inventories, and credentials at object-level granularity. Dynamic inventory sources pull host data from AWS EC2, Google Cloud, Microsoft Azure, VMware vCenter, and Red Hat Satellite, while credential management securely stores SSH keys, cloud tokens, and vault passwords with HashiCorp Vault and CyberArk integration for external secret retrieval. Notifications deliver alerts via Slack, email, PagerDuty, Mattermost, IRC, and webhooks, while activity streams log every action for compliance auditing. The Receptor mesh network distributes job execution across isolated container-based execution environments with capacity-aware scheduling and hop-node routing for network-segmented infrastructures. Upstream of Red Hat Ansible Automation Platform. Deploys via Docker Compose with PostgreSQL and Redis or via the AWX Operator on Kubernetes. 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.

HAProxy Cluster Manager puts a web console on top of HAProxy, so you publish services, issue certificates, and cluster nodes from forms instead of hand-editing haproxy.cfg. Publishing a service takes two inputs, the public URL and the backend address, and the wizard builds the frontend, backend pool, host condition, routing rule, HTTPS listener, certificate, and HTTP redirect, with a preview of the exact configuration before anything applies. Every change is rendered and checked with haproxy -c before it is written, and a failed reload rolls back to the previous file automatically. Certificates come from Let's Encrypt through acme.sh, using HTTP-01 or DNS-01 with about 190 DNS providers, and renewals reload HAProxy and push the new certificate to every node on their own. Any number of nodes share one virtual IP through Keepalived: configuration and certificates sync between them, only the node holding the address is editable, and the dashboard flags split brain, an unclaimed virtual IP, or a node running stale configuration. You can gate services behind basic sign-in or OIDC single sign-on enforced by HAProxy itself, watch traffic statistics and logs, take transition alerts by email, Pushover, or webhook, and expose Prometheus metrics and Home Assistant entities. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Created by the developer behind Uptime Kuma and carrying over 23,000 GitHub stars, Dockge brings the same clean, reactive design philosophy to Docker Compose stack management with a web interface that makes Portainer's compose handling feel like editing YAML in a terminal over SSH. The interactive editor provides syntax highlighting, inline validation, and a live preview of your compose.yaml files while keeping every stack stored as a standard file on disk in /opt/stacks by default, meaning you can seamlessly switch between the web UI and the docker compose CLI without lock-in or proprietary database formats. Real-time WebSocket updates stream pull progress, container start/stop transitions, and build output directly to the browser with no polling delays. The built-in web terminal opens a shell session inside any running container for quick debugging, while the docker-run-to-compose converter transforms single-container run commands into proper compose.yaml definitions with one click. Multi-agent support introduced in version 1.4.0 connects multiple Docker hosts to a single Dockge dashboard, enabling centralized management of stacks distributed across different servers. Image update detection shows which stacks have newer versions available, and one-click updates pull the latest images and recreate containers without manual intervention. The stack is a single Docker container running on Node.js with Socket.IO for reactivity and stores no external database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 2,600+ GitHub stars since its May 2026 open-source launch, Knowhere solves the last-mile problem of document intelligence for AI systems — transforming complex unstructured PDFs, reports, and multi-page documents into structured JSON chunks that LLMs can consume without hallucination. The platform processes documents through an AI-native parsing pipeline that handles 20+ page documents with deep hierarchies, intricate tables, and multimodal content including images with OCR, achieving 95% precision in information extraction while reducing token costs by 50% compared to raw document ingestion. The knowledge tree architecture maintains historical context across multiple documents, enabling cross-document graph navigation for agentic retrieval that goes beyond simple chunk-based RAG. Built on Python 3.11+ with MinerU as the default PDF parser, the backend API runs alongside async workers that process document ingestion, graph construction, and embedding generation. The self-hosted Docker Compose stack packages the API server, processing workers, and Next.js dashboard for managing API keys, webhooks, and document-processing jobs, backed by PostgreSQL and Redis. Both Python and Node.js SDKs provide programmatic access for integration into existing AI pipelines and agent frameworks. LLM providers include DeepSeek and Alibaba Cloud DashScope with configurable key rotation for rate-limit management. Deploy 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.

