⚡🛡️ Mayros

AI agent framework · Coding CLI · Personal assistant
One platform. Your terminal, your channels, your devices.

Product · Download · Docs · Getting Started · Vision · Discord

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Mayros is an open-source AI agent framework that runs on your own devices. It ships with an interactive coding CLI (mayros code), connects to 17+ messaging channels (WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams, and more), speaks and listens on macOS/iOS/Android, and has a knowledge graph that remembers everything across sessions. Kaneru — the multi-agent venture system — lets you build AI companies that learn, remember, and improve over time. All backed by a local-first Gateway and a 20-layer security architecture.

55+ extensions · 12,400+ tests · 29 hooks · MCP server & client · Multi-model · Multi-agent · Kaneru ventures

npm install -g @apilium/mayros@latest
mayros onboard
mayros code   # interactive coding CLI

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Why Mayros?

	Mayros	Others
🧠 Knowledge Graph	AIngle Cortex — persistent memory across sessions, projects, and agents	Flat conversation history
🤖 Multi-Agent	Teams, workflows, mailbox, background tasks, git worktree isolation	Single agent
📱 Multi-Channel	17 channels — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams, Matrix, WebChat, and more	Terminal only
🔒 Security	20 layers — WASM sandbox, bash scanner, interactive permissions, namespace isolation, rate limiter	Basic sandboxing
🎙️ Voice	Always-on Voice Wake + Talk Mode on macOS, iOS, Android	None
🖥️ IDE	VSCode + JetBrains plugins with chat, plan, traces, KG	VSCode only
📊 Observability	Full trace system, decision graph, session fork/rewind	Basic logging
🔌 Extensions	55+ plugin extensions, 29 hook types, MCP server + client (4 transports)	Limited plugins
🏢 Kaneru	AI ventures with missions, squads, Q-learning routing, decision audit, fuel control	No organizational layer
🗺️ Plan Mode	Cortex-backed semantic planning: explore → assert → approve → execute	Simple plan files

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Install

Runtime: Node ≥ 22. Works with npm, pnpm, or bun.

npm install -g @apilium/mayros@latest
# or: pnpm add -g @apilium/mayros@latest

mayros onboard --install-daemon

The wizard sets up the Gateway, workspace, channels, and skills. It installs the Gateway as a background daemon (launchd/systemd) so it stays running.

The installer automatically downloads AIngle Cortex (the semantic memory sidecar). No separate install needed.

New install? Start here: Getting Started · Upgrading? Updating guide (and run mayros doctor)

Update

mayros update          # updates Mayros + Cortex automatically
# or: npm install -g @apilium/mayros@latest

Uninstall

mayros uninstall           # interactive — choose what to remove
mayros uninstall --all     # remove everything (service, state, workspace, cortex)
mayros uninstall --dry-run # preview without deleting

A detailed data loss warning is always shown before deletion — listing every category of data (knowledge graph, ventures, agent memory, decision history, etc.).

Desktop Installers

Zero-setup installers that bundle Node.js + AIngle Cortex — no prerequisites required.

Platform	Format	Download
Windows	.exe (NSIS)	Releases
macOS (Apple Silicon)	.dmg	Releases
macOS (Intel)	.dmg	Releases
Linux (x64)	.AppImage / .deb	Releases
Linux (arm64)	.AppImage / .deb	Releases

Each installer includes Node.js portable + AIngle Cortex binary, runs npm install at install time, creates desktop shortcuts, and adds Mayros to the system PATH.

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Local Models

Run models locally with automatic GPU detection and guided setup. Mayros detects your hardware and recommends compatible models.

Supported runtimes:

Runtime	Use case
Ollama	Easiest setup — one command install
vLLM	High-throughput serving with tensor parallelism
NVIDIA NIM	Optimized containers for NVIDIA GPUs

GPU detection: NVIDIA (nvidia-smi), AMD/Intel (PowerShell on Windows, lspci on Linux), Apple Silicon (sysctl), Intel Mac (system_profiler), Raspberry Pi (BCM2 chipset).

50+ model catalog segmented by 8 activities (coding, chat, reasoning, creative, analysis, multilingual, vision, agents) with VRAM-aware filtering — from CPU-only models (0 VRAM) to 80GB+ enterprise models.

mayros mamoru model detect     # detect GPU and recommend models
mayros mamoru model catalog    # browse full catalog by activity
mayros mamoru model install    # guided installation

The onboarding wizard in the web portal also includes GPU-aware model selection with compatibility indicators.

