Myrmex Hive: Secure Agent Orchestrator & Gateway

Myrmex Hive is a decentralized, secure, and geeky agent orchestration framework built on top of the Model Context Protocol (MCP). It is designed to securely monitor, query, and manage distributed edge servers, Docker hosts, and Kubernetes nodes without exposing any ingress ports on your target systems.

1. Architecture & Security Model

Myrmex Hive is designed for zero-trust environments where target edge systems (agents) must remain completely isolated from direct inbound network traffic.

flowchart TD
    %% Node Definitions
    subgraph Edge ["Target Edge Node (Myrmex Agent)"]
        Agent["Myrmex Agent<br/>(CPU/Mem/Disk, strict allowlist)"]
    end

    subgraph Gateway ["Central Hive Gateway"]
        SSHD["Secure SSHD Receiver<br/>(Port 2222)"]
        Orch["Myrmex Hive Orchestrator"]
        LLM["Ollama LLM<br/>(Gemma 4/2)"]
    end

    Client["Client / CLI / Portal<br/>(Stdio / SSE MCP Interface)"]

    %% Connections
    Agent -- "SSH Outbound Tunnel" --> SSHD
    SSHD -- "JSON-RPC over SSH channel" --> Orch
    Orch <--> LLM
    Client <--> Orch

    %% Styling / Colors
    classDef edgeNode fill:#282828,stroke:#fabd2f,stroke-width:2px,color:#ebdbb2;
    classDef gatewayNode fill:#282828,stroke:#fe8019,stroke-width:2px,color:#ebdbb2;
    classDef clientNode fill:#282828,stroke:#b8bb26,stroke-width:2px,color:#ebdbb2;

    class Agent edgeNode;
    class SSHD,Orch,LLM gatewayNode;
    class Client clientNode;

Security Principles (Why We Made These Choices)

• Zero Inbound Ports: Instead of running an SSH daemon or exposing management ports (like HTTP/gRPC) on your target servers, the Myrmex Agent initiates a secure, outbound connection to the Myrmex Gateway. This eliminates the primary attack vector of public scanner discovery and automated brute-force attacks.
• OS-Grade Encryption: Outbound tunnels utilize standard SSH protocol channels managed via Go's native crypto/ssh package, enforcing secure Ed25519 signature validation and high-grade ciphers (ChaCha20-Poly1305, AES-GCM).
• Defense-in-Depth Allowlist: The Agent executes binaries directly via OS process forks (os/exec) rather than invoking a shell (like /bin/sh or bash). This completely bypasses shell expansion, neutralizing shell injection vulnerabilities. Arguments are strictly validated against developer-defined regular expressions in config.json.
• Central Token Authorization: Access to the Gateway's control API is guarded via secure bearer token authentication.

2. Quickstart & Installation

Myrmex Hive supports Go, Nix, Linux, macOS, and Windows environments.

Nix / NixOS (Declarative Flake)

Add Myrmex Hive to your flake.nix inputs:

inputs.myrmex-hive.url = "github:olafkfreund/myrmex-hive";

You can then run the CLI tool directly:

nix run github:olafkfreund/myrmex-hive#myrmex -- --help

To deploy a Myrmex Agent or Gateway as a declarative systemd service on NixOS, enable the module in your configuration.nix:

{ inputs, config, pkgs, ... }: {
  imports = [ inputs.myrmex-hive.nixosModules.default ];

  services.myrmex-hive = {
    enable = true;
    role = "agent"; # Or "gateway"
    configPath = "/etc/myrmex/agent_config.json";
  };
}

macOS (Homebrew)

brew tap olafkfreund/myrmex
brew install --cask myrmex-hive

Installs all three binaries: myrmex (operator CLI), myrmex-gateway, and myrmex-agent.

macOS only — Homebrew casks are not supported on Linuxbrew. On Linux use the deb/rpm packages from the releases page, the Nix flake, install.sh, or the container images.

Linux & macOS (Direct Install)

To download, compile, and configure the Agent as a background daemon (systemd on Linux, LaunchDaemon on macOS):

sudo ./install.sh

The installer automatically compiles the agent binary, generates secure Ed25519 keys, writes the config.json, and boots the service.

