Systems Operational

We deploy and manage AI agent infrastructure.

The full Claw ecosystem — OpenClaw, NanoClaw, MicroClaw, PicoClaw, ZeroClaw, ExoClaw. Secured by FrawdBot. Powered by Qwen-Agent. Interfaced through Claude Code Slack. On your hardware, not ours.

Schedule Consultation → Read Our Papers →
Human and machine handshake — infrastructure partnership

The Challenge

Enterprises want AI agents but lack the infrastructure to run them securely at scale. Internal teams don't have the SRE expertise for production agent deployments.

The Opportunity

OpenClaw and 40,000+ agent platforms are production-ready. Edge compute on customer hardware makes deployment affordable. The entire stack is open source.

The Risk

Without proper infrastructure, agents become security liabilities and compliance gaps. Prompt injection, data exfiltration, and insider threats at machine velocity.

9+Deployments
6–12hSetup Time
40K+Compatible Platforms
21KLines of Detection

The Claw Ecosystem

Six runtimes. One managed infrastructure. The right agent for every deployment.

OpenClaw TypeScript
250K+ ⭐

The flagship. Full-featured enterprise agent with 50+ integrations, plugin system, and department-specific loadouts.

Enterprise Mac Mini / MacBook Pro edge deployments
NanoClaw Python · Agent SDK
Anthropic Agent SDK

Containerized, security-first. Runs on Anthropic's Agent SDK with isolated containers for every tool execution.

Secure multi-channel — Slack, Discord, WhatsApp, Gmail
MicroClaw Rust
Multi-channel runtime

Shared agent engine with provider abstraction, durable session state, and layered memory across every chat platform.

Chat-native workflows with persistent state
PicoClaw Go
<10MB RAM

Ultra-lightweight. Built by Sipeed to run on $10 RISC-V boards, IP cameras, routers, and microcontrollers.

IoT edge, embedded hardware, sensor networks
ZeroClaw Rust
3.4MB binary

Sub-10ms startup. Under 5MB RAM at runtime. 22 AI provider support. Zero dependency overhead.

Minimal footprint, maximum provider flexibility
ExoClaw WASM Sandbox
Deploy in <60s

Managed hosting with WASM-sandboxed tool execution. Real-time monitoring, team workspaces, 100+ AgentSkills.

Cloud deployments with zero-config infrastructure

Agent Depth

Three layers from human conversation to machine execution.

01

Interface Layer Claude Code Slack

Teams interact through natural Slack conversations. @mention Claude with a task, get progress updates in threads, create PRs directly. Already powering enterprise workflows at Netflix, Spotify, Salesforce. The human-agent boundary.

02

Framework Layer Qwen-Agent

Self-hosted reasoning with Qwen3.5 models. MCP support, function calling, code interpreter via Docker sandbox, RAG, and multi-agent orchestration. Air-gapped inference — customer data never leaves customer hardware.

03

Runtime Layer The Claws

Six open-source runtimes matched to deployment requirements. OpenClaw for enterprise, PicoClaw for IoT, ZeroClaw for minimal footprint, NanoClaw for containerized security, MicroClaw for multi-channel, ExoClaw for managed cloud. All secured by FrawdBot. All monitored by Organized AI.

The Stack

Open source at every layer. Managed infrastructure underneath.

Agent Commerce
Coinbase x402
HTTP 402 protocol · Agent-to-agent payments · Crypto + fiat settlement
Orchestration
Stripe Minions
MCP Toolshed · One-shot execution · 400+ tools · Deterministic interleaving
Agent Framework
Qwen-Agent / The Claws
6 runtimes · Function calling · RAG · MCP integration · Code interpreter · Claude Code Slack interface
Runtime Isolation
Alibaba OpenSandbox
Docker · Kubernetes · gVisor · Kata Containers · Firecracker microVM
Security Layer
FrawdBot
Behavioral analysis · 12 detection rules · Campaign tracking · 21,000-line engine
★ Managed Infrastructure
Organized AI
Edge deployment · SRE dashboards · ClickHouse · LangFuse · SOC 2 · Hardware provisioning