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Coding CLI

mayros code is an interactive terminal UI for coding, conversation, and agent-driven workflows.

mayros code                    # interactive TUI session
mayros tui                     # alias
mayros -p "refactor auth flow" # headless mode (non-interactive)

Features:

• 🎨 3 themes (dark, light, high-contrast) — /theme
• 📝 3 output styles (standard, explanatory, learning) — /style
• ⌨️ Vim mode with motions, operators, undo — /vim
• 📋 Ctrl+V image paste from clipboard
• 📊 /diff inline diff viewer · /context token usage chart
• 🗺️ /plan semantic plan mode (Cortex-backed)
• 📎 /copy to clipboard · /export [file] to disk
• 🔀 /model switch models · /think set thinking level · /fast toggle fast mode

Slash commands (30+):

Command	Description	Command	Description
/help	List all commands	/plan	Semantic plan mode
/new	Reset session	/diff	Show pending changes
/compact	Compact context	/context	Token usage chart
/think <level>	Set thinking	/theme	Cycle themes
/model <name>	Switch model	/vim	Toggle vim mode
/permission	Permission mode	/copy	Copy last response
/fast	Fast mode	/export [file]	Export session

Markdown-driven extensibility:

• Custom agents: ~/.mayros/agents/*.md — define persona, tools, and behavior in markdown
• Custom commands: ~/.mayros/commands/*.md — define slash commands as markdown templates

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Quick Start

# 1. Install and onboard
mayros onboard --install-daemon

# 2. Start the Gateway
mayros gateway --port 18789 --verbose

# 3. Code interactively
mayros code

# 4. Or use the agent directly
mayros agent --message "Ship checklist" --thinking high

# 5. Or send a message to any channel
mayros message send --to +1234567890 --message "Hello from Mayros"

Full beginner guide: Getting started

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Architecture

  WhatsApp · Telegram · Slack · Discord · Signal · iMessage · Teams · Matrix · WebChat
                                    │
                                    ▼
                    ┌───────────────────────────────┐
                    │          ⚡ Gateway             │
                    │     (local control plane)      │
                    │     ws://127.0.0.1:18789       │
                    └──────────────┬────────────────┘
                                   │
          ┌────────────┬───────────┼───────────┬────────────┐
          │            │           │           │            │
     mayros code   VSCode /   Pi Agent    macOS App    MCP Server
      (TUI)       JetBrains   (RPC)      (menu bar)   :19100
                                                     Claude Desktop
                                                     Claude Code

The Gateway is the single control plane — every client, channel, tool, and event connects through it.

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Multi-Channel Inbox

Mayros connects to the channels you already use. One assistant, everywhere.

Channel	Transport	Channel	Transport
WhatsApp	Baileys	Microsoft Teams	Bot Framework
Telegram	grammY	Matrix	matrix-js-sdk
Slack	Bolt	BlueBubbles	iMessage (recommended)
Discord	discord.js	iMessage	Legacy macOS
Google Chat	Chat API	Zalo / Personal	Extension
Signal	signal-cli	WebChat	Gateway WS

Security defaults: DM pairing — unknown senders get a pairing code. You approve with mayros pairing approve <channel> <code>. Public DMs require explicit opt-in.

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Knowledge Graph (AIngle Cortex)

Mayros remembers. Not just conversation history — semantic knowledge stored as RDF triples in AIngle Cortex.

Three-tier memory:

1. MAYROS.md — flat-file persona and instructions, always loaded into the system prompt
2. AIngle Cortex — RDF triple store (subject → predicate → object) scoped by namespace. Optional: falls back to file-based memory when unavailable
3. Ineru STM/LTM — short-term and long-term memory with temporal recall

Built on top:

• Code indexer — scans your codebase → RDF triples in Cortex (incremental, only re-indexes changed files)
• Project memory — persists conventions, findings, and architecture decisions across sessions
• Smart compaction — extracts key information before context pruning
• Cross-session recall — injects relevant knowledge from previous sessions into new prompts

Design principles: namespace isolation (no cross-namespace reads), graceful degradation (Cortex is a sidecar, not an FFI binding), circuit breaker with exponential backoff.

CLI: mayros kg search|explore|query|stats|triples|namespaces|export|import

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MCP Server

Mayros exposes its tools, resources, and prompts via the Model Context Protocol. Any MCP client — Claude Desktop, Claude Code, VSCode, Cursor, JetBrains — can discover and use Mayros capabilities.