The integrations your SaaS product offers its own users - that is what Nango, an open-source product-integrations platform, exists to build. It solves the repetitive infrastructure work behind every third-party API connection: OAuth flows, API key handling, token refresh, encrypted credential storage, rate-limit backoff, retries, and multi-tenant connection management. It ships pre-built auth configurations for 800+ APIs. Your users connect their accounts through an embeddable, white-label Connect UI, and your backend then reads or writes data through Nango's proxy, SDKs, or REST API without ever touching raw credentials. Integration logic is written as TypeScript functions covering actions, scheduled data syncs, and webhook processing - all running on one runtime with retries, checkpointing, and per-connection logs built in. Syncs pull records incrementally on a schedule, one-way or two-way, which suits RAG pipelines, search indexing, and keeping local copies of external data current. Selected actions can also be exposed as tool schemas or through a built-in MCP server, so AI agents operate on user-connected accounts without ever handling provider credentials. Auth support spans OAuth 2.0, OAuth 1.0a, API keys, basic auth, and JWT, and observability - logs, metrics, failure detection, and a reconnect flow for expired credentials - is scoped per customer connection for easier support debugging. Works with any backend language. Self-hosting on RepoCloud keeps all customer credentials and synced data on infrastructure you control, which matters for data residency and compliance requirements.

ServerKit delivers a server control panel that fits on a small VPS while managing everything from Docker containers to mail servers. The Python/Flask backend exposes 1,519 REST endpoints across 107 blueprints with full OpenAPI documentation at /api/v1/docs, while the React frontend spans 65 screens in a 1.75MB gzipped bundle served entirely from your own infrastructure. Docker management includes full container lifecycle control, Docker Compose project orchestration, real-time log streaming, and terminal access. Database panels cover MySQL/MariaDB and PostgreSQL with user management, browser-based query consoles, and automated backups to S3, Backblaze B2, or local storage. Nginx virtual host management automates Let's Encrypt certificate provisioning with hardened TLS 1.2+ configurations and Cloudflare-aware setups. The Go-based cross-platform agent enables multi-server fleet management with HMAC-SHA256 authentication over a WebSocket gateway, supporting Linux, Windows, and macOS across amd64 and ARM64 architectures. Fleet monitoring provides cross-server heatmaps, metric comparison charts, alert thresholds, anomaly detection, and capacity forecasting. A built-in marketplace distributes 106 one-click application templates using a declarative YAML schema with Docker Compose stacks. The extension system allows community plugins for Kubernetes management, Redis browsers, and WordPress site orchestration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Good European market data is either expensive or wrong, so Fonrex runs it all on your server: a self-hosted API serving per-listing prices, cross-checked fundamentals, DCF valuations, and factor models for European and US shares, with no subscription or per-call meter. Every price is stored per listing in its own currency and dated by trading session, so AIR.PA resolves to Airbus rather than a same-ticker US namesake, and one ISIN can carry many listings cleanly. Fundamentals are cross-checked between sources first; figures that disagree with the consensus are rejected, and every answer names the sources it came from. Value any company three ways with FCF, EPS, and dividend DCF models, compare them side by side, and stress the result with a WACC by growth sensitivity matrix. Factor tools return Kenneth French returns for the US, Europe, and developed markets, compute listing factor exposure, and price equity with the risk-free rate of the right currency, alongside FRED and ECB rates, Treasury curves, and Eurostat indicators. Daily history spans ten years, split-adjusted with a dividend-adjusted close; live ticks stream over WebSocket, indicators and a screener run on your stored prices, and deduplicated news arrives per ticker or as a global feed. Results plug into OpenBB Workspace, Google Sheets, Python notebooks, and Zipline backtests, so spreadsheets, dashboards, and research pipelines all read the same numbers. 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.

