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rafaelmoreiraai/README.md
Rafael Moreira Lima — AI Systems & Autonomous Agents Engineer

I build the infrastructure and intelligence that make autonomous agents reliable, observable, and cost-aware.

🇧🇷 Engenheiro de Sistemas de IA · Agentes Autônomos · Gateways & Observabilidade de LLMs · Planejamento Complexo



Website LinkedIn GitHub Email


⚡ Core Focus & Architecture

Area What I Build & Research
Autonomous Agent Systems Multi-agent coordination, deterministic execution harnesses, tool-calling routing, and self-healing loops (Hermes Agent, OpenCodex, Claude Code).
LLM Gateways & Quota Control Multi-provider unified proxies, local credential bridging, fallbacks, token budgeting, and aggressive caching.
LLM Observabilidade & Telemetry Real-time token telemetry, cache hit ratios, spend ledgers, and quota savings analytics across agent workloads.
Planning & Industrial Systems Schedule analysis for capital projects: Primavera P6 (.xer), