TaskOS Introduction
TaskOS is the living memory engine of Workspace DNA—the intelligence that transforms static data into adaptive, evolving knowledge systems. It powers the living memory layer that learns from every interaction, connects insights across contexts, and enables living systems to remember, reason, and grow.
🧠 Living Memory Layer Role:
Adaptive Data Structures - Projects that evolve with your business needs
Contextual Intelligence - Knowledge that connects across all living systems
Evolutionary Learning - Memory that improves with every use and insight
Harmonious Integration - Memory that feeds living intelligence and enables living motion
If you prefer a fully no-code experience, check out Taskade Genesis, which provides a Genesis prompt builder powered by TaskOS under the hood.
How TaskOS Works
TaskOS operates on a simple but powerful premise: work backwards from intent. When you provide a prompt like "build a tool to track customer feature requests," TaskOS analyzes the goal and automatically generates the entire living system with Workspace DNA:
🧠 Living Memory Layer Creation: Generates adaptive project structures with intelligent custom fields and evolving data relationships (e.g., "Feature," "Status," "Priority," "Votes" that learn from usage patterns)
🤖 Living Intelligence Layer Setup: Instantiates superior AI Agents with deeper learning capabilities, trained on living memory context with specialized commands like
add_request,categorize_feedback, orsummarize_trends⚡ Living Motion Layer Configuration: Sets up advanced automations with AI-powered decision making, public forms, webhooks, and integrations that adapt based on living memory insights
🌟 Living System Integration: Connects all layers into a cohesive living system with real-time synchronization and evolutionary learning
🔄 Living System Flow:
Intent → Living Memory (Project Structure) → Living Intelligence (AI Agents) → Living Motion (Automations) → Complete Living SystemLiving Memory Kits: TaskOS in Action Today
The TaskOS vision is already realized through Taskade AI Kits—ready-to-deploy living systems that bundle adaptive memory, intelligent processing, and automated action into cohesive Workspace DNA implementations.
Living Memory Kit Examples
🏢 AI Lead Generation Living System
🧠 Living Memory: Lead Tracker project with custom fields that evolve based on conversion patterns and learn from successful lead sources
🤖 Living Intelligence: Lead Processing Agent that adapts qualification criteria based on historical conversion data and learns optimal follow-up timing
⚡ Living Motion: Automated lead capture that evolves its qualification process and adapts routing based on agent performance insights
🎧 Customer Support Living System
🧠 Living Memory: Support Ticket Tracker that learns from resolution patterns and evolves ticket categorization based on customer feedback
🤖 Living Intelligence: Customer Support Agent that improves response quality by learning from successful resolutions and customer satisfaction trends
⚡ Living Motion: Public support form that adapts its routing logic based on agent performance and automatically escalates based on learned priority patterns
🏠 Real Estate Intelligence Living System
🧠 Living Memory: RSS Tracker that learns which news sources provide highest-value insights and evolves content categorization
🤖 Living Intelligence: News Researcher Agent that adapts analysis depth based on market conditions and learns optimal summary formats
⚡ Living Motion: Automated RSS processing that adjusts report frequency and content based on market volatility and reader engagement
The Living Generator: One Prompt, Complete Living System
The core innovation of TaskOS is the Living Generator—a system that creates complete living systems from a single intent, weaving together the Workspace DNA trinity:
# Generate a complete living system from intent
curl -X POST https://www.taskade.com/api/v1/generate \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{"prompt": "Create a customer feedback portal with AI analysis"}'
# Returns: Living Memory (Project) + Living Intelligence (Agent) + Living Motion (Automation), all harmoniously connected🌟 Living System Evolution:
Intent → Living Memory Creation → Living Intelligence Training → Living Motion Orchestration → Complete Living System
↓ ↓ ↓ ↓ ↓
Adaptive Contextual Learning Intelligent Execution Evolutionary Self-Improving
Structure & Training & Adaptation Optimization EcosystemLiving Memory Architecture
TaskOS is built on Taskade's enhanced real-time collaboration platform, serving as the living memory foundation that enables Workspace DNA. Every component is designed to create adaptive, evolving knowledge systems:
🧠 Living Memory Components
Adaptive Real-time Document System: Conflict-free collaborative editing that learns from usage patterns and optimizes for team workflows
Intelligent GraphQL API Layer: Type-safe API with subscriptions for live updates and global synchronization that adapts to data access patterns
Enterprise Permission System: Advanced role-based access control with fine-grained permissions that evolve with organizational needs
Predictive Search & Discovery: Hybrid search combining keyword and semantic (vector) search with learning capabilities that improve relevance over time
Evolutionary AI Integration: Enhanced LangChain-powered agents with advanced tool access, memory, and continuous learning from living memory patterns
Agent Capabilities
// Example agent configuration
const agentConfig = {
description: "Customer feedback analysis specialist",
commands: [
{
id: "analyze_feedback",
name: "Analyze Feedback",
prompt:
"Analyze customer feedback and identify key themes, sentiment, and actionable insights",
},
{
id: "prioritize_features",
name: "Prioritize Features",
prompt:
"Rank feature requests by impact, effort, and strategic alignment",
},
],
tools: [
"knowledge_search",
"web_search",
"project_context",
"automation_trigger",
],
knowledgeEnabled: true,
};Automation Workflows
TaskOS supports complex multi-step automations:
100+ Integrations: Slack, GitHub, HubSpot, Google Workspace, and more
Event-driven Triggers: Form submissions, webhooks, schedules, project events
AI-powered Actions: Content generation, data analysis, decision making
Human-in-the-Loop: Approval workflows for sensitive operations
Creating and Sharing Workflows
Current: AI Kits
Today, you can package and share complete workflows as AI Kits:
Create: Build your project, agent, and automation in a folder
Package: Right-click the folder and select "Create Kit"
Share: Enable public access to generate a shareable link
Install: Others can install your kit with one click and guided setup
Future: .tsk Standard
.tsk StandardWe're evolving toward the Taskade System Kit (.tsk) format for even greater portability:
my-app.tsk/
├── project.json # Data schema and initial content
├── agent.json # AI agent configuration and commands
├── automation.json # Workflow definitions and triggers
├── knowledge/ # Training materials and context
│ └── domain-guide.pdf
└── meta.json # App metadata and dependenciesThis will enable:
Version Control: Track entire application architectures in Git
Programmatic Creation: Build kits via CLI and API
Cross-Platform Compatibility: Export/import between different platforms
Template Ecosystem: Community-driven marketplace of reusable patterns
Living Memory Applications
TaskOS excels at creating living systems that combine adaptive data structures, evolving intelligence, and intelligent automation:
🏢 Living Internal Systems
Adaptive CRM: Lead scoring that learns from conversion patterns, automated follow-ups that improve timing, sales insights that predict opportunities
Intelligent Project Dashboard: Status updates that anticipate risks, risk analysis that evolves with project history, resource allocation that learns from success patterns
Evolving Knowledge Base: Search that improves relevance over time, content recommendations that adapt to user needs, knowledge structures that grow more organized
Smart Bug Tracker: Triage that learns from resolution patterns, assignment that predicts optimal team members, resolution tracking that improves processes
🌐 Living Customer-Facing Systems
Intelligent Support Portal: AI chatbot that learns from every interaction, knowledge base that evolves with customer questions, support processes that continuously improve
Adaptive Lead Capture: Form processing that learns qualification criteria, intelligent nurturing that adapts to engagement patterns, conversion optimization that evolves
Evolving Feedback Collection: Analysis that improves accuracy over time, reporting that surfaces deeper insights, collection methods that optimize response rates
Smart Booking System: Scheduling that learns availability patterns, conflict resolution that improves, customer preferences that enhance future bookings
🤖 Living Agentic Workflows
Intelligent Content Pipeline: Research that learns optimal sources, generation that improves quality, review processes that evolve, publishing that optimizes timing
Adaptive Data Processing: Ingestion patterns that learn from data quality, analysis that deepens over time, reporting that becomes more insightful
Evolving Quality Assurance: Testing that learns from failure patterns, compliance checking that adapts to regulations, quality metrics that improve standards
