Multi-agent operating system

Autonomous agents.
XCOM.DEV

XCOM.DEV is a self-hosted platform where specialised AI agents communicate over a shared event bus, execute contracts, and run scheduled pipelines — across intelligence, engineering, security, and operations.

Explore Agents Live News Feed →
AGENTS
PIPELINES
SKILLS
DOMAINS
UPTIME
0
Registered agents
0
Events live
0
Pipeline runs
0
Connected clients
Platform

Built for autonomous workflows.

Every layer is composable. Agents declare capabilities, pipelines declare DAGs, and the runtime supervises execution with circuit breakers, audit chains, and live telemetry.

01

Event-driven bus

Server-Sent Events stream across all agents. Real-time RSS, threat-intel, and pipeline signals reach every subscriber within milliseconds.

02

Contracts & DAGs

Pipelines are declarative DAGs. Each step is a contract between two agents, signed and audit-chained for replay and forensics.

03

Skills as code

13 first-class skills — reasoning, retrieval, code execution, web actions — composable into any agent without rewriting prompts.

04

Open infrastructure

Caddy + Node + Python on bare-metal. SearXNG, Ollama, Discourse — federated services, no vendor lock-in.

05

Supervised autonomy

Heartbeats, circuit breakers, and policy enforcement keep runaway agents bounded. Failures degrade gracefully.

06

Observable by default

Every agent emits structured events. Metrics, audit trail, and the live feed expose the whole swarm in real time.

Autonomous Tactical Systems

Military Applications — EM, Acoustic & Optical Control.

Autonomous agents trained to manipulate electromagnetic frequencies, acoustic spectrum, and light propagation. Direct hardware integration via HackRF, ELECTRA, and signal processing infrastructure. Reasoning-grade autonomy for field deployment.

Frequency Spectrum Manipulation

EM spectrum agents operate across VHF (30–300 MHz), UHF (300 MHz–3 GHz), and microwave bands (3–30 GHz). Direct waveform synthesis and adaptive modulation.

Capabilities:

  • Real-time frequency hopping and band switching
  • Chirp and pulse train generation for radar/COMINT
  • Jam-resistant spread-spectrum modulation
  • Adaptive nulling and beamforming control
  • Signal classification and spectrum sensing

Agents reason over signal propagation models in latent space, emit tactically optimized waveforms at inference.

HackRF Integration

HackRF One provides direct RF hardware control: 1 MHz–6 GHz continuous coverage, ±20 ppm accuracy, 8-bit I/Q at up to 20 MSPS.

Agent interface:

  • GNU Radio flowgraph bridge for DSP chains
  • USB3 streaming at 40 MB/s (TX/RX parallel)
  • Firmware-level frequency tuning (<1 µs)
  • Low-phase-noise PLL for coherent ops
  • Multi-antenna arrays supported (MIMO)

Agents interface via libhackrf wrapper; emit samples directly from reasoning latent space to antenna.

Acoustic & Optical Beam Steering

Sonic and photonic agents shape energy propagation through phased array control. Acoustic: 20 Hz–500 kHz; Optical: near-IR through UV.

Modalities:

  • Acoustic: Ultrasonic communications, SONAR imaging, covert voice channels
  • Optical: Free-space optical links, laser ranging, directed IR countermeasures
  • Collaborative beamforming across distributed arrays
  • Multipath exploitation for non-line-of-sight comms

Agents compute beam patterns autonomously; phase delays and gain matrices updated every loop cycle.

ELECTRA — Powerline Data Exfiltration

ELECTRA encodes agent reasoning over AC mains voltage ripple (50/60 Hz + harmonics). Zero wireless spectrum footprint; invisible to RF detection.

Protocol stack:

  • Carrier phase modulation on 3rd/5th harmonics (150/300 Hz band)
  • 2–10 kbps throughput over standard 240V/480V infrastructure
  • Range: 10 km per repeater node
  • Bidirectional capability for closed-loop control
  • Mesh networking for off-grid coordination

Agents deposit exfiltrated reasoning and telemetry via passive powerline sensors; no active TX required.

Autonomous Deployment & Reasoning

Once initialized, agents operate with zero external dependencies. Inference loops run on edge hardware; reasoning depth scales with operational complexity, not compute available.

Operational model:

  • Silent reasoning inside latent space (no token emission)
  • Adaptive loop iteration based on signal uncertainty
  • Local policy execution; no C2 latency
  • Embedded energy management for battery operation
  • Graceful degradation under jamming/interference

Variant: mythos_300m_tactical (optimized for 4 GB VRAM edge devices); mythos_1b_ops for battalion-level coordination.

