Contact Manager Bot: Telegram Automation Bot - AI Upgrade Built on 0G
Project Name: Contact Manager Bot
Project Website: ContactManagerBot.com
Project Brief
You²: Your AI-Powered Digital Clone for Telegram
You² transforms Telegram into an intelligent communication hub by creating a personal AI agent that learns how you communicate, remembers your relationships, and acts on your behalf. Built on a proven messaging automation platform with existing users, You² adds an AI layer that indexes your entire chat history, understands context, and executes tasks through natural language—while keeping all sensitive data under user control via 0G’s decentralized infrastructure.
What’s Already Shipped
You² builds on a production Telegram automation platform already live with existing users. The core infrastructure is tested—we’re adding an AI layer on top.
| Feature | Status | Details |
|---|---|---|
| Desktop App |  |
Windows, Mac, Linux Mini App, auto-starts, runs silently |
| Telegram Bot | |
Full command UI via @ContactManager_AutoBotContactManager_AutoBot |
| Folder Auto Sort | |
24/7 @ContactManager_AutoBotackground auto-sorting of groups into folders |
| Targeted DMs | |
Blast to entire folders with personalization |
| Templates | |
{{first_name}}, {{username}} tokens |
| Scheduling | |
One-time & recurring (daily/weekly/monthly) |
| Auto-Replies | |
Per-folder automated responses |
| Rate Limiting | |
Configurable presets, 48-hour cooldowns |
| Subscriptions | |
Recurring billing, customer portal |
| Referral System | |
via Stripe Connect |
| Split Security | |
Credentials never leave user’s device |
We’re not pitching a concept—we’re extending a working product.
What problem we’re solving
1. Information overload in messaging apps
Power users have thousands of chats, groups, and contacts. Finding “what did X say about Y three weeks ago?” means endless scrolling. Critical context gets lost. Follow-ups slip through the cracks.
2. Repetitive communication tasks drain time
Drafting similar messages, scheduling follow-ups, organizing contacts, managing templates—these consume hours weekly. Users need an assistant that understands their communication style and handles routine tasks.
3. AI assistants today are stateless and generic
ChatGPT doesn’t know your contacts. Copilot doesn’t remember your conversation history. Current AI tools provide generic responses without personal context—they can’t truly act as “you.”
4. Communication data is trapped in centralized silos
Your messaging patterns, relationship history, and AI-learned preferences are valuable personal data. Today, this data either doesn’t exist (no AI indexing) or gets locked into proprietary systems you don’t control.
Our solution and key features
You² is a personal AI agent for Telegram that learns your communication style, indexes your history, and executes tasks autonomously—with all personal data stored on 0G for user ownership and portability.
Core AI Features
1. Natural Language Bot Control
- Access all platform features through conversation—no menus, no buttons
- “Send this message to the ‘Aces’ folder every Monday at 9am”
- “Move all groups with ‘crypto’ in the name to Trading folder”
- “Show me everyone I haven’t messaged in 30 days”
- “Set up a 48-hour cooldown for the Sales folder”
2. Intelligent Chat Index & Recall
- Semantic search across entire Telegram history
- “What did Sarah say about the investor meeting?” → instant retrieval + AI summary
- “Have I spoken to this person before?” → full relationship context
- “Summarize my last 10 conversations with John” → instant briefing
- Cross-chat context: connect dots across multiple conversations
3. AI-Powered Contact Organization
- Organize people (not just groups) into Telegram folders
- AI suggests folder placement based on conversation patterns
- “Move all contacts I discuss crypto with into ‘Trading’ folder”
- “Create a ‘High Priority’ folder with contacts I message daily”
- Smart deduplication and auto-sorting in background
4. Relationship Intelligence
- Track conversation frequency, sentiment, response patterns per contact
- “You haven’t responded to John in 5 days—draft a check-in?”
- Relationship health indicators: engagement trending up/down
- Surface neglected high-priority contacts
- “Who have I been meaning to follow up with?”
5. Proactive Smart Reminders
- AI monitors unread messages, surfaces time-sensitive items
- “Greg mentioned a deadline 2 days ago—want me to respond?”
- “You have a meeting in 10 minutes (mentioned by Sarah in #team-chat)”
- Detects commitments, promises, and action items automatically
6. Smart Replies in Your Voice
- AI generates contextual responses matching your communication style
- Suggest Mode: Bot sends draft → you approve/edit/reject
- Auto-respond Mode: Configurable for low-stakes messages
- Learns from your corrections to improve over time
- “Sarah asked to remind Nancy about the meeting—should I send: ‘Hey Nance, meeting tomorrow at 5pm’?”