Connect with Claude Desktop

# 1. Install Mayros
npm install -g @apilium/mayros@latest

# 2. Register with Claude Desktop (auto-detects paths, writes config)
mayros mcp-setup --desktop

# 3. Restart Claude Desktop — done
#    The tools icon appears in the chat input

Then in Claude Desktop, just talk naturally:

• "Remember that our API uses JWT tokens with 24h expiry" → stores in semantic memory
• "What do you know about our authentication?" → recalls from memory and knowledge graph
• "Store in the graph: project:api depends_on express v5" → creates an RDF triple
• "What's the memory status?" → shows STM/LTM/graph statistics

Connect with Claude Code

# From your terminal (not inside a Claude Code session)
mayros mcp-setup
# or manually:
claude mcp add mayros -- mayros serve --stdio

Connect with other MCP clients

# Start the HTTP server
mayros serve --http
# → MCP endpoint: http://127.0.0.1:19100/mcp
# → Legacy SSE:   http://127.0.0.1:19100/sse
# → Health check: http://127.0.0.1:19100/health

Point any MCP client to http://127.0.0.1:19100/mcp (Streamable HTTP) or http://127.0.0.1:19100/sse (legacy SSE for older clients).

Bring persistent memory to any AI coding tool

AI coding CLIs have no memory between sessions. Mayros + AIngle Cortex fill that gap: semantic knowledge graph, DAG audit trail, vector search, and ZK proofs — all local-first.

Any MCP-compatible client gets instant access to 45+ tools via a single command:

claude mcp add mayros -- mayros serve --stdio   # Claude Code
# Gemini CLI, GitHub Copilot — coming soon

Built on the open Model Context Protocol standard — no vendor lock-in.

Tools

Tool	Description
mayros_remember	Store information in persistent semantic memory
mayros_recall	Search memory by text, tags, or type
mayros_search	Vector similarity search over memory (HNSW)
mayros_forget	Delete a memory entry
mayros_memory_stats	STM/LTM/HNSW/graph statistics
mayros_memory_conflicts	Scan memory for contradictions and duplicates
mayros_memory_digest	Summary of stored memories, categories, and DAG status
mayros_cortex_query	Query the knowledge graph by subject/predicate/object
mayros_cortex_store	Store RDF triples in the knowledge graph
mayros_budget	Check token usage and budget status
mayros_policy_check	Evaluate actions against governance policies
mayros_dag_tips	Get the current DAG tip hashes (frontier)
mayros_dag_action	Submit a new action to the DAG
mayros_dag_history	Query action history for a subject or triple
mayros_dag_chain	Trace the full chain of ancestors for an action
mayros_dag_stats	DAG statistics (action count, tip count)
mayros_dag_prune	Prune old DAG actions by policy
mayros_dag_time_travel	View graph state at a specific DAG action
mayros_dag_diff	Compare graph state between two DAG actions
mayros_dag_export	Export DAG actions as JSON
mayros_dag_verify	Verify Ed25519 signature of a DAG action

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Intelligent Routing

Adaptive routing that learns and improves over time.

• Eruberu (Q-Learning model routing) — learns optimal provider/model per task type, budget level, and time slot
• Miteru (task-to-agent routing) — learns which agent handles each task type best via EMA scoring
• Hayameru (code transforms) — deterministic WASM transforms that bypass the LLM for simple edits (var→const, remove console, sort imports). 0 tokens, sub-millisecond

CLI: mayros routing status|strategy|reset

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Multi-Agent Mesh

Agents that work together. Mayros supports coordinated multi-agent workflows with shared knowledge.

• Team manager — Cortex-backed lifecycle: create, assign roles, merge results, disband
• Workflow orchestrator — built-in workflows (code-review, research, refactor) + custom definitions
• Kimeru consensus — majority vote, weighted (EMA), LLM-arbitrated, Byzantine (PBFT with HMAC), Raft leader election
• Agent mailbox — persistent inter-agent messaging (send/inbox/outbox/archive)
• Background task tracker — long-running tasks with status and cancellation
• Git worktree isolation — each agent works in its own worktree to avoid conflicts
• Session fork/rewind — checkpoint-based exploration with rewind capability
• Kakeru bridge — dual-platform coordination (Claude + Codex CLI) with file lock coordination

CLI: mayros workflow run|list · mayros dashboard team|summary|agent · mayros tasks list|status|cancel|summary · mayros mailbox list|read|send|archive|stats

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Kaneru — AI Venture Management

Kaneru turns Mayros into a full AI venture platform. Create organizations of agents that learn, coordinate, and improve over time — all stored in Cortex, all DAG-auditable.