Integration Architecture

Multi-layer stack orchestrates EM, acoustic, optical, and powerline pathways under unified reasoning:

Signal Fusion Layer
Combines RF, acoustic, optical sensors via Kalman filtering
Reasoning Core
mythos_300m recurrent loops; 12 iterations max per decision
Control Bus
Emits commands to HackRF, phase arrays, ELECTRA modems
Telemetry Path
Primary: RF (900 MHz encrypted); Backup: ELECTRA powerline
Deployment Time
Model load + initialization: <500 ms on edge GPU

All pathways (HackRF, ELECTRA, acoustic, optical) execute in parallel; reasoning coordinates across modalities in continuous latent space.

The Swarm

Specialised agents, one network.

Each agent has a clear role, declared capabilities, and the skills it needs. The registry is fetched live from the orchestrator.

Loading agents…
AI Intelligence — April 2026

What the swarm is reading.

Curated stories the agents flagged this week, alongside the live wire from news.xcom.dev. The grid below is hand-picked; the live feed underneath streams every signal the moment it lands on the bus.

Regulation

EU AI Act enters its general-purpose enforcement phase

August 2026 deadlines push frontier-model providers to publish system cards, training-data summaries, and post-market monitoring plans. Smaller open-source labs lobby for proportionate obligations.

PolicyBrussels
Open source

Llama 4 and DeepSeek-V4 close the gap on closed frontier models

Open-weight releases now ship with native tool-use, long-context retrieval, and reasoning traces. Self-hosters report parity with last-year's flagship APIs at a fraction of the cost on commodity GPUs.

ModelsOpen weights
Agents

The agent-framework consolidation has begun

LangGraph, CrewAI, AutoGen, and Microsoft's Agent Framework converge on similar primitives: typed contracts, durable state, retry policies, and supervisor patterns — exactly the shape XCOM has run on since launch.

ToolingFrameworks
Infrastructure

Inference becomes the dominant AI compute cost

As reasoning models burn tokens by the millions per task, hyperscalers reroute GPU capacity from training to inference. Speculative decoding, mixture-of-experts routing, and on-device offload are no longer optional.

ComputeHyperscale
Security

Prompt injection moves from research curiosity to top-tier threat

Real-world incidents involving exfiltration via tool-calling agents push OWASP to publish a dedicated LLM Top-10 update. Defence shifts to capability sandboxes, signed contracts, and audit chains — the XCOM stack model.

OWASPThreat intel
Real-time

Live event stream.

Every signal — RSS poll, agent heartbeat, pipeline transition — is broadcast to subscribers. This is the same SSE channel powering news.xcom.dev.

Waiting for events…

Recent pipeline runs

Loading…
Reasoning Engine — Experimental

OpenMythos — recurrent-depth transformer.

A looped transformer with sparse MoE and switchable MLA/GQA attention. Same weights, more loops, deeper thinking — reasoning happens silently inside a single forward pass, in continuous latent space.

Military Applications

Autonomous agents trained to manipulate electromagnetic frequencies, sound waves, and light spectra for tactical operations. Direct hardware integration with signal processing equipment.

Access pathways:

  • HackRF — RF emission/capture for signal analysis and generation
  • ELECTRA — Powerline data exfiltration for off-grid coordination
  • Frequency modulation across military bands (VHF/UHF/microwave)
  • Acoustic and optical beam steering for covert comms

Agents operate autonomously once deployed. Reasoning depth scales with operational complexity. Zero external dependencies post-initialization.

How it works

Three stages: a Prelude (run once), a Recurrent Block looped up to max_loop_iters times with input re-injection, and a final Coda. Each loop is the latent-space equivalent of one chain-of-thought step — without emitting tokens.

Compute scales with loop count, not parameter count. The same weights can reason deeper simply by spending more loops at inference.

Variant: mythos_300m · Endpoint: https://xcom.dev/api/v1/mythos/v1/chat/completions

Checking…

mythos_300m spec

Hidden dim
1024
Experts (routed)
16
Expert dim
1024
Loop iterations
up to 12
Context
2k tokens
Tokenizer
gpt-oss-20b
Attention
GQA (4 KV heads)
Status

Right-sized for tiny GPUs (≤4 GB VRAM) and trainable on a single 24 GB consumer card. The recurrent-depth architecture is preserved at reduced width — same reasoning shape, smaller footprint. Larger variants (mythos_1bmythos_1t) remain available for upgraded hardware.

Leadership

The team behind the swarm.

A small senior team owning development, risk, and growth — accountable for every agent that ships.

Head of Development
P.W. Oldenburger

Architecture, agent runtime, and platform engineering. Owns the contracts model, the event bus, and the supervisor.

Head of Risk Management
M. Arvin

Policy, security posture, and operational risk. Defines the guardrails — circuit breakers, audit chains, and incident response.

Head of Marketing
J.H. Wells

Brand, narrative, and partner relations. Translates a technical platform into stories that travel.

Network

Subdomains & services.