akios 1.0.4

AKIOS runtime for secure AI agent execution

AKIOS v1.0 – The Open-Source Security Cage for AI Agents

Document Version: 1.0
Date: 2026-01-25

Security sandboxing · Real-time PII redaction · Merkle audit · Cost kills

AKIOS is open-source (GPL-3.0-only). Read the legal notices, trademarks, and security policy before use.

EU AI Act disclaimer: AKIOS is not designed for "high-risk" use cases under the EU AI Act. For such deployments, consult a compliance expert and consider implementing additional regulatory controls on top of AKIOS.

AKIOS is the strongest open-source cage you can put around any AI agent. Run AI workflows with military-grade security, automatic cost controls, and cryptographic audit trails.

🚀 Quick Start (5 minutes – Docker Works on All Platforms)

Security Levels:

• Native Linux: Full security feature set (automatic - no setup required)
• Standard Docker: Strong policy-based security across all platforms (macOS, Linux, Windows)
• Future: Enhanced security options in upcoming versions

✅ Docker provides reliable security across all platforms - simple setup, strong protection, and optimized performance with smart caching for fast subsequent runs.

Most users start with Docker for cross-platform compatibility and excellent security.

Platform Security Overview

Environment	Security Level	Status	Notes
Docker on any platform (macOS/Linux/Windows)	Strong policy-based container isolation	✅ v1.0	Simple, reliable, cross-platform
Native Linux (AWS EC2)	Full security feature set	✅ v1.0	Maximum security and performance
gVisor on Linux	Kernel-hard isolation	🔮 V1.1+	Future advanced security option

AKIOS v1.0 provides strong, reliable security across all platforms.

⚠️ Docker Security Limitations

Important Security Trade-off: Docker mode provides strong policy-based security but does NOT enforce host filesystem permissions. This is a known limitation of containerized deployment.

What Docker CANNOT do:

• ❌ Host filesystem permission enforcement (chmod 444 is bypassed - containers run as root internally)
• ❌ Full kernel-hard security (no seccomp-bpf on macOS/Windows - reduced to policy-based only)

What Docker DOES provide:

• ✅ Strong container isolation (network restrictions, resource limits)
• ✅ PII redaction (application-level data protection)
• ✅ Audit logging (comprehensive security tracking)
• ✅ Cost kill-switches (automatic budget enforcement)
• ✅ Input validation (automatic size limits and safety checks)
• ✅ Rate limiting protection (automatic retry with backoff)
• ✅ Performance optimizations (automatic container-aware resource management)

For maximum security (full kernel-hard seccomp-bpf + strict filesystem permissions): Use native Linux installation on Linux hosts.

macOS & Windows / Docker Users – Important Note on Audit Logging

Full audit trail is preserved in normal operation thanks to:

• Memory buffering (events held in RAM, flushed every 100 events)
• tmpfs mount for /app/audit (writes happen in ultra-fast in-memory filesystem)

Extremely rare edge case: If the container is violently killed (e.g. via Task Manager "End task" on Windows or docker kill --signal=SIGKILL / force-quit Docker Desktop) exactly during a flush window, up to the last ~100 audit events could be lost.

Real-world impact: This requires forceful termination at a precise moment — it is extremely unlikely in normal use and almost impossible without someone deliberately attacking the Docker runtime itself.

Recommendation for maximum paranoia / compliance environments: Use native Linux installation (kernel-level cgroups + seccomp + direct filesystem writes) for absolute audit durability with zero possibility of loss.

All other security guarantees (PII redaction, sandboxing, path/command restrictions, network controls, cost/loop kill-switches) remain fully active in Docker on macOS and Windows.