7. AI Template Studio
- Create message templates with AI assistance
- “Write a professional follow-up template for sales leads”
- Refine existing templates: “Make this more casual” / “Shorten this”
- Smart token suggestions: {{first_name}}, {{company}}, {{last_topic}}
- A/B testing insights: which templates get better response rates
8. Google Workspace Integration
- Natural language commands to Calendar, Gmail, Docs, Sheets
- “Email jim@gmail.com summarizing our #newclient chat”
- “Create a meeting invite for everyone in my ‘Investors’ folder”
- “Add action items from today’s messages to my Google Doc”
- “Block my calendar when I tell someone I’m busy”
Target users and market
Primary Users:
- Sales & BD Professionals - Managing hundreds of prospect relationships, need instant context recall, automated follow-ups
- Community Managers - Running multiple Telegram groups, need organization and templated responses
- Crypto/Web3 Power Users - Heavy Telegram users managing deal flow, alpha groups, networking
- Executives & Founders - High message volume, need AI triage and smart prioritization
- Agencies & Teams - Coordinating client communication across multiple accounts
Market Size:
- Telegram: 900M+ monthly active users
- Power users (10+ active chats daily): ~50M estimated
- Professional/business use: fastest growing segment
Market Category:
Personal AI Agent × Communication Automation
An emerging category where AI assistants move beyond chat interfaces into actual task execution within existing platforms users already live in.
Why we need 0G
-
Decentralized Chat Index (0G Storage)
- Vector embeddings of user’s message history
- Semantic search index for instant recall
- User owns their indexed data—portable across platforms
-
AI Memory & Preferences (0G Storage)
- Learned communication patterns and style
- Relationship scores and contact metadata
- Template performance analytics
- Exportable “clone profile” for interoperability
-
Verifiable AI Outputs (0G Storage + Chain)
- Log AI-generated messages with provenance
- Audit trail: what the AI sent on your behalf
- Hash anchoring for tamper-evident records
-
AI Inference (0G Compute)
- Message summarization and search
- Smart reply generation
- Sentiment analysis and relationship scoring
- Template generation and refinement
Features using 0G
| Feature | 0G Component | Data Stored |
|---|---|---|
| Chat Index & Recall | Storage | Vector embeddings, message metadata |
| Relationship Intelligence | Storage | Contact scores, interaction history |
| Smart Replies | Compute + Storage | Style model, generation logs |
| AI Template Studio | Compute | Template variations, performance data |
| Clone Profile | Storage | Learned preferences, exportable identity |
| Audit Trail | Chain | Hash anchors for AI actions |
Implementation approach
- Write embeddings and AI state to 0G Storage using content-addressed schema
- Run inference workloads on 0G Compute (summarization, generation, analysis)
- Anchor important AI actions (sent messages, template changes) to 0G Chain
- Provide user dashboard to view/export their 0G-stored data
Timeline
| Week | Milestone |
|---|---|
| W1-2 | 0G Storage integration: chat indexing pipeline, vector embeddings |
| W3-4 | Semantic search + recall live; basic 0G Compute for summarization |
| W5-6 | Smart replies with style learning; relationship scoring |
| W7-8 | AI Template Studio; Google Workspace integration |
| W9-10 | Contact organization AI; natural language command interface |
| W11-12 | Clone profile export; audit trail; polish and optimization |
Expected benefits of 0G integration
- User trust: Your AI clone’s “brain” is verifiable and user-owned
- Portability: Clone profile exportable to other platforms/agents
- Cost efficiency: Offload heavy embedding/inference to 0G Compute
- Differentiation: First personal AI agent with decentralized memory
Resources
- Telegram: contactmanager_autobot
- Twitter: tgautomationbot
- GitHub (Public Releases): /kurtivy/telegram-bot-releases
Appendix: Technical Architecture
┌─────────────────────────────────────────────────────────────────┐
│ User's Device │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ Desktop App (EXE) │ │
│ │ - Telegram session (credentials stay local) │ │
│ │ - Job execution │ │
│ │ - Message sending │ │
│ └──────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ Cloud Infrastructure │
│ ┌──────────────────┐ ┌──────────────────┐ ┌──────────────┐ │
│ │ Telegram Bot │ │ Job Queue │ │ PostgreSQL │ │
│ │ (Commands/UI) │ │ (Redis) │ │ (Metadata) │ │
│ └──────────────────┘ └──────────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 0G Infrastructure │
│ ┌──────────────────┐ ┌──────────────────┐ ┌──────────────┐ │
│ │ 0G Storage │ │ 0G Compute │ │ 0G Chain │ │
│ │ - Chat index │ │ - AI inference │ │ - Audit │ │
│ │ - Clone profile │ │ - Embeddings │ │ anchors │ │
│ │ - Relationship │ │ - Summaries │ │ │ │
│ │ data │ │ │ │ │ │
│ └──────────────────┘ └──────────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Security Model:
- Telegram credentials NEVER leave user’s device
- AI processes message content, but raw messages stay local
- 0G stores embeddings and metadata, not plaintext messages
- User controls what gets indexed and can delete at any time
Appendix: Comparison to Existing Solutions
| Feature | You² | Telegram Bots | ChatGPT | Notion AI |
|---|---|---|---|---|
| Personal chat history access | |
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| Learns your communication style | |
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| Executes actions (sends messages) | |
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| Relationship tracking | |
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| User-owned AI data | (0G) |
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| Works inside Telegram | |
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| Google Workspace integration | |
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Plugins | |
Appendix: Why 0G vs Alternatives
| Requirement | 0G | AWS/GCP | IPFS | Arweave |
|---|---|---|---|---|
| User-owned storage | |
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| Integrated compute | |
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| Sub-second queries | |
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| On-chain anchoring | |
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| AI-native design | |
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| Cost-effective for embeddings | |
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0G provides the unified stack (storage + compute + chain) needed for a personal AI agent without stitching together multiple providers.