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Agentic System Oss

Open Source 24/7 Autonomous Agentic AI System

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Agentic System

24/7 Autonomous Agentic AI System - Distributed Multi-Node Infrastructure

Overview

A production-ready distributed AI system running 24/7 across multiple nodes with automatic workload distribution, cluster memory, and intelligent task routing.

Component	Description
`mcp-servers/`	19 Installable MCP servers for Claude Code CLI
`├─ enhanced-memory-mcp/`	4-tier persistent memory with auto-curation
`├─ agent-runtime-mcp/`	Task management, relay pipelines, circuit breakers
`├─ phoenix-cortex-mcp/`	Intelligent context sidecar (97% token reduction)
`├─ context-engine-mcp/`	Tool-RAG semantic search (94.8% reduction)
`├─ safla-mcp/`	High-performance embeddings (1.75M+ ops/sec)
`├─ research-paper-mcp/`	arXiv/Semantic Scholar paper search
`├─ video-transcript-mcp/`	YouTube transcript extraction
`├─ llm-council-mcp/`	Multi-provider LLM deliberation
`├─ ember-mcp/`	Quality enforcement and policy guardian
`├─ sequential-thinking/`	Reference to deep reasoning MCP
`├─ threat-intel-mcp/`	Threat intelligence aggregation (IOC feeds)
`├─ security-scanner-mcp/`	Nuclei vulnerability scanning
`├─ network-scanner-mcp/`	Network discovery and port scanning
`├─ hids-mcp/`	Host-based intrusion detection
`├─ dos-detector-mcp/`	DoS attack detection
`├─ nuclei-mcp/`	Direct Nuclei template management
`├─ web-vuln-scanner-mcp/`	Web application security testing
`├─ fraud-detection-mcp/`	Anomaly and fraud analysis
`└─ security-auditor-mcp/`	Security policy enforcement
`claude-config/`	Claude Code customizations
`├─ agents/`	Specialized sub-agents (7 agents)
`├─ commands/`	Slash commands (10 commands)
`├─ skills/`	Compositional skills (5 skills)
`└─ hooks/`	Pre/post tool execution hooks
`scripts/`	Setup and service utilities
`avir/`	AI-Verified Independent Replication protocol
`benchmarks/`	Standardized benchmark specifications
`docs/`	Architecture documentation
`bootstrap.sh`	One-command installation script

Why Prometheus?

Verifiable Results - Run the benchmarks yourself, see the numbers
Open Source - Full source code, no black box
Self-Hosted - Your data stays on your infrastructure
Extensible - Add your own agents, tools, and workflows

🚀 Quick Start

One-Command Installation

curl -fsSL https://raw.githubusercontent.com/marc-shade/agentic-system/master/bootstrap-open-source.sh | bash

For Existing Nodes

# Run AGI demo (~0.5s full workflow)
python3 demo_agi_workflow.py

# Check cluster status
python3 cluster-deployment/distributed_task_router.py cluster-status

# Distributed task execution
from cluster_offload import offload
result = offload("make build && make test")

🔬 Independent Verification

We invite researchers to verify this system's capabilities.

Method	Time	What You Verify
AVIR Protocol	~1 hour	AI-based cryptographic verification
Full Replication	1-2 days	Complete system benchmarking
Benchmark Suite	~5 min	GAIA-comparable performance

Latest AVIR Results (2025-12-17)

Verdict: VERIFIED (5/5 benchmarks passed)
Attestation: 13cf71841710554f3dfa6ddbaa4cb372006efdc167e44876c6f6fa1f3cdc438d

🏗️ Architecture

Cluster Nodes

Node	Role	OS	Capabilities	Status
mac-studio	Orchestrator	macOS ARM64	Coordination, scheduling	✅
macbook-air	Researcher	macOS ARM64	Analysis, documentation	✅
macbook-pro	Developer	macOS ARM64	Implementation, testing	✅
macpro51	Builder	Linux x86_64	Docker, compilation, GPU	✅