Choose Docker for:

• Cross-platform convenience (macOS, Windows, Linux)
• Development & testing scenarios
• Most production use cases

Choose Native Linux for:

• Regulated/high-security environments
• Strict filesystem permission enforcement
• Maximum security guarantees

Installation (works on Linux, macOS, Windows)

# Option 1: Pip Package (Recommended - maximum security on Linux)

# Ubuntu 24.04+ users: Use pipx instead of pip due to PEP 668
sudo apt install pipx
pipx install akios

# Ubuntu 20.04/22.04 and other Linux/macOS/Windows users:
pip install akios

akios init my-project
cd my-project
# Setup wizard runs automatically - just follow the prompts!
akios run templates/hello-workflow.yml

# Option 2: Docker (Cross-platform - works on Linux, macOS, Windows)
curl -O https://raw.githubusercontent.com/akios-ai/akios/main/akios
ls -la akios && file -b akios  # Verify download (shell script)
chmod +x akios
./akios init my-project
cd my-project

# What is this wrapper script?
# - Zero-dependency Docker wrapper for AKIOS
# - Manages Docker image pulls and container execution
# - Provides consistent CLI experience across platforms
# - Handles security sandboxing and resource limits

# Setup wizard runs automatically - just follow the prompts!
./akios run templates/hello-workflow.yml

# Optional: refresh the Docker image on the next run
AKIOS_FORCE_PULL=1 ./akios status

📦 Version Note: pip install akios installs the latest stable version (currently v1.0). For specific versions: pip install akios==1.0.4.

Which Installation Should I Choose?

Option	Best For	Requirements	Security Level	Ease of Use
Pip Package ⭐	Python developers, maximum security	Python 3.8+, Linux kernel 3.17+ Ubuntu 24.04+: pipx install akios	Full kernel-hard security	⭐⭐⭐⭐⭐
Docker	Cross-platform teams, development environments	Docker installed	Strong policy-based security	⭐⭐⭐⭐
Direct Docker	Emergency fallback when wrapper fails	Docker installed	Strong policy-based security	⭐⭐⭐

Choose Pip if:

• You're a Python developer
• You need maximum security (Linux kernel features)
• You want to integrate AKIOS into Python applications

Choose Docker if:

• You need cross-platform compatibility
• You already use Docker in your workflow
• You want containerized deployment

Choose Direct Docker if:

• The wrapper script download fails (curl issues, network problems)
• You prefer direct Docker commands over wrapper scripts
• You need emergency access when GitHub is unavailable

Get Started

# 1. Create your first project
akios init my-project
cd my-project

# 2. Configure your AI provider (guided setup)
akios setup  # Interactive wizard for API keys and settings
# Use --force to re-run setup: akios setup --force

# 3. Run your first workflow
akios run templates/hello-workflow.yml

# 4. Check results and status
akios status
cat data/output/run_*/hello-ai.txt

v1.0 UX and Value

AKIOS v1.0 is designed around one workflow per project so users can run, test, and deploy a single, focused workflow with minimal setup.

What users get in v1.0:

• Security-first execution in Docker and native Linux (Linux provides the strongest guarantees).
• Ready-to-run templates to learn fast, then adapt for real use cases.
• Clear outputs in timestamped run folders under data/output/run_*/.
• Audit trails for every workflow, with export support for compliance reporting.

Verify Your Installation

# All installation methods support the same commands:
akios --version          # Show version
akios --help            # Show help
akios init my-project   # Create new project
cd my-project
akios setup             # Configure API keys and settings
akios status            # Check system status
akios files             # Show available input/output files
akios run templates/hello-workflow.yml  # Run sample workflow

AKIOS includes a guided setup wizard that makes configuration effortless:

• Interactive provider selection (OpenAI, Anthropic, Grok, Mistral, Gemini)
• Model selection (gpt-4o, claude-3.5-sonnet, grok-3, etc.)
• Real API key validation with test calls
• Budget and token limit configuration
• Secure storage in .env file

akios setup  # Run the guided setup wizard

Manual configuration is also available:

cp .env.example .env
# Edit .env with your API keys

⚠️ IMPORTANT: Project Context

All project commands (run, status, audit, clean, etc.) expect to be run from INSIDE your project directory (after cd my-project).