Windows (PowerShell Script)

To install the Agent on Windows Server or Windows 10/11, launch PowerShell as Administrator and run:

Set-ExecutionPolicy Bypass -Scope Process -Force
.\install.ps1

The PowerShell script compiles the binary, registers the agent configuration under C:\ProgramData\mcp-agent\, generates OpenSSH keys, and schedules a background task to launch the agent at system startup.

Kubernetes (Helm)

Versioned container images and a Helm chart are published to GHCR on every release:

helm install hive oci://ghcr.io/olafkfreund/charts/myrmex-hive \
  --version 1.2.0 \
  --namespace myrmex --create-namespace

--version pins the chart and the images together (v1.0.1+; v1.0.0 predates image/chart publishing). See docs/DEPLOYMENT.md for the image list, a working install with agent keys, and the TLS/Service/agent_id caveats.

3. Configuration

Agent Configuration (agent_config.json)

Allows you to define a single gateway or a list of multiple gateway addresses for High Availability (HA) failover cycling:

{
  "agent_id": "agent-nginx",
  "gateway_addr": "gateway-1.internal:2222",
  "gateway_addrs": [
    "gateway-1.internal:2222",
    "gateway-2.internal:2222"
  ],
  "private_key_path": "/etc/mcp-agent/id_ed25519",
  "allowed_commands": [
    {
      "name": "uptime",
      "args_regex": "^$"
    },
    {
      "name": "systemctl",
      "args_regex": "^(status|restart) (nginx|postgresql)$"
    }
  ]
}

Gateway Configuration (gateway_config.json)

Configures the receiver, TLS certs, OIDC/Tokens RBAC role mapping (admin, operator, read-only), and signed audit log path:

{
  "listen_addr": ":2222",
  "http_addr": ":8080",
  "host_key_path": "host_key",
  "authorized_keys_path": "authorized_keys",
  "ollama_url": "http://localhost:11434",
  "ollama_model": "gemma4:e4b",
  "auth_token": "fallback_admin_token",
  "tokens": {
    "admin-token-123": "admin",
    "operator-token-456": "operator",
    "read-token-789": "read-only"
  },
  "audit_log_path": "audit.log",
  "metrics_enabled": true
}

Note: If audit_log_path is set, Myrmex Gateway records all /api/call and /api/chat executions alongside a cryptographic signature generated using the Gateway's private SSH host key.

Note: oidc_issuer enables native OIDC/JWKS validation of real SSO tokens (opt-in; static tokens keep working alongside). See docs/SECRETS.md.

Note: metrics_enabled exposes a Prometheus endpoint at /metrics (opt-in; behind the same bearer-token auth as the rest of the API). Myrmex Gateway can also route threshold alerts to a webhook/Alertmanager and export OpenTelemetry traces over OTLP — all opt-in. See docs/OBSERVABILITY.md for the metric reference, a scrape_config, the Grafana dashboard, alert routing and tracing.

Governance & scheduling (all opt-in, backward-compatible — empty/unset means off):

{
  "risk_tiers": { "run_command": "admin", "service_control": "write" },
  "require_approval_tiers": ["write", "admin"],
  "rate_limit_per_minute": 30,
  "scheduled_tasks": [
    { "name": "nightly-disk-check", "agent_id": "agent-nginx",
      "prompt": "Report disk usage and flag anything over 85%", "interval_seconds": 3600 }
  ]
}

• risk_tiers classifies each tool (read/write/admin). Built-in mutating tools (service_control, run_command) now default to a non-read tier even when unlisted, so they can't slip past gating unclassified; your explicit entries still override.
• require_approval_tiers makes calls in those tiers wait for a second operator (myrmex approvals), and a new pending approval also pages your configured alert targets so it can't expire unnoticed. 15-minute TTL.
• rate_limit_per_minute caps tool calls in a sliding 60-second window.
• scheduled_tasks periodically run an LLM orchestration prompt against an agent and route the summary through the alerting subsystem — unattended fleet health checks. interval_seconds only (no cron).

See Golden Path for how these six gates fit together and a staged rollout.