Quick Start

# Install a pre-built venture template (security-audit, content-pipeline, devops-squad)
mayros kaneru dojo install --template security-audit --name "My Security Team"

# Or use the web portal Setup Wizard: open dashboard → Ventures → New Venture
mayros dashboard

Ventures & Missions

mayros kaneru venture create --name "Acme" --prefix ACM --directive "Ship fast" --fuel-limit 10000
mayros kaneru mission create --venture <id> --title "Audit auth module" --priority critical
mayros kaneru mission claim --mission <id> --agent scanner --run run-001
mayros kaneru mission transition --mission <id> --status review --run run-001
mayros kaneru comment add --mission <id> --author scanner --content "SQL injection found"

Agents That Learn

Agents build expertise profiles over time. Q-learning + EMA scoring routes missions to the best agent automatically.

mayros kaneru learn profile --agent scanner     # see agent expertise
mayros kaneru learn top --domain typescript --task-type security-scan  # best agents for a task
mayros kaneru route --mission "Fix SQL injection" --agents scanner,reviewer,fixer  # smart routing

Cost Analytics & Fuel Control

mayros kaneru fuel summary --venture <id>           # spend overview
mayros kaneru fuel analytics --venture <id> --period weekly  # time-series + provider breakdown
mayros kaneru fuel forecast --venture <id>           # burn rate + days until exhausted

Decision Audit

mayros kaneru consensus --squad <id> --question "Ship or block?"
mayros kaneru decisions list --venture <id>
mayros kaneru decisions explain --decision <id>     # full reasoning with votes

Distributed Ventures (P2P)

mayros kaneru discover --venture <id>    # auto-discover peers via mDNS
mayros kaneru sync --venture <id>        # DAG-sync venture state with peers

Web Portal

The portal at http://localhost:18789 includes:

• Ventures tab — venture table, mission kanban, chain of command tree, fuel bars
• Kaneru tab — squads, Q-learning router, squad builder
• Canvas tab — A2UI surfaces (overview, missions, chain, fuel) — interactive, venture-aware
• Setup Wizard — 4-step guided venture creation (Venture → Agent → Mission → Launch)
• Command Bar (Ctrl+/) — Spotlight-style overlay with venture context and voice input

MCP Tools (24)

Any MCP client (Claude, Cursor, Cline) gets access to 24 Kaneru tools:

Tool	Purpose
kaneru_venture_create/list	Venture CRUD
kaneru_mission_create/claim/list/transition	Mission lifecycle
kaneru_fuel_summary/analytics/forecast	Cost control
kaneru_dojo_list/install	Venture templates
kaneru_learn_profile/top	Agent expertise
kaneru_decisions_list/explain	Decision audit
kaneru_sync/terminal_exec	P2P sync + remote execution
kaneru_squad_create/run/status	Multi-agent squads
kaneru_delegate/consensus/route/fuse/mailbox	Coordination

CLI: mayros kaneru — 18 subcommand groups with 40+ commands total

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Mamoru — Security Layer

Mamoru (守る, "to protect") adds enterprise-grade security to Mayros:

• Sandbox — Landlock + seccomp probing for kernel-level agent isolation (Linux)
• Eruberu Proxy — All inference calls routed through the gateway with audit logging
• Mamoru Gate — Deny-by-default network egress with 12 presets and real-time approval
• Secrets Vault — AES-256-GCM encrypted secrets with scrypt key derivation
• API Keys — SHA-256 hashed agent keys with timing-safe validation
• Local Models — GPU detection + guided Ollama/vLLM setup

CLI: mayros mamoru status|egress|proxy|keys|vault|model

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IDE Plugins

Mayros lives inside your editor, connected via Gateway WebSocket.

VSCode (tools/vscode-extension/):

• Sidebar tree views: sessions, agents, skills
• Webview panels: chat, plan mode, trace viewer, knowledge graph
• Context menu actions and gutter markers

JetBrains (tools/jetbrains-plugin/):

• Unified tabbed panel with the same feature set
• Protocol v3 compatibility

Both connect to ws://127.0.0.1:18789.

