Plasma

Real-Time Intelligence Platform

Plasma is an open-source platform built on composable components. Deploy AI/ML workloads, event-driven flows, and real-time analytics at scale.

🌐 Website: plasma.sh

What is Plasma?

A complete digital operating system for organizations - sensing what's happening, processing intelligently, and responding appropriately in real-time.

Core Philosophy

Real-time intelligence - every component processes, analyzes, and acts on data as it happens.

Key Features

• 🧠 AI-Native: ML/AI workloads as first-class citizens
• ⚡ Real-time Processing: Instant data processing and response
• 🔧 Composable Architecture: Reusable, interconnected components
• 🎯 Event-Driven: Trigger flows based on real-world conditions
• 🔓 Open Source: Transparent and customizable
• 🏢 Enterprise-Ready: Security, compliance, and scalability included

Architecture

8-Layer System

• Foundation: Infrastructure and observability — public cloud, private cloud, on-prem, air-gapped
• Integration: Central hub for all business data exchange (all data flows through here)
• Cognition: AI/ML, analytics, and real-time intelligence processing
• Conversation: Natural language processing, chatbots, and AI interactions
• Vision: Computer vision, image recognition, visual perception
• Audition: Audio processing, speech recognition, acoustic perception
• Interaction: Dashboards, visualization, monitoring, and external interfaces
• Stabilization: System health monitoring and performance optimization across all layers

Component Model

Plasma uses two parallel three-layer patterns:

Event-Driven Components

Function (computation) → Skill (configuration) → Agent (orchestration)

• Functions: Universal computational units (e.g., washer)
• Skills: Configured functions for specific use cases (e.g., car-wash, hand-wash)
• Agents: Event- or schedule-triggered execution; an agent embeds its trigger and selects a skill from its repertoire (e.g., "wash the car when it returns from the countryside")

Application Components (Infrastructure)

Software (computation) → Service (configuration) → Application (orchestration)

• Softwares: Core programs (e.g., Postgres, Grafana)
• Services: Configured deployments (e.g., dashboards_postgres, dashboards_grafana)
• Applications: Orchestrated business capabilities (e.g., dashboards app)

Use Cases

• Digital Agencies: Project and communication management
• Enterprises: Real-Time Business Intelligence and Automation
• Industry: Real-Time Operations Intelligence Platform
• Startups: Rapid scaling with built-in best practices
• Data Teams: Real-Time analytics and ML pipelines

Deployment

Deploy anywhere:

• On-premise and private clouds
• Public clouds (AWS, Azure, GCP)
• Hybrid and multi-cloud environments

License

EUPL-1.2

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Learn more: https://plasma.sh

Documentation: https://docs.plasma.sh