❌ Wrong (unexpected results):

./akios init my-project
./akios run templates/hello-workflow.yml  # Uses current dir as context!
./akios status                           # Shows wrong project data!

✅ Correct (intended experience):

./akios init my-project
cd my-project                    # ← REQUIRED STEP
./akios run templates/hello-workflow.yml
./akios status

Running project commands from outside uses the current directory as context — this may cause unexpected results (wrong outputs, wrong audit data, etc.).

Always cd into your project folder for the intended experience.

What this gives you:

• ✅ Standalone Binaries: Zero-dependency deployment with full security
• ✅ Pip Package: Maximum security on Linux (kernel-hard features)
• ✅ Docker: Strong cross-platform security (all operating systems)
• ✅ Cross-platform support (Linux, macOS, Windows)
• ✅ Compliance-ready for regulated environments
• ✅ Real LLM integration with audit trails
• ✅ Cryptographic verification (SHA256 hashes for all downloads)

✨ Key Features

• 🔒 Security Sandboxing: Kernel-hard isolation on native Linux (seccomp-bpf + cgroups) or strong policy-based security in Docker — agents cannot escape
• 🛡️ Comprehensive PII Redaction: 50+ pattern detection covering personal, financial, health, and location data before LLM processing
• 📊 Merkle Audit Trails: Cryptographic proof of execution integrity — tamper-evident JSON exports
• 💰 Cost Kill-Switches: Hard budget limits ($1 default) with automatic termination on violations
• ⚡ Zero-Dependency Deployment: Standalone binaries for air-gapped environments, plus pip packages for Python integration
• 🔧 Core Agents: Filesystem, HTTP, LLM, and Tool Executor agents for complete AI workflows
• ✅ Real AI Integration: Templates use actual LLM APIs - not mock responses or demo placeholders
• 🚀 10/10 Performance: Validated performance metrics across all platforms (native Linux: 25ms startup, 44.44 wf/s throughput; Docker: <1000ms startup, >5 wf/s throughput)

⚡ Performance Highlights

AKIOS v1.0.4 achieves 10/10 performance scores across all platforms:

Native Linux (Maximum Performance)

✅ Startup:     25ms (sub-50ms latency)
✅ Throughput:  44.44 workflows/second
✅ Memory:      21MB footprint
✅ Scaling:     100% efficiency (perfect horizontal scaling)
✅ Cost:        Industry-leading AI agent execution speed

Docker (Cross-Platform Performance)

✅ Startup:     <1000ms (container overhead normal)
✅ Throughput:  >5 workflows/second (parallel-friendly)
✅ Memory:      <150MB (containerized)
✅ Scaling:     >90% efficiency
✅ Cost:        Excellent cross-platform performance

Why Both Scores Matter:

• Native Linux (EC2/Kubernetes): Choose for maximum performance & security, lowest cost at scale
• Docker (macOS/Windows/Cloud): Choose for cross-platform compatibility, strong security, excellent performance

Both performance profiles are validated and blocking for every release — we measure both to ensure no regressions as AKIOS evolves.

See Native Linux Performance (EC2) and Docker Performance for detailed validation reports.

⚖️ Legal Disclaimers & User Responsibility

AKIOS Performance Validation Scope

AKIOS v1.0.4 performance metrics are validated ONLY on AWS EC2 t3.medium instances in us-east-1 region. Your actual performance may differ significantly based on:

• Instance type and size
• AWS region and network latency
• System load and other processes
• Workflow complexity and input data size
• LLM API provider response times
• Configuration choices

What AKIOS Guarantees

✅ Security of the sandbox - Full kernel-hard isolation on native Linux (verified with 26/26 security tests)
✅ PII redaction - 50+ pattern detection (>95% accuracy)
✅ Audit integrity - Cryptographic Merkle proofs of execution
✅ Performance baseline - 25ms startup & 44.44 wf/s throughput on t3.medium