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Voice & Companion Apps

• Voice Wake + Talk Mode — always-on speech for macOS/iOS/Android with ElevenLabs
• Live Canvas — agent-driven visual workspace with A2UI
• macOS app — menu bar control, Voice Wake, Talk Mode overlay, WebChat, debug tools
• iOS node — Canvas, Voice Wake, Talk Mode, camera, screen recording, Bonjour pairing
• Android node — Canvas, Talk Mode, camera, screen recording, optional SMS

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Extensions Ecosystem

55 extensions loaded as plugins at startup:

Category	Extension	Purpose
Skills	semantic-skills	QuickJS WASM sandbox, 6 semantic tools, skill marketplace
Agents	agent-mesh	Teams, workflows, consensus (majority/weighted/Byzantine/Raft), mailbox
Ventures	kaneru	Ventures, missions, projects, fuel, learning profiles, decision history
Memory	memory-semantic	Cortex integration, rules engine, agent memory, contextual awareness
Observability	semantic-observability	Traces, decision graph, session fork/rewind
Indexer	code-indexer	Codebase scanning + RDF mapping (incremental)
Security	bash-sandbox	Command parsing, domain checker, blocklist, audit log
Governance	osameru-governance	Policy enforcement, HMAC audit trail, trust tiers
Permissions	interactive-permissions	Runtime permission dialogs, intent classification, policy store
Routing	eruberu	Q-Learning model routing, budget-driven fallback, task classification
Transforms	hayameru	Deterministic code transforms that bypass LLM (0 tokens, sub-ms)
Rate Limit	tomeru-guard	Sliding window rate limiter, loop breaker, velocity circuit breaker
Hooks	llm-hooks	Markdown-defined hook evaluation with safe condition parser
MCP Server	mcp-server	21 tools exposed via MCP (memory, graph, DAG, budget, governance)
MCP Client	mcp-client	Model Context Protocol client (stdio, SSE, WebSocket, HTTP)
Economy	token-economy	Budget tracking, response cache, prompt cache optimization
Bridge	kakeru-bridge	Dual-platform coordination (Claude + Codex CLI)
Hub	skill-hub	Apilium Hub marketplace, Ed25519 signing, dependency audit
IoT	iot-bridge	IoT node fleet management
Channels	17 plugins	Discord, Telegram, WhatsApp, Slack, Signal, iMessage, Teams, Matrix, etc.

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Hooks System

29 hook types across the assistant lifecycle:

• Lifecycle — before_prompt_build, after_response, before_compaction, agent_end, etc.
• Security — permission_request (modifying: allow/deny/ask), config_change
• Coordination — teammate_idle, task_completed, notification
• HTTP webhooks — POST delivery with HMAC-SHA256 signatures, retry + exponential backoff
• Async queue — background execution with concurrency limits and dead-letter queue
• Markdown hooks — place .md files in ~/.mayros/hooks/ for custom logic

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Security (20 layers)

Mayros takes security seriously. 20 layers of defense:

Layer	Description
QuickJS WASM Sandbox	Skills run in isolated WASM — no fs, net, process, eval
Static Scanner	16 rules + anti-evasion preprocessing
Enrichment Sanitizer	Unicode normalization, injection detection, depth limits
Bash Sandbox	Command parsing, domain blocklist, audit logging
Interactive Permissions	Runtime dialogs, intent classification, policy store
Namespace Isolation	All queries forced to {ns}: prefix — no cross-namespace reads
Tool Allowlist	Intersection model — ALL active skills must allow a tool
Rate Limiter	Sliding window per skill (default: 60 calls/min)
Query/Write Limits	Per-skill caps on graph reads and writes
Enrichment Timeout	2s timeout prevents DoS via slow enrichment
Hot-Reload Validation	Atomic swap, manifest validation, downgrade blocking
Path Traversal Protection	Reject .. + isPathInside() double-check
Verify-then-Promote	Temp extract → verify hashes → atomic promote
Circuit Breaker	3-state (closed/open/half-open) + exponential backoff
DM Pairing	Unknown senders get pairing code, not access
Audit Logging	Skill name + operation tagged on all sandbox writes
Docker Sandboxing	Per-session Docker containers for non-main sessions
Governance (Osameru)	Policy compilation, enforcement gates, HMAC audit trail
Rate Limit (Tomeru)	Sliding window, token bucket, loop breaking, velocity breaker
Enterprise Managed Settings	Enforced config overrides with locked keys

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Models

Mayros is multi-model. Bring any provider.

• Models config + CLI: Models
• Auth profile rotation (OAuth vs API keys) + fallbacks: Model failover

Minimal config:

{
  agent: {
    model: "anthropic/claude-opus-4-6",
  },
}

Full reference: Configuration

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Plan Mode

Cortex-backed semantic planning for complex multi-step tasks.