Personalized Onboarding: Workflows that learn from successful paths, progress tracking that anticipates needs, personalization that grows more accurate
Development Approach
TaskOS is designed for both prompt-driven generation and programmatic customization:
Prompt-to-App Generation (Coming Soon)
# Generate a complete application from a prompt
curl -X POST https://www.taskade.com/api/v1/generate \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{"prompt": "Create a customer feedback portal with AI analysis"}'Current: Component-by-Component Building
# Create the knowledge layer
curl -X POST https://www.taskade.com/api/v1/projects \
-d '{"name": "Customer Feedback", "folderId": "SUBSPACE_ID"}'
# Add the intelligence layer
curl -X POST https://www.taskade.com/api/v1/folders/SUBSPACE_ID/agents/generate \
-d '{"prompt": "Create a feedback analysis agent"}'
# Package as a kit (via UI, API coming soon)LLM Integration Guidelines
For developers building with LLMs and TaskOS:
Structured Output Format
Use Markdown with structured lists, checkboxes, and headings
Generate structured output (Project + Agent + Automation) for broad user intents
Prefer brevity, clarity, and utility in all outputs
Content Recommendations
Suggest appropriate project views: list, board, table, calendar, mindmap, gantt, orgchart
Recommend knowledge uploads (PDFs, YouTube videos, web links) to enhance agents
Link contextual knowledge for better agent performance
Best Practices
TaskOS is agent-native, real-time, and structured
Agents are vertical and domain-specific, not general chatbots
Workflows follow: Idea → Project → Agent → Automation → Execution
File format: YAML for structure, Markdown for user-facing content
Integration with Taskade Platform
TaskOS leverages Taskade's full platform capabilities:
8 Project Views: List, Board, Calendar, Table, Mind Map, Org Chart, Action Sheet, Gantt
Rich Content Types: Tasks, notes, files, embeds, and custom fields
Real-time Collaboration: Live cursors, instant sync, and conflict resolution
Enterprise Features: SSO, audit logs, advanced permissions, and compliance
Mobile & Desktop: Native apps with offline support and sync
Getting Started
Explore AI Kits - See TaskOS in action with pre-built workflows
Install a Kit - Experience the one-click deployment process
Learn the Architecture - Understand how the pieces fit together
Try the API - Start building with our building blocks
Join the Community - Connect with other developers
Workspace DNA Integration
TaskOS serves as the living memory foundation that powers the complete Workspace DNA trinity. Here's how it connects with the other layers:
🔄 Complete Workspace DNA Flow
Living Memory (TaskOS) ←→ Living Intelligence (AI Agents & EVE) ←→ Living Motion (Automations)
↓ ↓ ↓
Adaptive Data Structures Contextual AI Learning Intelligent Workflow Execution
Knowledge Evolution Personality Development Process Optimization
Pattern Recognition Predictive Assistance Outcome Improvement🧠 Living Memory Layer Responsibilities
Data Structure Evolution: Projects that adapt to business needs and learn from usage patterns
Knowledge Synthesis: Connecting insights across all living systems and contexts
Context Preservation: Maintaining institutional knowledge that feeds AI learning
Pattern Amplification: Identifying trends that improve both intelligence and motion layers
🌟 Cross-Layer Harmonization
With Living Intelligence (AI Features):
TaskOS provides the knowledge foundation that AI agents learn from
Agents contribute insights back to living memory for continuous improvement
Together they create systems that understand context and predict needs
With Living Motion (Automations):
TaskOS structures the data that automations act upon intelligently
Automations generate new data that enriches living memory patterns
Together they create workflows that learn and optimize over time
With Living Systems (Genesis):
TaskOS powers the underlying memory layer for all Genesis applications
Genesis creates user interfaces on top of TaskOS-powered living memory
Together they deliver complete business solutions that evolve
🚀 Living Memory Evolution
TaskOS represents the evolution from static databases to living memory systems:
Traditional Databases → Living Memory Systems
Fixed schemas → Adaptive structures
Isolated data → Connected knowledge
Manual updates → Automatic learning
Static queries → Intelligent discovery
One-way storage → Bi-directional evolution
TaskOS is available today through AI Kits. The Core API provides the building blocks for custom development, while the full prompt-to-app Generator and .tsk standard are coming soon.
Experience the future of living memory systems at taskade.com/kits.
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