From the LLM Wiki

Featured entries from our field guide to the models and runtimes behind the Claw stack. View all →

Claude
Anthropic
Opus 4.7 · Sonnet 4.6 · Haiku 4.5
The control-plane model behind Claude Code Slack and the agent SDKs that operate our stack. Constitutional AI, tool-use reliability, prompt caching.
Control Plane Tool Use Prompt Caching
Read Entry →
Qwen
Alibaba
Qwen3 · Qwen3-Coder · Qwen-Agent
The open-weights agent core powering OpenClaw and NanoClaw. Qwen3-Coder is the reference open coding agent; Qwen-Agent is the framework the ecosystem is named after.
Agent Core Coder Apache 2.0
Read Entry →
Hermes
Nous Research
Hermes 4 · Hermes 3 · Hermes 2 Pro
The gateway model for mixed-surface deployments. Steerable, system-prompt-driven alignment and best-in-class open function calling make it the default for the Pi × LLM recipe.
Gateway Function Calling Steerable
Read Entry →
OpenClaw
Organized AI
Flagship Claw runtime · TypeScript · Mac Mini
The enterprise-tier runtime. 50+ integrations, plugin system, department loadouts, Claude Code Slack control plane, FrawdBot inline. Runs on customer-owned Mac Mini edge hardware.
Runtime Edge On-Premise
Read Guide →
Ask Pi Agent → Browse All Wiki Entries →

Ready to deploy?

From unboxing to production in 6–12 hours.

Schedule Consultation → Read Our Papers →

Services

Three tiers. One infrastructure philosophy. Your hardware.

Tier 1

Agent Setup

Unbox to production. 6–12 hours.
  • Complete OpenClaw installation
  • Mac Mini / MacBook Pro config
  • FrawdBot security included
  • N8N integration layer (200+)
  • SSH remote management
  • Disappearing API key handling
Tier 2 · Most Popular

Managed Infrastructure

Ongoing SRE. Monthly retainer.
  • Everything in Setup, plus:
  • SRE dashboard system
  • ClickHouse caching layer
  • LangFuse API routing
  • PostHog observability
  • Prompt injection protection
  • API gateway + policy enforcement
Tier 3

Enterprise

SOC 2. Multi-agent. Edge fleet.
  • Everything in Managed, plus:
  • SOC 2 compliance architecture
  • Multi-agent orchestration
  • Department-level access control
  • Tailscale edge deployment
  • Hardware leasing facilitation
  • Dedicated Slack support

Organized Teams

Run AI agent teams like a company — with org structures, budgets, and Slack as the control plane. Choose your deployment.

Cloud Deploy

Organized Teams — Cloud

Full-stack agent workforce on managed servers.
  • OpenClaw agent orchestration
  • Claude Code inside Slack
  • Paperclip org charts, goals & governance
  • One-command cloud deploy (EasyClaw)
  • ClawBox GUI (Commonstack)
  • Auto-rotating API keys
  • FrawdBot insider threat detection
  • Tailscale secure mesh
  • Multi-model routing via Commonstack
  • OTEL observability + KPI dashboards
  • PostHog product analytics + session replay
  • Pay-as-you-go token billing
Learn More →
Local Deploy

Organized Teams — Local

Fully private. Fully local. Zero cloud dependency.
  • Qwen-Agent framework (local inference)
  • OpenCode / Aider inside Slack
  • Paperclip org charts, goals & governance
  • Mac Mini / MacBook Pro deployment
  • ClawBox GUI (local instance)
  • FrawdBot behavioral monitoring
  • Complete data sovereignty
  • Open-weight models (Qwen, Llama, Mistral)
  • Zero API costs or external billing
  • On-device observability + metrics
  • Self-hosted PostHog analytics
  • No external dependencies
Learn More →

Papers

Engineering documentation from real deployments and production conversations.

