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TITAN — The Intelligent Task Automation Network. A premium, autonomous AI agent framework with configurable autonomy, prompt injection shield, and Mission Control GUI.

Package Exports

  • titan-agent
  • titan-agent/dist/cli/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (titan-agent) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

TITAN — The Intelligent Task Automation Network

TITAN Logo

A fully autonomous AI agent framework. 14 providers. 30 tools. Pure JavaScript — no native compilation.

npm version License 14 Providers 30 Tools

Quick StartWhy TITANFeaturesProvidersMission ControlMesh NetworkingCustom SkillsCLI


Quick Start

Requirements: Node.js >= 20

npm install -g titan-agent
titan onboard             # Interactive setup (pick a provider, paste your API key)
titan gateway             # Launch Mission Control at http://localhost:48420
titan agent -m "Hello"    # Talk to your agent from the terminal

From Source

git clone https://github.com/Djtony707/TITAN.git && cd TITAN/titan
npm install
cp .env.example .env      # Add API keys
npm run dev:gateway        # Start in dev mode

Why TITAN

TITAN Typical AI agent frameworks
Setup npm i -g titan-agent && titan onboard Docker, Python venvs, native compilation
Native compilation None — all pure JS deps Often require node-gyp, system libraries
Providers 14 (50+ preconfigured models) with automatic failover 1-4 providers, no failover
Security Prompt injection shield, DM pairing, E2E encryption, tool sandboxing Minimal or none
Memory 4 systems (episodic, learning, relationship, temporal graph) Basic chat history
Multi-computer Built-in mesh with mDNS + Tailscale auto-discovery Manual config or unsupported
Skills 30 built-in + drop-in YAML/JS creation Fixed tool set
Cost control Smart routing, daily budgets, context summarization Uncapped token spend
GUI 11-panel Mission Control dashboard CLI only or basic web UI
Codebase ~15K lines TypeScript 50K-200K+ lines

Features

14 AI Providers, 50+ Models

Connect any combination of cloud and local models. TITAN routes, fails over, and load-balances automatically.

titan model --discover       # Live-detect all available models
titan model --alias fast=openai/gpt-4o-mini   # Create shortcuts
titan model --set anthropic/claude-sonnet-4-20250514

Built-in aliases: fast, smart, cheap, reasoning — fully configurable.

30 Built-in Tools

Category Tools
Shell & Process shell, exec, process (list, kill, spawn, poll, log)
Filesystem read_file, write_file, edit_file, list_dir, apply_patch
Web web_search, web_fetch, browser (CDP), browse_url, browser_search, browser_auto_nav (Playwright)
Intelligence auto_generate_skill, analyze_image, transcribe_audio, generate_speech
Automation cron, webhook
Memory memory, switch_model, graph_remember, graph_search, graph_entities, graph_recall
Sessions sessions_list, sessions_history, sessions_send, sessions_close

Temporal Knowledge Graph

Pure TypeScript graph memory — no Docker, no Neo4j, no external services.

  • Conversations are automatically recorded as timestamped episodes
  • Entities (people, projects, topics) are extracted and linked
  • Relevant memories are injected into every system prompt
  • Searchable across time with natural language
titan graphiti --init     # Initialize the graph
titan graphiti --stats    # View entity/episode counts

Multi-Agent System

Run up to 5 concurrent agents, each with its own model and personality.

titan agents --spawn researcher --model openai/gpt-4o
titan agents --spawn coder --model ollama/llama3.1
titan agents --list

Prompt Injection Shield

Two-layer defense against prompt injection attacks:

  • Heuristic engine — Detects "ignore previous instructions", system prompt extraction, developer mode exploits
  • Strict mode — Keyword density analysis and tail manipulation detection

Combined with the separate DM pairing system, which requires new senders to be approved before they can interact with your agent.

Loop Detection & Circuit Breaker

Three detection algorithms prevent runaway tool loops:

  • Repeat detection — Same tool, same arguments, called repeatedly
  • No-progress detection — Tool returns identical output on consecutive calls
  • Ping-pong detection — Alternating tool patterns with no forward progress
  • Global circuit breaker — Hard stop after configurable threshold

Task Planner

Automatic goal decomposition with dependency-aware execution:

  • Breaks complex goals into ordered sub-tasks
  • Parallel execution of independent tasks
  • 3x auto-retry with exponential backoff
  • Persistent state at ~/.titan/plans/

Smart Context & Cost Optimization

  • Auto-summarizes conversation history to stay within token budgets
  • Routes simple queries to cheaper models automatically
  • Per-session cost tracking with configurable daily budgets

Continuous Learning

TITAN gets smarter the more you use it:

  • Tracks tool success/failure rates across all interactions
  • Records error patterns and successful resolutions
  • Persistent knowledge base at ~/.titan/knowledge.json
  • Learned context injected into every system prompt

Relationship Memory

  • Persistent user profile that survives restarts
  • Remembers your name, preferences, work context
  • Personal continuity across all sessions

E2E Encrypted Sessions

AES-256-GCM encryption for sensitive conversations. Keys generated per-session, held in memory only.