Fail-closed defaults

Myrmex Gateway fails closed: it refuses to start (or rejects a connection) rather than run in an insecure state. When preparing configs and keys, three rules are enforced:

1. authorized_keys comment = agent-id (identity binding). The Gateway takes each connected agent's identity from the comment on its authorized_keys entry, and rejects any key whose comment is empty or does not match the agent_id the agent presents. Generate every agent key with its agent-id as the comment:

   bash

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   ssh-keygen -t ed25519 -f id_ed25519 -N "" -C "agent-nginx"
   

   Then the public line in authorized_keys must keep that comment (ssh-ed25519 AAAA... agent-nginx).

2. Persistent host_key_path required when audit_log_path is set. Audit entries are signed with the Gateway's SSH host key, so a transient (regenerated-on-restart) key would make past signatures unverifiable. The Gateway refuses to start if audit_log_path is set but host_key_path is empty. Generate a stable host key once and point host_key_path at it:

   bash

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   ssh-keygen -t ed25519 -f host_key -N "" -C "myrmex-gateway"
   

   The Gateway also refuses to start without authorized_keys_path (no agent allowlist).

3. Agents verify the Gateway host key. By default agents use trust-on-first-use (TOFU): on first connect they learn and persist the Gateway host key to <private_key_path>.gateway_hostkey (override with known_host_key_path) and require a matching key thereafter — no config change needed. To pin explicitly instead, set gateway_host_key in agent_config.json to the Gateway host public-key line:

   config.json

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   { "gateway_host_key": "ssh-ed25519 AAAA... myrmex-gateway" }
   

The local test fixtures (generate_keys.sh, setup_test_env.sh) already satisfy all three: agent keys are commented with their agent-ids, a persistent test_env/gateway/host_key is generated and mounted, and agents rely on TOFU.

4. Local LLM Setup (Ollama & Gemma 4)

Myrmex Hive orchestrates actions and interprets output using local LLMs.

Option A: Running as Docker Side-Services (Recommended)

An optional Docker setup is available via profiles in docker-compose.test.yml preloaded with the gemma4:e4b model (offline-ready):

• CPU-only mode:
  Terminal

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  docker compose --profile ollama-cpu up -d
  

• GPU-accelerated mode (requires NVIDIA Container Toolkit):
  Terminal

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  docker compose --profile ollama-gpu up -d
  

Option B: Manual Host Setup

1. Install Ollama on your Gateway server.
2. Pull the desired model (Gemma 4):
   bash

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   ollama pull gemma4:e4b
   

3. Ensure Ollama is running and accessible (default http://localhost:11434). Link it in gateway_config.json.

5. Using the Myrmex CLI (myrmex)

The Go-based Myrmex CLI allows operators to interact with the gateway, view agents, invoke tools, and launch the assistant directly from the terminal.

Global Options

• --url: Gateway API base URL (default: https://localhost:8080)
• --token: Gateway token (or MYRMEX_TOKEN environment variable)
• -o, --output: Output format (text or json)

CLI Command Reference

• Status: View connected edge agents and configured upstream servers:
  bash

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  myrmex status
  

• Agents: List detailed specifications of all connected agents:
  bash

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  myrmex agents
  

• Tools: List all available tools across the swarm:
  bash

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  myrmex tools
  

• Call: Execute a tool on a specific agent. Automatically unmasks and un-escapes payloads:
  bash

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  myrmex call agent-nginx__get_metrics
  

• Call with JSON output: Outputs a clean, raw JSON payload directly to stdout (perfect for piping to jq):
  bash

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  myrmex call agent-nginx__get_metrics -o json | jq '.cpu_usage_percent'
  

• Ask: Prompt the Myrmex AI assistant to analyze and perform actions. Terminal output is beautifully styled in monospace markdown:
  bash

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  myrmex ask "Is nginx running on agent-nginx? If not, restart it."
  

• Ask with JSON output: Forward the final AI response directly to other automated tools or agents:
  bash

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  myrmex ask "Check system metrics" -o json
  

• Ask in plan (dry-run) mode: The model is still consulted at every step, but no tool is executed — the response lists the calls it would have made. Use it to preview an action before trusting the loop:
  bash

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  myrmex ask --plan "Restart nginx on agent-nginx if it looks wedged"
  

• Fleet-wide orchestration: Run the same orchestration across many agents and aggregate the per-agent summaries. Use --all for every connected agent or --agents for a subset (combine with --plan to preview fleet-wide):
  bash

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  myrmex ask --all "Report disk usage and flag anything over 85%"
  myrmex ask --agents agent-1,agent-2 "How busy are these two?"
  