What AKIOS Does NOT Guarantee

❌ AWS infrastructure performance - Varies by instance type and region
❌ AWS account security - Your responsibility to manage credentials and IAM
❌ AWS cost management - You are responsible for monitoring AWS billing
❌ Performance on untested instances - Test on YOUR instance before assuming performance
❌ Results from misconfigured deployments - Configuration errors are user responsibility

User Responsibilities

AWS Account Security

• Keep access keys safe — never commit to git or share
• Use IAM roles with least-privilege permissions (don't use root credentials)
• Enable CloudTrail for API audit logging
• Rotate credentials regularly and monitor account activity
• Use security groups to restrict EC2 access (SSH on port 22 only)

AKIOS is NOT responsible for:

• EC2 instance compromise or account takeover
• AWS IAM misconfigurations
• Leaked credentials or API keys
• Unauthorized access to your instances

Cost Management

• Monitor your AWS bill actively during testing
• Set up AWS billing alerts to prevent surprise charges
• Terminate instances when testing is complete
• Understand EC2 pricing for your region and instance type
• Use on-demand or spot instances according to your needs

AKIOS is NOT responsible for:

• AWS infrastructure charges you incur
• Runaway instances left running after testing
• Data transfer costs or unexpected charges
• Regional price variations

Note: AKIOS includes budget kill-switches for LLM API costs ($1 default), but this does NOT cover AWS EC2, storage, or data transfer costs.

Data Security

• Encrypt sensitive files before processing through AKIOS
• Don't hardcode secrets in workflow definitions or code
• Use environment variables for credentials
• Secure EC2 instances with proper security groups and SSH key management
• Review permissions on all input files and directories

AKIOS is NOT responsible for:

• EC2 instance compromise due to misconfiguration
• Secrets leaked through mismanaged workflows
• Data breaches from improperly configured security groups
• Malicious workflows from untrusted sources

Infrastructure Validation

• Test on YOUR instance type (not just t3.medium)
• Validate performance meets YOUR requirements
• Understand differences between baseline and your setup
• Document findings for your team and future reference

AKIOS is NOT responsible for:

• Performance degradation on untested instance types
• Results that don't match your use case
• Infrastructure issues outside AKIOS control
• Third-party software conflicts or misconfiguration

Performance Testing & Validation

We provide two resources to help validate AKIOS for your use case:

1. EC2 Performance Testing Guide (Complete how-to)

   • Instance type recommendations by use case
   • Step-by-step EC2 setup instructions
   • Performance optimization tips
   • Cost estimation and control strategies
   • Troubleshooting for common issues
   • Security best practices for AWS

2. Native vs Docker Performance Comparison (Detailed analysis)

   • Side-by-side metrics comparison
   • Performance analysis for each metric
   • Decision matrix: when to use each platform
   • Validation results and methodologies

When Testing AKIOS on AWS EC2

✅ Before starting:

• Understand AWS costs in your region (check EC2 pricing)
• Secure your AWS credentials properly
• Plan for instance cleanup after testing
• Have valid LLM API credentials ready

✅ During testing:

• Monitor your AWS billing actively
• Document your instance type and actual performance
• Verify security status (kernel-hard isolation confirmed)
• Test both mock and real API modes

✅ After testing:

• Terminate EC2 instances to stop charges
• Archive results and performance baselines
• Rotate any exposed credentials immediately
• Clean up S3, CloudTrail, or other resources

🔍 Audit & Compliance

AKIOS v1.0 provides raw, tamper-evident audit logs (JSONL format) for every workflow execution.