Providers

TITAN supports 14 AI providers out of the box. Add your API key and go.

Provider Models Type
Anthropic Claude Opus 4, Sonnet 4, Haiku 4, 3.5 Sonnet/Haiku Cloud
OpenAI GPT-4o, GPT-4o-mini, GPT-4 Turbo, o1, o1-mini, o3-mini Cloud
Google Gemini 2.5 Pro/Flash, 2.0 Flash, 1.5 Pro Cloud
Ollama Any locally installed model Local
Groq LLaMA 3.3 70B, Mixtral, Gemma 2, DeepSeek-R1 Distill Cloud (Fast inference)
Mistral Mistral Large, Medium, Small, Nemo, Codestral Cloud
OpenRouter 290+ models from all providers Cloud (Aggregator)
Together LLaMA 3.3, DeepSeek-R1, Qwen 2.5, Mixtral Cloud
Fireworks LLaMA 3.3, Mixtral, Qwen 3 Cloud (Fast inference)
xAI Grok-3, Grok-3-fast, Grok-3-mini Cloud
DeepSeek DeepSeek Chat, DeepSeek Reasoner Cloud
Cerebras LLaMA 3.3, LLaMA 3.1, Qwen 3 Cloud (Fast inference)
Cohere Command-R+, Command-R, Command-R 7B Cloud
Perplexity Sonar, Sonar Pro, Sonar Reasoning Cloud (Search-augmented)

All providers support automatic failover. If one goes down, TITAN seamlessly routes to the next available provider.

# Configure via CLI
titan config set providers.groq.apiKey "gsk_..."
titan config set providers.openrouter.apiKey "sk-or-..."

# Or via environment variables
export GROQ_API_KEY="gsk_..."
export OPENROUTER_API_KEY="sk-or-..."

Mission Control

An 11-panel dark-mode dashboard at http://localhost:48420.

Panel Description
Overview System health, uptime, memory, model info, cost stats
WebChat Real-time chat with your agent via WebSocket
Agents Spawn, stop, and monitor agent instances
Settings 6-tab live configuration (AI, Providers, Channels, Security, Gateway, Profile)
Channels Connection status for all channel adapters
Skills Installed skills with enable/disable controls
Sessions Active sessions with message counts and history
Learning Tool success rates and knowledge base stats
Security Audit log and DM pairing management
Logs Color-coded real-time log viewer with filtering
Memory Graph Visual force-directed graph of entities and relationships

All settings are editable live without restarting the gateway.


Mesh Networking

Deploy TITAN across multiple computers with zero configuration. Machines auto-discover each other and share models.

LAN Discovery (mDNS)

Machines on the same network find each other automatically via Bonjour/mDNS.

# On machine 1
titan mesh --init        # Generates a shared secret

# On machine 2
titan mesh --join "your-secret-here"

# Check connectivity
titan mesh --status

Tailscale Integration

If you run Tailscale, TITAN automatically discovers peers on your VPN — works across networks, data centers, and cloud instances.

{
  "mesh": {
    "enabled": true,
    "tailscale": true
  }
}

Remote Model Routing

When a requested model isn't available locally, TITAN automatically routes to a peer that has it. Load-balanced across all available nodes.


Custom Skills

Create new tools for TITAN in seconds. Drop files into ~/.titan/skills/ and they're loaded automatically.

YAML Skills (Easiest)

# ~/.titan/skills/word_count.yaml
name: word_count
description: Count words, lines, and characters in a file
parameters:
  filePath:
    type: string
    description: Path to the file
    required: true
script: |
  const fs = require('fs');
  const content = fs.readFileSync(args.filePath, 'utf-8');
  const lines = content.split('\n').length;
  const words = content.split(/\s+/).filter(Boolean).length;
  return 'Lines: ' + lines + ', Words: ' + words + ', Characters: ' + content.length;

JavaScript Skills

// ~/.titan/skills/hello.js
export default {
  name: 'hello',
  description: 'Greet someone by name',
  parameters: {
    type: 'object',
    properties: {
      name: { type: 'string', description: 'Name to greet' }
    },
    required: ['name']
  },
  execute: async (args) => `Hello, ${args.name}!`
};

AI-Generated Skills

titan skills --create "a tool that converts CSV files to JSON"

TITAN writes, compiles, and hot-loads the skill instantly.

Skill Auto-Generation

When TITAN encounters a task it can't solve with existing tools, it can write a new skill on the fly, compile it, and use it immediately.


Channel Adapters

Connect TITAN to your messaging platforms:

Channel Library Status
Discord discord.js Ready
Telegram grammY Ready
Slack @slack/bolt Ready
Google Chat Webhooks Ready
WebChat Built-in WebSocket Ready

All channels support the DM pairing security system. Configure via ~/.titan/titan.json or Mission Control Settings.


Recipes

Reusable multi-step workflows triggered by slash commands.

# Built-in recipes
/code-review     # Review files for bugs and improvements
/standup         # Prepare daily standup notes
/explain         # Explain code in plain English
/brainstorm      # Generate ideas on a topic
/debug           # Debug errors with guided analysis

Recipes support parameterized prompts ({{variable}}), optional tool-direct steps, and confirmation gates.


