Teams that cannot send messages through someone else's cloud run Mattermost - the open-core, self-hosted alternative to Slack. It provides public and private channels, threaded discussions, unlimited search history, file sharing with previews, one-to-one audio calls, and screen sharing, with desktop clients for Windows, macOS, and Linux plus iOS and Android apps. Messages support full Markdown, which suits engineering conversations with code blocks and logs. Playbooks turn repeatable processes such as incident response and release management into checklist-driven workflows with automated triggers and retrospectives. Integration is a core strength: prebuilt connectors for GitHub, GitLab, Jira, ServiceNow, and PagerDuty, plus webhooks, slash commands, bots, a REST API, and a plugin marketplace with 700+ entries - together making it a working surface for ChatOps rather than just a chat room. Playbooks add keyword and event triggers, task assignment, status broadcasting, and post-incident retrospectives, so operational knowledge is not trapped in individuals' heads. The server is a single Go binary backed by PostgreSQL, with React clients, released monthly under MIT license and deployable fully air-gapped - which is why governments and defense organizations run it inside closed networks, and why the same control applies to any team with confidentiality requirements. The compiled Team Edition is free for unlimited users with no message history cutoff, so costs stay flat as the team grows.

MISP is an open source threat intelligence platform where analysts log indicators and incidents, see how they connect, and share them with trusted organizations. Each case is an event holding attributes and structured objects such as files, network connections, and email messages, with Markdown reports beside the machine-readable data. A correlation engine links events that share values, including fuzzy-hash and CIDR matches, and warning lists flag benign values before they cause false positives. Taxonomies and galaxies tag events with TLP levels, threat actors, malware families, and MITRE ATT&CK techniques. Analysts explore relationships in an event graph and a correlation graph with a timeline, and build drag-and-drop dashboards with maps and ATT&CK heatmaps. Sharing groups control who sees which event, and instances synchronize with partner organizations with distribution settings down to a single attribute. Free-text, URL, bulk, and STIX imports fill the database, and exports reach Suricata, Snort, Zeek, OpenIOC, CSV, STIX 1 and 2, and RPZ zones. A REST API, the PyMISP library, expansion modules, and workflows enrich data and automate publishing. ZeroMQ and Kafka streams announce every change to connected tools. 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.

When an alert fires, OnGrid investigates it for you: an AI operations agent that correlates metrics, logs, traces, and topology, then names the root cause in plain language. A coordinator agent hands each question to specialist SRE, network, or database sub-agents, and the incident investigator walks the service graph for blast radius, queries Prometheus, Loki, and Tempo, and pins the cause to a line of source code before posting its report back to chat. Lightweight edge agents on every host dial out over a single tunnel, so no inbound ports are opened, and operators can reach any machine through an audited browser shell. The agent works through more than 26 read-only inspection tools in a sandbox, while anything that changes production waits behind an approval gate. Ask questions or receive reports in Slack, Telegram, Larksuite, DingTalk, or WeCom, and run it on Anthropic, OpenAI, GLM, DeepSeek, Gemini, Kimi, or any OpenAI-compatible endpoint. A workflow builder turns triggers, agents, tools, and notifications into repeatable automations, and a knowledge vault indexes runbooks, incident history, and repositories for search. Enroll Kubernetes clusters to inspect workloads and manage upgrades, or discover network neighbors, verify them over SNMP, and map them into the topology. Role-based access separates admins, users, and viewers. 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.

Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Hunting for a suspicious file, process, or registry key across every endpoint becomes a single hunt in Velociraptor, an endpoint visibility and digital forensics platform. A web console sends tasks to clients on Windows, Linux, and macOS machines, which hold a persistent connection and run each task as soon as it is issued. A hunt runs a VQL artifact, one of more than 400 built in, across selected endpoints, picks up machines that reconnect later, and tracks which hosts have answered. Each hunt and collection opens into a notebook where markdown and live VQL cells group, filter, and timeline the results. A virtual file system browses a client's directories and fetches files through file, NTFS, and registry accessors, with hex and text viewers. Offline collectors bundle chosen artifacts into one binary that writes an optionally encrypted container for later import, suiting machines that never reach the server. Client event queries stream telemetry such as DNS lookups to the server, and server event queries can alert Slack, email, Elastic, or Splunk. Quarantine confines a host's network traffic to the Velociraptor server, and the Shell page runs commands on it. Sign-in works through Google, Azure, GitHub, OIDC, or SAML, with reader, analyst, investigator, and administrator roles. Responders reach for it during threat hunts, compromised host triage with KapeFiles targets, and dead disk image analysis. 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.

OpsiMate gives on-call teams one queue for alerts that would otherwise arrive in five different dashboards, each demanding attention in its own tab. Connect Grafana, Datadog, Zabbix, Uptime Kuma, Google Cloud, or any custom webhook source and watch incoming alerts land in one table with their source, service, severity, tags, and status attached. Filter the noise down to the team or service you own, group related alerts so one incident does not look like forty separate emergencies, and use mute policies when a known problem should stop paging people. Acknowledge work with one click, assign ownership so nobody wonders who is responding, resolve alerts from the same screen, and follow deep links back into Grafana or Zabbix when you need the original chart or trigger. Let supported integrations auto-resolve alerts when the underlying monitor recovers, and use root-cause notes and insights to keep the next responder from starting at zero. Discover services running in Docker, Kubernetes, and Linux virtual machines so the alert queue stays connected to the infrastructure behind it. 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.