• akios audit — view recent events
• akios audit export --format json — raw JSON export

🛡️ Security Levels by Environment

AKIOS v1.0 uses Linux kernel features for maximum security. Security levels vary by deployment environment:

Native Linux (Recommended for Production)

• Security Level: Full (kernel-hard)
• Features:
  • ✓ cgroups v2 resource isolation
  • ✓ seccomp-bpf syscall filtering
  • ✓ Unbreakable containment
• Requirements: Linux kernel 3.17+ with cgroups v2 support, libseccomp-dev installed
• Benefit: Provides the highest level of process isolation and syscall control, preventing even sophisticated attacks

Docker (All Platforms)

• Security Level: Strong (policy-based)
• Features:
  • ✓ Command/path allowlisting
  • ✓ PII redaction (rule-based, 50+ patterns)
  • ✓ Audit logging
  • ✓ Container isolation
  • ✓ Cross-platform compatibility
• Requirements: Docker installed and running
• Benefit: Provides reliable security across macOS, Linux, and Windows

macOS/Windows (Via Docker Only)

• Security Level: Strong (policy-based)
• Features: Command allowlisting, PII redaction, audit logging, container isolation
• Requirements: Docker Desktop installed and running
• Benefit: Provides reliable security across all platforms

For maximum security: run on native Linux.
Docker provides strong security — but not the absolute maximum.

🔧 Docker Troubleshooting

Installation Issues

Wrapper Script Download Issues

# Verify the wrapper script downloaded correctly
ls -la akios && file akios

# Expected output:
# -rw-r--r--  1 user  group  3426 Jan 17 17:56 akios
# akios: Bourne-Again shell script text executable, Unicode text, UTF-8 text

# If download failed, use Direct Docker fallback:
docker run --rm -v "$(pwd):/app" -w /app akiosai/akios:v1.0.4 init my-project
cd my-project
# Create wrapper script for future use
echo '#!/bin/bash
exec docker run --rm -v "$(pwd):/app" -w /app akiosai/akios:v1.0.4 "$@"' > akios
chmod +x akios
./akios --version  # Should show "AKIOS 1.0.4"

Docker Installation Issues

# Check Docker installation
docker --version
docker system info

# Restart Docker if needed
# On macOS: Restart Docker Desktop
# On Linux: sudo systemctl restart docker
# On Windows: Restart Docker Desktop

Performance Issues

• Expected behavior: Optimized Docker performance with automatic container-aware optimizations
• If slow: Check Docker resource limits, restart Docker
• Network issues: Ensure stable internet connection
• File operations: AKIOS automatically optimizes I/O operations for containerized environments

Compatibility Issues

• Platform support: Works on macOS, Linux, Windows
• Resource requirements: 2GB RAM minimum, 4GB recommended
• Permission issues: Ensure Docker has proper access to project directories

Runtime Errors

# Check Docker daemon logs
docker system info

# Test Docker directly
docker run hello-world

# Check AKIOS logs
akios logs --limit 10

Security Expectations

AKIOS provides strong policy-based security in Docker:

• Command allowlisting active
• PII redaction works
• Audit trails maintained
• Container isolation provided
• Memory usage: ~50MB additional per container
• Disk space: ~500MB for Docker images

Known Limitations

• Large workflows: May require increased Docker resource limits
• Network timeouts: AI API calls may need longer timeouts in containers
• File permissions: Ensure proper volume mounting permissions

Performance Expectations

Typical performance with AI workflows:

Metric	Docker (All Platforms)	Native Linux (AWS EC2)
Startup time	0.5-0.8s	0.4-0.5s (10-20% faster)
Runtime overhead	0% (optimized)	-5-10% (more efficient)
Memory usage	60-80MB	40-60MB (25-33% less)
Security level	Policy-based	Full kernel-hard features
Compatibility	Full	Full

✅ Validated Results: Native Linux performance exceeds Docker baselines with superior efficiency and security.

Recommendation: Use native Linux for maximum performance and security, Docker for cross-platform compatibility.

🎯 What AKIOS Solves

The AI Security Crisis: AI agents can leak sensitive data, run up massive bills, and execute dangerous code — all while being impossible to audit.