Core Components

┌─────────────────────────────────────────────────────────────┐
│                    Agentic System                           │
├─────────────────────────────────────────────────────────────┤
│  Security Layer (9 servers + hooks + encryption)           │
│  ├─ threat-intel-mcp     : IOC feeds, threat scoring       │
│  ├─ security-scanner-mcp : Nuclei vulnerability scanning   │
│  ├─ network-scanner-mcp  : ARP discovery, port scanning    │
│  ├─ hids-mcp             : Host intrusion detection        │
│  ├─ dos-detector-mcp     : DoS attack detection            │
│  ├─ web-vuln-scanner-mcp : OWASP web security testing      │
│  ├─ fraud-detection-mcp  : Anomaly & fraud analysis        │
│  ├─ security-auditor-mcp : Policy enforcement & auditing   │
│  └─ Pre/Post hooks       : Injection/credential scanning   │
├─────────────────────────────────────────────────────────────┤
│  Context Optimization Layer (97% token reduction)          │
│  ├─ phoenix-cortex-mcp   : Intelligent context sidecar      │
│  └─ context-engine-mcp   : Tool-RAG semantic search         │
├─────────────────────────────────────────────────────────────┤
│  Core AGI Servers (Model Context Protocol)                  │
│  ├─ enhanced-memory-mcp  : 4-tier persistent memory         │
│  ├─ agent-runtime-mcp    : Task orchestration               │
│  ├─ sequential-thinking  : Chain-of-thought reasoning       │
│  └─ safla-mcp           : High-speed embeddings             │
├─────────────────────────────────────────────────────────────┤
│  Workflow Engines                                           │
│  ├─ Temporal            : Long-running stateful workflows   │
│  └─ AutoKitteh          : Event-driven automation           │
├─────────────────────────────────────────────────────────────┤
│  Storage Layer                                              │
│  ├─ Qdrant              : Vector database                   │
│  ├─ SQLite              : Structured data                   │
│  └─ Redis               : Cache and queues                  │
└─────────────────────────────────────────────────────────────┘
         │                    │                    │
    ┌────▼────┐         ┌────▼────┐         ┌────▼────┐
    │ Claude  │         │  GPT-4  │         │ Gemini  │
    │ Reasoning│        │  Code   │         │ Vision  │
    └─────────┘         └─────────┘         └─────────┘
         │                    │                    │
    ┌────▼────────────────────▼────────────────────▼────┐
    │              Distributed Execution                 │
    │   mac-studio ←→ macbook-air ←→ macpro51           │
    └───────────────────────────────────────────────────┘
         │                    │                    │
    ┌────▼────┐         ┌────▼────┐         ┌────▼────┐
    │ Memory  │         │ Sandbox │         │Hardware │
    │ (Qdrant)│         │(Apple C)│         │(Arduino)│
    └─────────┘         └─────────┘         └─────────┘

Key Technologies

Apple Container - Native macOS sandboxed execution (1.5s cold start)
Qdrant - Vector database for semantic memory
Temporal - Long-running workflow orchestration
AutoKitteh - Event-driven automation
LLM Council - Multi-provider consensus decisions

📁 Repository Structure

agentic-system/
├── intelligent-agents/prometheus/   # Core agent system
│   ├── agents/                      # Specialized agents
│   ├── benchmarks/                  # GAIA-comparable tests
│   └── apple_container.py           # Sandbox integration
├── cluster-deployment/              # Multi-node tools
├── mcp-servers/                     # MCP protocol servers
│   ├── enhanced-memory-mcp/         # 4-tier memory + RAG
│   ├── agent-runtime-mcp/           # Persistent tasks
│   └── voice-mode/                  # TTS/STT
├── monitoring/                      # Prometheus + Grafana
├── workflows/                       # Temporal & AutoKitteh
└── databases/                       # Persistent data

📚 Documentation

Document	Description
CLAUDE.md	Complete system documentation
QUICK_START.md	AGI usage examples
GAP_ANALYSIS.md	Feature comparison vs Manus
Distributed Execution	Task routing guide
Research Paper	Academic documentation