API keys hardcoded in repos, database passwords pasted into CI variables, .env files emailed between developers - Infisical, the open-source platform for secrets, certificates, and privileged access management, is the answer to all three. Secrets live in versioned stores scoped by project, environment, and path, with fine-grained identity-aware access control and full audit logging on every read and change. Delivery covers every consumption pattern: CLI injection into local dev, SDKs for Go, Node.js, and Python, an HTTP API, agents, a Kubernetes Operator, and secret syncs that push to GitHub, GitLab, AWS Secrets Manager, and Vercel. Automatic rotation replaces credentials for PostgreSQL, MySQL, MSSQL, LDAP, AWS IAM, and Azure on a rolling schedule - new credentials issue while old ones stay temporarily valid, so nothing breaks mid-rotation. Dynamic secrets go further, generating ephemeral, time-bound database credentials on demand, and SSH access replaces static keys with short-lived CA-signed certificates that expire automatically. Secrets scanning catches hardcoded credentials in code and pipelines, certificate management automates X.509 issuance and renewal, and a built-in KMS handles encrypt/decrypt with central key control. Self-hosting keeps the keys to everything else on your own infrastructure.

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.

ODS turns a GPU machine or server you already own into a complete private AI stack with a single install command, replacing a shelf of separate tools with one system that serves models, chat, agents, automation, and search from your own hardware. The installer reads your GPU, VRAM, memory, and disk, then downloads a GGUF model matched to that hardware tier, and a compact bootstrap model starts answering within minutes while the full model finishes downloading. From the web dashboard you watch every service's health, ports, and resource use, restart what misbehaves, and check storage and updates without touching a terminal. You chat with local models in Open WebUI, hand background work to the Hermes and Portal agents, and build automations in n8n that connect the stack to more than 400 other apps. Documents you add become searchable knowledge through Qdrant vector storage, so answers cite your files instead of the model's memory. SearXNG and Perplexica answer web questions without trackers or accounts, Whisper transcribes speech, Kokoro reads text aloud, and ComfyUI generates images, all on the same box. Every bundled service is an extension you can enable, disable, or replace, and a Privacy Shield scrubs personal data before anything reaches an optional cloud model through the LiteLLM gateway. 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.

Oh My CPA gives a CLIProxyAPI gateway a proper control room, where providers, OAuth credentials, client keys, model routing, and the cost of every request are managed and watched from one self-hosted console. You add providers such as Codex, Claude, Gemini, xAI, DeepSeek, Vertex AI, and OpenAI-compatible services, each with credentials, retry and error policies, priority, weight, and an enable switch the gateway actually enforces. OAuth accounts are signed in from the console, with quota window readings, refresh schedules, and per-credential model aliases kept next to the keys they belong to. Client keys can be created, named, and revoked, and those names follow the traffic into request records and filters so you always know which key spent what. The dashboard follows request volume, token throughput, cache hit rate, and cost from the last fifteen minutes out to ninety days, with a year-long token heatmap for the long view. Insights compare keys, models, providers, and credentials against the previous period, while the live routing view shows which credential each request travelled to and whether it was rerouted. Every request stays searchable, with duration, time to first token, token breakdown, and the raw log in a detail drawer. A playground tests any routed model with text and images before your users do. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 4,300 GitHub stars and a v3 release adding built-in user management, team views, and multi-language support, Kubero has established itself as the most feature-complete open-source Heroku alternative running natively on Kubernetes. The platform operates as a Kubernetes operator with two containers — kubero-ui and the operator — storing all state in etcd without an external database. Developers push code via Git integration with GitHub, GitLab, Bitea, or Gitea, and Kubero automatically builds using Buildpacks, Nixpacks, Runpacks, or Dockerfiles, then deploys to the configured domain with SSL via cert-manager. CI/CD pipelines support up to four staging environments — review, test, staging, and production — with per-stage environment variable isolation and ephemeral review apps that spin up on pull request open and tear down on close. The template catalog includes over 170 pre-configured applications like WordPress, Grafana, and PostgreSQL deployable in one click, while managed add-ons provide highly available PostgreSQL, Redis, MySQL, Kafka, CouchDB, Elasticsearch, and MongoDB alongside your applications. Security features include Trivy vulnerability scanning, GitHub and OAuth2 single sign-on, basic auth, and a role-based permission system with API tokens. The NestJS backend with Vue.js and Vuetify frontend provides application metrics, real-time logs, a built-in web console for container access, scheduled cronjob management, and deployment notifications via Discord, Slack, or webhooks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.