Living documentation that makes your AI understand your entire business. An agentic system that reads, remembers, acts, and learns — built from the ground up.
Living documentation across 8 dimensions. Every decision, every process, every goal — structured so AI agents can act with full context.
What you sell, how you make money, your market positioning
Current priorities, quarterly goals, what you're focused on
Pricing, packages, funnels, sales process architecture
Every person, their role, their responsibilities and capacity
How things work, standard operating procedures, workflows
Revenue, expenses, KPIs, targets, P&L breakdown
What matters this week, what's urgent, what's next
Revenue targets, growth milestones, where you're heading
Every feature built from scratch. No SaaS dependencies. Full control over data, models, and integrations.
Full Telegram integration with text, inline keyboards, voice messages, group chats, and rich media support. Always-on, long-polling architecture.
Gmail API with real-time notifications. Read, compose, search, and send emails — all through natural language commands to the agent.
Persistent local memory stores facts, preferences, and conversation context. Relevant memories loaded into each LLM call automatically.
Interconnected entities with relationships. Store memories as a graph and traverse connections for deeper understanding.
Auto-summarize older messages when approaching token limits. Supports /compact command for manual session compression.
Extract and store information from images, audio, video, and documents with cross-modal retrieval capabilities.
Track access patterns, merge duplicates, reorganize structure automatically, and implement memory decay for relevance.
Semantic similarity search with vector embeddings. Cross-device persistence and session synchronization across all agents.
Unified interface across OpenAI, Anthropic, Google, DeepSeek, Groq, and local models. Hot-swap via /model command.
Single API key to access GPT, Claude, Gemini, Llama, Mistral, and more. Automatic fallback routing.
Fully offline private operation with locally-hosted models. Zero external API calls when running in air-gapped mode.
Execute commands, capture output, return to LLM. Includes allowlists, confirmation prompts, and configurable timeouts.
Read, write, create, delete, list, search files with path allowlisting and size limits for safe operation.
Navigate, click, type, screenshot, and extract content with Playwright/Puppeteer for web-based workflows.
Search via multiple providers. Return top results with titles, snippets, URLs for real-time information access.
Cron scheduler supporting cron expressions or natural language. List, pause, delete scheduled automations.
Model Context Protocol client bridge. Read server configs from JSON, connect via stdio/SSE, expose tools to the LLM.
HTTP endpoints for incoming webhooks. Parse payloads and route to the agent for event-driven automation.
Markdown files defining new capabilities. Load from /skills directory on startup. Extensible without code changes.
At configurable time, gather calendar events, pipeline status, email highlights, and priorities — then deliver a summary briefing.
Check for new events at intervals and proactively notify when something noteworthy is detected. Always-watching agent.
Track behavior patterns and suggest actions before being asked. The agent anticipates what you need.
Run all shell commands inside isolated containers. Mount only allowed directories for maximum safety.
Security allowlists for commands, file paths, and network endpoints. Block and log unauthorized actions.
Encrypt API keys at rest with AES-256. Decrypt only at runtime via master key. Zero plain-text secrets.
Use local LLMs, disable all external API calls, store everything locally. Total offline capability.
The LLM calls tools, gets results, and iterates until a final response or max iterations. Autonomous task completion.
Spawn specialized sub-agents (researcher, coder, reviewer) that collaborate on complex multi-step tasks.
Multiple sessions with history sharing, inter-agent messaging, and coordinated workflows across the swarm.
Decompose goals into subtasks, plan execution order, run each step, and report progress autonomously.
Trait-based plugin architecture. Define interfaces for Provider, Channel, Tool, Memory. Swap via configuration.
Dockerfile + docker-compose with persistent volumes, environment variables, auto-restart, and health checks.
Edge deployment with Durable Objects and KV/D1 for state. Global low-latency access.
Expose camera, GPS, screen recording, and push notifications via mobile gateway for on-the-go access.
/status, /new, /compact, /model, /usage — parsed before LLM processing for instant system control.
Push interactive HTML/JS widgets, charts, tables, and forms via WebSocket. Agent-to-UI rendering.
Log model, tokens, cost, and latency per call. Exposed via /usage command for full cost transparency.
Real-time typing status while the LLM processes. Visual feedback that the agent is working on your request.
Six principles that drove every architectural decision.
Every component written from scratch — LLM integration, memory, tools, messaging. No black boxes. When something breaks, you know exactly where and why.
Each integration runs as a separate MCP server process with explicit config. No arbitrary code execution, no marketplace trust issues, no supply chain risk.
Communication via secure messaging bot with user ID whitelisting. No web server, no exposed ports, no public endpoints. The agent is unreachable from the outside.
Primary provider on flat-rate unlimited plan. Local model fallback for zero cost. No per-token billing, no surprise costs, no fear of leaving the heartbeat running.
The AI co-pilot that builds the system IS the system. The development environment doubles as the demonstration platform. The build process itself is the content.
All memory, conversations, and config stored locally. API keys encrypted. No telemetry, no cloud logging, no third-party analytics. Total offline capability.
We built this for ourselves. Now we build it for you. Same architecture, tailored to your business context, your tools, your workflows.