March 2026 · Jordaaan Hill · 12 min read

The Agent Infrastructure Stack

How Four Open-Source Projects Define the Future of Managed AI Services
A technical analysis of the emerging agent infrastructure stack — from Stripe's one-shot coding agents and Alibaba's sandbox isolation to Qwen's agent framework and Coinbase's agent payment protocol. Together they reveal a clear infrastructure layer that managed service providers must build on.
Stripe Minions OpenSandbox Qwen-Agent x402 MCP
Read Paper →
March 2026 · Jordaaan Hill & Colin McNamara · 10 min read

The Infrastructure Playbook

Building Managed AI Agent Services from First Principles
A technical guide to building managed AI agent infrastructure. Covers the database-in-front-of-database pattern, SRE dashboard architecture, API gateway design, fraud detection integration, and SOC 2 compliance — all derived from production deployments.
ClickHouse LangFuse SOC 2 SRE
Read Paper →
March 2026 · Jordaaan Hill & Colin McNamara · 8 min read

Edge Compute Economics

Why Customer Hardware Beats the Cloud for AI Agent Deployment
An analysis of deploying AI agents on customer-owned hardware versus cloud infrastructure. Covers the distributed compute model, Tailscale tunnel architecture, configuration management at the edge, and the economics that make on-premise Mac deployments more cost-effective at scale.
Edge Tailscale Mac Mini Cost Analysis
Read Paper →
March 2026 · Jordaaan Hill · 14 min read

The Observability Architecture

OTEL + Claude Code Hooks → KPI Dashboards for AI Agent Infrastructure
The complete eight-layer observability stack: from Claude Code hooks and OpenTelemetry pipelines through token float economics and fleet orchestration to FrawdBot behavioral security. Covers semantic caching, provider arbitrage, 16-service port maps, and seven metric namespaces powering production agent deployments.
OpenTelemetry Langfuse FrawdBot Token Float ClawHerd
Read Paper →

LLM Wiki

A field guide to the large language models that power the agent era. Vendor, lineage, context windows, and where each model fits in a production stack.