AKIOS Solution: Every AI workflow runs inside a hardened security cage with:

• Zero data leakage through automatic PII redaction
• Predictable costs through hard budget enforcement
• Complete auditability through cryptographic logging
• Unbreakable containment through kernel-level isolation
• Real AI functionality - templates produce actual AI-generated content using OpenAI/Anthropic/Grok/Mistral/Gemini

📋 Limits (v1.0)

AKIOS v1.0 is minimal by design — focused on security fundamentals:

• Linux kernel required (5.4+ for cgroups v2 + seccomp-bpf security)
• Docker recommended (provides Linux environment for macOS/Windows users)
• Sequential workflows only (no parallel execution)
• Core agents (filesystem, HTTP, LLM, tool executor)
• Basic CLI (10 commands: init, setup, run, workflow, audit export, logs, status, templates, testing, clean)
• No API server (CLI-only in v1.0)
• No monitoring dashboard (command-line only)

These limits ensure bulletproof security. Advanced features come in future releases.

⚠️ Production Security Warning

🔑 API Keys Required: v1.0 requires real API keys for LLM functionality. See setup instructions below.

AKIOS v1.0 provides genuine LLM API integration with OpenAI, Anthropic, Grok, Mistral, and Gemini for real workflows and audit-ready results.

🛠️ Installation

Requirements

• Linux kernel 3.17+ with cgroups v2 and seccomp support
• Python 3.8+
• pip for installation

Install from PyPI

pip install akios

Verify Installation

akios --version

📦 Dependencies

AKIOS uses a structured dependency management system for different use cases:

Core Dependencies (requirements.txt)

Runtime dependencies required to run AKIOS workflows:

• Core functionality: pydantic, click, pyyaml, jsonschema
• LLM providers: openai, anthropic (for AI agent functionality)
• Security: cryptography, psutil
• System monitoring: psutil, httpx

Build Dependencies (requirements-build.txt)

Development and build-time tools:

• Testing: pytest, pytest-cov (comprehensive test coverage)
• Code quality: black, flake8, mypy (linting and type checking)
• Documentation: sphinx (docs generation)

Installation Options

Option	Command	Includes	Use Case
Minimal	pip install akios	Core runtime only	Basic workflows, no AI
With AI	pip install akios[agents]	+ LLM providers	Full AI functionality
Development	pip install akios[dev]	+ Testing tools	Contributing to AKIOS
API Server	pip install akios[api]	+ FastAPI, uvicorn	REST API deployment
Docker Build	N/A	Both files	Container deployment

Docker vs PyPI Dependencies

• PyPI installs use pyproject.toml dependencies (modern Python packaging)
• Docker builds use both requirements.txt + requirements-build.txt for complete environments
• Security libraries (seccomp) are platform-specific and handled via optional dependencies

🐧 Advanced Installation Options

Choose the best deployment method for your use case:

Option 1: Native Linux (Maximum Security)

For Linux users who prefer native performance (no Docker overhead) or need maximum security isolation:

Requirements:

• Linux kernel 3.17+ (for cgroups v2 + seccomp security features)
• Python 3.8+
• GCC/make for optional agent dependencies

Install with full security:

# Full installation with LLM support
pip install akios[agents]

# Or minimal install (no LLM support)
pip install akios

Verify Security Features

# Check if kernel security features are available
akios status | grep -E "(Sandbox|Audit|seccomp)"

Option 2: Docker (All Platforms - Strong Security)

For cross-platform compatibility:

Requirements:

• Docker installed and running
• Cross-platform support (macOS, Linux, Windows)

Setup:

# Download the wrapper script
curl -O https://raw.githubusercontent.com/akios-ai/akios/main/akios
ls -la akios && file -b akios  # Verify download (shell script)
chmod +x akios

# Run (provides strong cross-platform security)
./akios run templates/hello-workflow.yml

Benefits: Reliable security across all platforms with simple setup.

⚠️ Docker is strongly recommended for cross-platform users — it provides consistent Linux environment and automatic dependency management.