6. Real-Life Orchestration Scenarios

Scenario A: Automated Cluster Recovery

An operator issues a query: myrmex ask "Check load average on agent-db. If it's over 4.0, run diagnostic logs and let me know what process is consuming CPU."

1. The orchestrator calls agent-db__get_metrics.
2. The orchestrator parses the returned metrics JSON.
3. If the load is over 4.0, the local Gemma model identifies that agent-db__run_command with argument {"cmd":"top"} (or an allowed diagnostics script) is available in the allowlist.
4. The orchestrator executes the tool, parses the logs, and presents a clean, formatted report directly to the terminal.

Scenario B: Integration with Antigravity SDK

You can easily drive Myrmex Hive programmatically from other automated AI systems, such as Antigravity SDK agents. The gateway exposes standard endpoints (/api/chat and /api/call) protected by the secure bearer token. Your Antigravity agents can query the endpoint, receive structured tool list payloads, and trigger actions over the SSH tunnel.

Scenario C: Airgapped Gemma 4 Setup & Cryptographic Auditing

An enterprise administrator configures a secure, fully compliance-audited local assistant using the offline-ready Ollama side-service:

1. Launch Ollama: The administrator starts the preloaded CPU-only Gemma 4 side-service in Docker:
   Terminal

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   docker compose --profile ollama-cpu up -d
   

2. Configure Gateway: In gateway_config.json, the gateway is linked to the Ollama endpoint:
   json

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   "ollama_url": "http://myrmex-ollama-cpu:11434",
   "ollama_model": "gemma4:e4b"
   

3. Execute Operator Request: An operator executes a compliance-audited CLI query:
   bash

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   myrmex ask "Verify the nginx server is running on agent-nginx" --token "operator-token-456"
   

4. Log & Verify Audit Event: Since the request has write-like evaluation steps, the gateway logs a cryptographically signed entry in audit.log showing the timestamp, token role (operator), API route (/api/chat), and base64 signature. The security auditor verifies the log authenticity using the gateway's public SSH host key.

Scenario D: Testing and chaos-testing your own service

A developer wants to run, break, observe and restart a service on a real host without SSHing in.

1. Allowlist the harness, don't build a feature. Copy the entries from examples/service-test-harness/: a chaos.sh with a fixed verb set (cpu, mem, latency, loss, kill), probes pinned to hosts you name, and an apply script for config variants.
2. Verify recovery before breaking anything. Restart the service through the Gateway first — if the restart path doesn't work, you have no business injecting a fault.
3. Inject and observe. Faults are time-bounded and self-reverting, and return immediately so you can watch the effect while it happens:
   bash

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   myrmex call web-1__run_command --arguments '{"name":"/opt/myrmex/chaos.sh","args":["latency","60","250","eth0"]}'
   # → latency: applied 250 on eth0, auto-reverts in 60s
   

4. Get a record. Every injection lands in the signed audit log, so a chaos run leaves tamper-evident evidence of which fault hit which host and when.

Full guide: docs/SERVICE_TESTING.md.

7. GCP Best Practices

For cloud deployments on Google Cloud Platform:

1. VM Isolation: Deploy the Myrmex Gateway on a secure Compute Engine VM inside a private VPC. Expose the Gateway's control interface (:8080) only through Identity-Aware Proxy (IAP) to enforce IAM roles.
2. Kubernetes Agents: Deploy Myrmex Agents on Google Kubernetes Engine (GKE) as a DaemonSet to automatically monitor and manage GKE node resources.
3. Secret Security: Avoid storing the Gateway auth token in config files. Fetch the token dynamically at startup from Google Secret Manager.

8. Airgapped Datacenters

In highly secure, airgapped systems:

• Myrmex Hive requires no public DNS or external internet access.
• Deploy Ollama locally on the Gateway server. Since Ollama and the Myrmex Gateway run in the same local network, LLM inference occurs entirely within the airgapped perimeter.
• Agents establish SSH tunnels internally over local subnets, maintaining a completely airgapped, auditable management plane.