Why this exists. Choosing an LLM is an infrastructure decision: context window, tool-use reliability, hosting model, and licensing shape everything downstream. These entries are curated from production deployments, not launch announcements.
Pi · Wiki Agent
Ask Pi anything about the entries below. Pi reads, compares, and opens them for you.
Open Pi Agent →
Frontier · Closed Weights
Claude
Anthropic
Opus 4.7 · Sonnet 4.6 · Haiku 4.5
Anthropic's model family, built around Constitutional AI and tool-use reliability. Strong on long-context reasoning, code editing, and multi-step agent loops. Default choice for Claude Code and most agent frameworks in the Claw ecosystem.
200K–1M ctx Tool Use Prompt Caching API
Read Entry →
GPT
OpenAI
GPT-5 · GPT-4.1 · o-series
OpenAI's flagship line. Strong general reasoning, function calling, and the broadest third-party tooling. The o-series reasoning models trade latency for deeper chain-of-thought. Widely used as a baseline for comparison.
128K+ ctx Reasoning Function Calling API
Read Entry →
Gemini
Google
Gemini 2.5 Pro · Flash · Nano
Google's multimodal family with a native 1M+ token context window. Deep integration with Google Cloud, Vertex AI, and Workspace. Flash variants target high-throughput, low-latency agent workloads.
1M ctx Multimodal Vertex AI API
Read Entry →
Pi
Inflection AI
Inflection-3 · Inflection-2.5 · Pi (consumer agent)
Inflection's "personal intelligence" agent and the Inflection model line. Tuned for conversational warmth, long-running memory, and real-time voice. Post-Microsoft acquihire the focus is enterprise licensing; the distinctive supportive tone remains the differentiator.
Conversational Empathic Long Memory Voice
Read Entry →
Nova
Amazon
Nova Pro · Lite · Micro · Canvas · Reel
Amazon's first-party model family, Bedrock-native. Aggressive cost-per-token tiers, 300K context on Pro and Lite, plus Canvas for image and Reel for video. The pragmatic pick when AWS is the architectural center of gravity.
Bedrock Multimodal Low Cost AWS-native
Read Entry →
Open Weights · Self-Hostable
Llama
Meta
Llama 4 · Llama 3.3 · Llama Guard
Meta's open-weights family — the reference open model for self-hosted deployments. Strong community ecosystem, quantized variants run on Mac Mini edge hardware, permissive license for most commercial use.
Open Weights Self-Host Edge Llama License
Read Entry →
Qwen
Alibaba
Qwen3 · Qwen3-Coder · Qwen-Agent
Alibaba's open-weights family, paired with the Qwen-Agent framework. Qwen3-Coder is the reference open model for coding agents. Strong tool-use and multilingual capabilities. Powers OpenClaw and NanoClaw in the Claw ecosystem.
Open Weights Agent Framework Coder Apache 2.0
Read Entry →
Mistral
Mistral AI
Mistral Large · Mixtral · Codestral
European open-weights family from Paris-based Mistral AI. Mixture-of-experts architectures, efficient inference, and EU data residency. Codestral targets code-specific workloads. Popular for regulated deployments.
Open Weights MoE EU Hosting Apache 2.0
Read Entry →
DeepSeek
DeepSeek
DeepSeek-V3 · DeepSeek-R1
Chinese open-weights lab that shipped DeepSeek-R1, the first open reasoning model to match o1-class performance. Aggressive pricing on the hosted API, MIT-licensed weights, strong on math and code.
Open Weights Reasoning MIT License Low Cost
Read Entry →
Grok
xAI
Grok 4 · Grok Code Fast
xAI's model family with real-time X integration and a large context window. Grok Code Fast targets agentic coding with competitive latency. Weights for older Grok versions released under Apache-style terms.
Real-time Coder API Partial Open
Read Entry →
Hermes
Nous Research
Hermes 4 · Hermes 3 · Hermes 2 Pro · DeepHermes
Independent research lab's flagship fine-tune line. Built on Llama, Qwen, and Mistral bases. Best-in-class open-weights function calling, steerable alignment that respects the system prompt, and YaRN-extended context windows.
Open Weights Function Calling Agentic Steerable
Read Entry →
Kimi
Moonshot AI
Kimi K2 · Kimi K1.5 · Kimi Chat
Moonshot AI's family — pioneered 2M-token context in Kimi Chat and shipped K2 as a trillion-parameter-class open-weights MoE. K1.5 is the reasoning counterpart. Strong on long-context retrieval.
Open Weights Long Context MoE Reasoning
Read Entry →
Command
Cohere
Command A · Command R+ · Command R · Embed · Rerank
Cohere's enterprise-grounded line. RAG as a first-class primitive, cited answers by default, and a tightly integrated embedding + reranker stack. Strong multilingual coverage across 100+ languages.
RAG-first Multilingual Enterprise CC-BY-NC
Read Entry →
Phi
Microsoft
Phi-4 · Phi-4-mini · Phi-3.5 (MoE, vision)
Microsoft Research's small-model family. "Textbooks are all you need" — curated and synthetic training data yields reasoning performance that punches above the 1B–14B weight class. MIT licensed. Default choice for on-device.
Open Weights Small Model MIT License Edge
Read Entry →
Gemma
Google
Gemma 3 · CodeGemma · PaliGemma · ShieldGemma
Google's open-weights line — derived from Gemini research. 1B–27B sizes, native multimodality in Gemma 3, strong multilingual coverage, permissive terms that beat Llama's for most commercial use.
Open Weights Multimodal Multilingual Edge
Read Entry →
OLMo
Allen AI
OLMo 3 · OLMoE · Tülu · Dolma
Allen Institute for AI's fully-open family. Weights, pretraining corpus (Dolma), training framework, intermediate checkpoints, and evaluation suite all released under Apache 2.0. The reference for reproducible, auditable model provenance.
Fully Open Apache 2.0 Reproducible Research
Read Entry →
Agent Runtimes & Stacks
OpenClaw
Organized AI
Flagship Claw runtime · TypeScript · Qwen-Agent inner loop
The enterprise-tier agent runtime in the Claw ecosystem. 50+ first-party integrations, plugin system, department-specific loadouts, and a Claude Code Slack control plane. Runs on customer-owned Mac Mini edge hardware with FrawdBot behavioral security bundled in.
Agent Runtime Edge Deploy On-Premise Open Source
Read Guide →
NanoClaw
Organized AI
Python · Claude Agent SDK · Container Sandbox
The containerized, security-first Claw runtime. Every tool call runs in an isolated container with restricted network and filesystem. Built on Anthropic's Agent SDK. Use when untrusted input reaches the tool layer.
Agent Runtime Containerized Security-first Multi-Channel
Read Guide →
MicroClaw
Organized AI
Rust · Multi-Channel · Durable Memory
Chat-native Claw runtime. Same agent session follows a user across Slack, Discord, WhatsApp, SMS, Teams, and iMessage with layered memory and durable state. Provider-abstract LLM routing at runtime.
Agent Runtime Multi-Channel Provider-Abstract Durable
Read Guide →
PicoClaw
Organized AI · Sipeed
Go · <10MB RAM · RISC-V
IoT and embedded Claw runtime. Agent protocol on-device, inference offloaded to an upstream. Built with Sipeed to target $10 RISC-V boards, IP cameras, routers, and microcontrollers.
Agent Runtime IoT <10MB RAM RISC-V
Read Guide →
ZeroClaw
Organized AI
Rust · 3.4MB Binary · 22 Providers
Minimal-footprint Claw runtime. 3.4MB static Rust binary, sub-10ms cold start, under 5MB runtime RAM, 22 native AI providers. Built for serverless functions, edge workers, and sidecars.
Agent Runtime Minimal Serverless Multi-Provider
Read Guide →
ExoClaw
Organized AI
WASM Sandbox · 100+ AgentSkills · Deploy <60s
Managed cloud Claw runtime. WASM-sandboxed tool execution, sub-60-second provisioning, 100+ prebuilt AgentSkills, team workspaces, and real-time monitoring. Organized AI runs the infrastructure.
Agent Runtime Cloud Managed WASM Zero-Config
Read Guide →
Integrations & Recipes
Pi × LLM
Claw Mac Mini
Raspberry Pi client · Hermes agent gateway on the Mini
Pair a Raspberry Pi with the Claw Mac Mini as a cheap, always-on agent terminal. The Pi speaks to a Hermes-backed gateway served by OpenClaw over Tailscale, gets streaming responses, and accesses the full LLM Wiki as a cited tool. Covers setup, device scoping, security, and variants from Pi Zero to industrial CM4.
Raspberry Pi Hermes Gateway OpenClaw Tailscale
Read Recipe →

