Systems

Personal Agent Infrastructure

A persistent agentic layer that follows an operator across contexts, remembers past work, calls tools with permissions, and executes multi-step workflows autonomously - multiplying individual capability.

System Architecture Flow

Compact, event-driven flow. Each step is horizontally scalable and instrumented for failure recovery.

Input Process Route Act Output Log

Problem

Operators are bottlenecked by context switching and execution overhead. Moving between email, CRM, documents, and messaging platforms takes 40% of the day. Traditional automation (Zapier, Make) is brittle, stateless, and breaks on edge cases. It cannot handle judgment or context.

Without a personal agent layer, the only way to scale an operator's output is to hire an assistant, which introduces management overhead and communication delays.

Architecture

A stateful, multi-turn architecture built around a core reasoning loop (ReAct/Plan-and-Solve). The agent maintains persistent memory across sessions and connects to a secure tool registry. Permissions are handled via human-in-the-loop approval gates for destructive actions.

Input Interface

Accepts voice, text, or webhook triggers. Normalizes intent and extracts entities before passing to the core loop.

Ingestion

Context Retriever

Queries vector databases (Pinecone/Milvus) and structured stores (SQLite/Postgres) to load relevant history and preferences.

Memory

Goal Decomposer

Breaks complex intents into sequential sub-tasks. Evaluates dependencies and required tools for each step.

Planning

Tool Registry

Secure catalog of available actions (API calls, browser automation, file I/O). Manages authentication and rate limits.

Execution

Approval Gate

Intercepts high-risk actions (e.g., sending emails, deleting records, moving money) and requests human authorization via Slack/SMS.

Security

State Manager

Persists the current progress of long-running workflows. Allows the agent to pause, wait for events, and resume without losing context.

State