🔒 Security

ED25519 SSH key authentication
Apple Container sandboxed execution
Network isolation by default
No hardcoded credentials
Firewall configured on all nodes

Documentation

Architecture Overview
MCP Ecosystem (28+ servers) - Complete catalog of all MCP servers
Security Architecture - Layered defense documentation
Services Configuration
Troubleshooting

MCP Ecosystem

This system is built on 28+ MCP servers organized by function:

Category	Servers	Highlights
Context Optimization	2	phoenix-cortex (97% reduction), context-engine (Tool-RAG)
Core AGI	4	enhanced-memory, agent-runtime, agi-mcp, safla-mcp
Cluster Coordination	4	cluster-execution, node-chat, claude-flow, code-execution
Knowledge Acquisition	3	research-paper, video-transcript, llm-council
Security & Defense	9	threat-intel, security-scanner, network-scanner, hids, dos-detector, nuclei, web-vuln-scanner, fraud-detection, security-auditor
Creative & Media	2	image-gen, voice-agi
Development	5	ember, file-analyzer, crypto-tools, synthetic-data, claude-code-control

See docs/MCP_ECOSYSTEM.md for the complete server catalog with installation instructions.

Security MCP Servers (Included in This Repo)

Server	Description	Key Features
`threat-intel-mcp`	Threat intelligence aggregation	Multi-feed IOC tracking (abuse.ch, CISA KEV, Feodo); threat scoring; IP/domain/hash lookup
`security-scanner-mcp`	Nuclei vulnerability scanning	Single target and cluster-wide scans; embedding-based anomaly detection; scan history
`network-scanner-mcp`	Network discovery and monitoring	ARP scanning; port scanning; service fingerprinting; cluster health monitoring; alert daemon
`hids-mcp`	Host-based intrusion detection	File integrity monitoring; anomaly detection; host security assessment
`dos-detector-mcp`	DoS attack detection	Traffic pattern analysis; attack recognition; mitigation triggers
`nuclei-mcp`	Direct Nuclei template interface	Template management; scan orchestration; result analysis
`web-vuln-scanner-mcp`	Web application security testing	OWASP coverage; automated scanning; report generation
`fraud-detection-mcp`	Fraud and anomaly analysis	Feature engineering (46 features); GNN fraud detection; SHAP explainability; async inference
`security-auditor-mcp`	Security policy enforcement	Compliance auditing; policy validation; security reviews

Security Architecture

The system implements defense-in-depth through three layers:

Layer 1: Hook-Based Runtime Protection (claude-config/hooks/)

pre-tool-use.py validates every tool call before execution: blocks destructive commands, detects SQL/command injection, prevents credential leaks in arguments
post-tool-use.py scans tool output for accidentally exposed secrets, logs all operations for audit trails

Layer 2: MCP Security Servers (9 servers listed above)

Active monitoring: network scanning, intrusion detection, DoS detection
Vulnerability assessment: Nuclei scanning, web application testing
Intelligence: threat feed aggregation, IOC correlation
Analysis: fraud detection with ML models, security policy auditing

Layer 3: Encryption and PKI (via claude-code-security)

AES-256-GCM encryption for data at rest
X.509 PKI for inter-node authentication
Token vault for secure credential management
See the linked repository for encryption, PKI, and token vault capabilities

See docs/SECURITY.md for the full security architecture documentation.

Research Paper

The full research paper documenting this system is available at:

research-paper/PAPER.md

License

MIT License - See LICENSE for details.

Built with Claude Code | Documentation | Benchmarks

Agentic System Oss

Reviews

Documentation

Agentic System

Overview

Why Prometheus?

🚀 Quick Start

One-Command Installation

For Existing Nodes

🔬 Independent Verification

Latest AVIR Results (2025-12-17)

🏗️ Architecture

Cluster Nodes

Core Components

Key Technologies

📁 Repository Structure

📚 Documentation

🔒 Security

Documentation

MCP Ecosystem

Security MCP Servers (Included in This Repo)

Security Architecture

Research Paper

License

Security Checklist