About

Infrastructure consultancy for the agent era.

Who We Are

Organized AI is an infrastructure consultancy specializing in AI agent deployment. We partner with Self-Improving Code (Colin McNamara) for enterprise-grade architecture and FrawdBot for insider threat detection.

We don't build agents. We build the infrastructure that makes agents production-ready — the SRE dashboards, the caching layers, the API gateways, the security monitoring, the edge deployments. The boring stuff that makes the exciting stuff work.

Our Principles

On-Premise First

Your Mac Mini, your office, your network, your data. Edge compute beats cloud for AI agent workloads — lower latency, better economics, full data sovereignty.

Framework-Agnostic

OpenClaw, Qwen-Agent, CrewAI, AutoGen — we don't care which framework you choose. 40,000+ options exist. The infrastructure underneath is the same.

Security by Default

FrawdBot behavioral analysis is bundled in every deployment. Not an upsell. 21,000 lines of detection engine monitoring for insider threats at machine velocity.

Events

  • ClawCon
    SXSW · Austin, TX
  • Claw School
    Training · Antler Austin
  • Office Hours
    Weekly · Virtual

Partners

Open Source

Contact

Tell us about your infrastructure needs.

Schedule Directly

30-minute consultation to scope your deployment.

[ Calendly Embed ]

Open Scheduling →

Direct

contact@organizedai.vip

Response Time

Under 24 hours for qualified inquiries.