🤖 LLM Provider Setup

AKIOS supports 5 LLM providers for maximum flexibility. Use the guided setup wizard for easy configuration:

Guided Setup (Recommended)

# After creating your project:
cd my-project

# Run the interactive setup wizard
akios setup

The wizard guides you through:

• Provider selection (OpenAI, Anthropic, Grok, Mistral, Gemini)
• Model selection for your chosen provider
• API key entry with validation
• Budget and security settings

Manual Setup

# Alternative: Manual configuration
cd my-project
cp .env.example .env
# Edit .env with your real API keys (NEVER commit .env to version control)

OpenAI (Default)

# Add to .env file:
OPENAI_API_KEY=sk-your-key-here
AKIOS_LLM_PROVIDER=openai

Anthropic (Claude)

# Add to .env file:
ANTHROPIC_API_KEY=sk-ant-your-key-here
AKIOS_LLM_PROVIDER=anthropic

Grok (xAI)

# Add to .env file:
GROK_API_KEY=xai-your-grok-key-here
AKIOS_LLM_PROVIDER=grok

Using Different Providers in Templates

Specify your preferred provider in workflow configurations:

steps:
  - agent: llm
    config:
      provider: anthropic  # openai, anthropic, or grok
      api_key: "${ANTHROPIC_API_KEY}"
      model: "claude-3.5-sonnet"
    action: complete
    parameters:
      prompt: "Analyze this data..."

Supported Models:

• OpenAI: gpt-3.5-turbo, gpt-4, gpt-4-turbo, gpt-4o, gpt-4o-mini
• Anthropic: claude-3.5-haiku, claude-3.5-sonnet
• Grok: grok-3, grok-3-turbo

🔑 API Keys Required: v1.0 uses real LLM APIs - you must provide API keys.

Set AKIOS_MOCK_LLM=1 to use mock responses (for testing/CI without API keys).

🛡️ Security Safeguards

Provider Allowlist: Only explicitly allowed providers can be used. Configure in config.yaml:

allowed_providers: ["openai", "anthropic", "grok"]  # Restrict to specific providers

Mock Mode for Testing Only: Use fake responses for development/testing without API keys:

# Enable mock mode via environment variable
export AKIOS_MOCK_LLM=1

# Or via config.yaml
mock_llm_fallback: true

When to Use Mock vs Real Mode

Use Case	Recommended Mode	Why
Learning AKIOS	Mock Mode	Instant setup, explore features without API keys
Developing Workflows	Mock Mode	Test logic and templates without API costs
CI/CD Testing	Mock Mode	Fast, reliable automated testing
Production Workflows	Real Mode	Full AI capabilities with real providers
Cost-Sensitive Tasks	Real Mode	Actual AI responses (with budget controls)
High-Quality Output	Real Mode	Best results from GPT-4, Claude, Grok, etc.

Both safeguards ensure 100% bulletproof operation in all environments.

🛡️ Security Levels by Environment

AKIOS adapts its security approach based on the deployment environment:

Native Linux (Recommended for Production)

• Security Level: Full (kernel-hard)
• Features: cgroups v2 + seccomp-bpf + comprehensive audit
• Requirements: Linux kernel 3.17+, root access for security setup
• Use Case: Production, high-security environments

Docker Containers (Recommended for Development/Testing)

• Security Level: Partial (policy-based)
• Features: Command allowlist + path restrictions + PII redaction + audit
• Limitations: Cannot use kernel-level seccomp-bpf (container restrictions)
• Use Case: Development, CI/CD, cross-platform deployment

macOS/Windows (Via Docker Only)

• Security Level: Partial (policy-based)
• Features: Same as Docker containers
• Requirements: Docker Desktop installed
• Use Case: Local development on non-Linux platforms

Check Your Security Level

akios status

Look for the 🛡️ Security Status section to see your current security level and capabilities (Full kernel-hard or Strong policy-based).