• Explore — gather context from the codebase and Cortex graph
• Assert — declare facts and constraints the plan must satisfy
• Approve — review the plan before execution
• Execute — run the approved plan with progress tracking

CLI: mayros plan start|explore|assert|show|approve|execute|done|list|status · TUI: /plan

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Remote Gateway

Run the Gateway on a small Linux instance. Clients connect over Tailscale Serve/Funnel or SSH tunnels, and device nodes (macOS/iOS/Android) handle local actions via node.invoke.

Tailscale modes: off (default) · serve (tailnet-only HTTPS) · funnel (public HTTPS, requires password auth).

Details: Remote access · Tailscale guide · Docker

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Chat Commands (Channels)

Send these in WhatsApp/Telegram/Slack/Discord/Google Chat/Microsoft Teams/WebChat:

Command	Description
/status	Session status (model, tokens, cost)
/new, /reset	Reset the session
/compact	Compact session context
/think <level>	Set thinking level (off/minimal/low/medium/high/xhigh)
/verbose on|off	Toggle verbose mode
/usage off|tokens|full	Per-response usage footer
/restart	Restart the gateway (owner-only)
/activation mention|always	Group activation (groups only)

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From Source

git clone https://github.com/ApiliumCode/mayros.git
cd mayros

pnpm install
pnpm ui:build   # auto-installs UI deps on first run
pnpm build

pnpm mayros onboard --install-daemon

# Dev loop (auto-reload)
pnpm gateway:watch

pnpm mayros ... runs TypeScript directly (via tsx). pnpm build produces dist/.

Development channels:

• stable — tagged releases, npm dist-tag latest
• beta — prerelease tags, npm dist-tag beta
• dev — moving head of main, npm dist-tag dev

Switch: mayros update --channel stable|beta|dev. Details: Development channels

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Skills Hub

Skills Hub is a skill marketplace. With it enabled, the agent can search for skills automatically and pull in new ones.

• Workspace root: ~/.mayros/workspace
• Skills: ~/.mayros/workspace/skills/<skill>/SKILL.md
• Injected prompt files: AGENTS.md, SOUL.md, TOOLS.md

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Channel Setup

WhatsApp

• Link the device: pnpm mayros channels login (stores creds in ~/.mayros/credentials)
• Allowlist: channels.whatsapp.allowFrom
• Groups: channels.whatsapp.groups (include "*" to allow all)

Full guide →

Telegram

Set TELEGRAM_BOT_TOKEN or channels.telegram.botToken:

{ channels: { telegram: { botToken: "123456:ABCDEF" } } }

Full guide →

Slack

Set SLACK_BOT_TOKEN + SLACK_APP_TOKEN (or config equivalents).

Full guide →

Discord

Set DISCORD_BOT_TOKEN or channels.discord.token:

{ channels: { discord: { token: "1234abcd" } } }

Full guide →

Signal · BlueBubbles · iMessage · Teams · Matrix · Zalo · WebChat

• Signal — requires signal-cli + config section
• BlueBubbles (recommended iMessage) — channels.bluebubbles.serverUrl + password + webhook
• iMessage (legacy) — macOS-only via imsg
• Microsoft Teams — Bot Framework app + msteams config
• Matrix — matrix-js-sdk extension
• Zalo / Zalo Personal — extension channels
• WebChat — uses Gateway WebSocket directly

Channel docs →

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Documentation

Start here:

• Getting started — first-time setup
• Architecture — gateway + protocol model
• Configuration — every key + examples
• Security — security model and guidance

Platform guides:

macOS · iOS · Android · Linux · Windows (WSL2)

Operations:

Gateway runbook · Docker · Health checks · Doctor · Logging · Troubleshooting

Deep dives:

Agent loop · Sessions · Models · Presence · Streaming · Skills · Browser · Canvas · Nodes · Cron · Webhooks · Gmail Pub/Sub

Advanced:

Discovery + transports · Bonjour/mDNS · Gateway pairing · Tailscale · Remote gateway · Control UI · RPC adapters · TypeBox schemas

Templates:

AGENTS · BOOTSTRAP · IDENTITY · TOOLS · USER · Default AGENTS · Skills config

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Community

See CONTRIBUTING.md for guidelines, maintainers, and how to submit PRs. AI/vibe-coded PRs welcome! 🤖

Special thanks to Mario Zechner for his support and for pi-mono.