CLI Reference

Command Description
titan onboard Interactive setup wizard
titan gateway Start Mission Control
titan agent -m "..." Send a message to your agent
titan send --to ch:id -m "..." Message a specific channel
titan model --list Show all configured models
titan model --discover Live-detect available models
titan model --set <model> Switch the active model
titan model --alias <name>=<model> Create a model alias
titan agents Multi-agent management
titan mesh --init Initialize mesh networking
titan mesh --status View mesh peers and models
titan skills List installed skills
titan skills --create "..." Generate a skill with AI
titan pairing Manage DM access control
titan doctor System diagnostics
titan config View/edit configuration
titan graphiti --init Initialize knowledge graph
titan graphiti --stats Graph statistics
titan mcp Manage MCP servers
titan recipe --list List and run saved recipes
titan monitor Manage proactive file/schedule monitors
titan update Update to latest version

Configuration

All state lives in ~/.titan/:

Path Purpose
titan.json Main configuration
titan-data.json Runtime data (sessions, webhooks)
graph.json Temporal knowledge graph
knowledge.json Learning engine knowledge base
profile.json User profile and preferences
node-id Mesh networking node identity
logs/ Daily log files
plans/ Persistent task planner state
skills/ Custom user skills (YAML, JS)
recipes/ Saved recipe workflows

Development

npm run build          # tsup ESM production build
npm run test           # vitest (99 tests, 10 files)
npm run ci             # typecheck + full test suite
npm run typecheck      # tsc --noEmit
npm run dev:gateway    # Dev mode with tsx
npm run test:coverage  # Coverage report

Architecture

src/
  agent/        Core agent loop, multi-agent, swarm, planner, autonomy
  channels/     Discord, Telegram, Slack, Google Chat, WebChat
  providers/    Anthropic, OpenAI, Google, Ollama + 10 OpenAI-compatible
  memory/       Episodic, learning, relationship, temporal graph
  skills/       30 built-in tools + user skill loader
  security/     Shield, sandbox, encryption, pairing
  gateway/      HTTP/WS server + Mission Control dashboard
  mesh/         mDNS + Tailscale peer discovery, WebSocket transport
  recipes/      Workflow engine + persistence
  mcp/          Model Context Protocol client
  config/       Zod schema + loader
  cli/          Commander.js CLI (15 commands)
  utils/        Constants, logger, helpers

Autonomy Modes

Mode Behavior
autonomous Full auto — TITAN executes all tools without asking
supervised Asks before dangerous operations (default)
locked Asks permission for every tool call

Configure via titan config set autonomy.mode supervised or Mission Control Settings.


Roadmap

See TASKS.md for the full development roadmap including Phase 3 and Phase 4 plans.

Upcoming

  • GitHub skill (PR review, issues, repos)
  • Email skill (IMAP/SMTP)
  • Morning briefing recipe
  • Computer use (screenshots, mouse, keyboard)
  • WhatsApp channel adapter
  • Image generation skill
  • PDF parsing skill
  • Persistent webhooks
  • Plugin marketplace

Contributing

  1. Fork the repo
  2. Create a feature branch (git checkout -b feat/my-feature)
  3. Commit your changes (git commit -m "feat: add my feature")
  4. Push (git push origin feat/my-feature)
  5. Open a Pull Request

The Future of TITAN

TITAN is under active development and growing fast. Every release brings new providers, new tools, and deeper intelligence. The roadmap includes computer use, GitHub/email integration, a plugin marketplace, WhatsApp and more channel adapters, image generation, and much more.

This is just the beginning. If you're looking for an AI agent framework that's lightweight enough to run on a Raspberry Pi but powerful enough to orchestrate multi-model workflows across a mesh of machines — you're in the right place.

Star the repo, join the journey, and help shape what autonomous AI agents look like.


Acknowledgments

TITAN stands on the shoulders of giants. Special thanks to the projects and people whose work made this possible.

Architectural Inspiration

  • OpenClaw by Peter Steinberger — TITAN's architecture, CLI surface, tool signatures, workspace layout (AGENTS.md, SOUL.md, TOOLS.md), and DM pairing system are inspired by OpenClaw, the open-source personal AI assistant framework. Licensed under MIT.

Temporal Knowledge Graph

Open-Source Libraries

  • Express — HTTP server and API routing
  • Zod — Configuration schema validation
  • Commander.js — CLI framework
  • ws — WebSocket server for real-time communication
  • Chalk — Terminal styling
  • Ora — Terminal spinners
  • Boxen — Terminal box rendering
  • Inquirer — Interactive CLI prompts
  • dotenv — Environment variable loading
  • node-cron — Cron scheduling
  • uuid — Unique ID generation
  • Playwright — Browser automation (optional)
  • bonjour-service — mDNS mesh discovery (optional)
  • tsup — Build tooling
  • Vitest — Test framework
  • TypeScript — Type-safe development

Thank you to all the maintainers and contributors of these projects.


License

MIT License — Copyright (c) 2026 Tony Elliott

Created by Tony Elliott (Djtony707)