📋 Quick Start & Core Files

The essential files you'll need to get started:

• GETTING_STARTED.md – 3-minute try-it-now guide
• AGENTS.md – Core agents (LLM, HTTP, Filesystem, Tool Executor)
• RELEASES.md – What v1.0 delivers and scope limitations
• akios – Smart wrapper (Cross-platform Docker launcher)
• config.yaml – Default configuration template
• Dockerfile – Official Docker build
• DEPLOYMENT.md – Deployment philosophy and security-first approach
• TROUBLESHOOTING.md – Common issues and solutions

📚 Documentation

🚀 Quick Start

• Getting Started - 3-minute setup guide with Docker wrapper
• Templates - 4 production-ready AI workflow examples
• Roadmap - Vision, future plans, and PRO strategy

📖 Complete Guides

• Configuration - Settings and environment variables
• CLI Reference - All command-line options
• Security Overview - Security features and compliance
• Deployment - Production deployment options
• Troubleshooting - Common issues and solutions

🏗️ Design & Architecture

• CLI Scope & Boundaries - v1.0 CLI design constraints and limitations

📋 Documentation Index - All guides in one place

🔒 Security First

AKIOS is built around unbreakable security:

Process Isolation

• Kernel-level sandboxing using cgroups v2 + seccomp-bpf
• Syscall interception blocks dangerous operations
• Process containment prevents escape attempts

Data Protection

• Comprehensive PII redaction (50+ pattern coverage)
• No sensitive data reaches LLM processing
• Cryptographic audit trails prove compliance

Cost Control

• Hard budget limits ($1.00 default per workflow)
• Token restrictions prevent runaway LLM costs
• Automatic kill-switches on violations

Audit Integrity

• Merkle tree verification ensures tamper-evident logs
• JSON exports for regulatory compliance
• Cryptographic proof of execution integrity

🚀 Production AI Workflows

AKIOS ships with 4 production-ready AI applications (not demo placeholders):

Hello World

akios run templates/hello-workflow.yml

Basic file operations - proves the security cage works.

Real AI Document Analysis

# Create sample document
echo "Contact [e-mail] for project details. Phone: [phone]" > data/input/document.txt

# Get real AI summary with automatic PII redaction
akios run templates/hello-workflow.yml

# Verify AI output was generated
cat data/output/run_*/summary.txt

AI-Powered File Analysis

# Create file to analyze
echo "Sample data for AI analysis" > data/input/analysis_target.txt

# Get real AI insights with syscall sandboxing
akios run templates/file_analysis.yml

# Check AI-generated analysis
cat audit/analysis_integrity.txt

Cost-Controlled AI Data Enrichment

# Create input data
echo "Sample files for batch processing" > data/input/batch/sample1.txt
echo "More content for analysis" > data/input/batch/sample2.txt

# Process multiple files with AI aggregation
akios run templates/batch_processing.yml

# Verify AI output
cat data/output/run_*/batch-summary.json

Note: The batch_processing.yml template processes multiple local files with AI analysis; all LLM outputs are real when AKIOS_MOCK_LLM=0.

All templates produce real AI-generated content using your chosen LLM provider (OpenAI/Anthropic/Grok/Mistral/Gemini) - not placeholder text.

📈 Roadmap

Current: v1.0 - Security cage fundamentals (Linux-only, minimal features)

Future Releases:

• Enhanced Security: Additional compliance features, advanced monitoring
• Cross-Platform: macOS/Windows support with equivalent security
• Advanced Orchestration: Parallel execution, workflow dependencies
• Advanced Integrations: REST API, monitoring dashboard, advanced integrations

🤗 Community

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: Questions and community support
• Security: Report vulnerabilities to [e-mail]

📄 License

AKIOS Open Runtime is licensed under the GPL-3.0-only license. The security cage and audit system ensure AI agents run safely while maintaining full transparency through open source.

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Built with security-first principles. Run AI agents safely — anywhere.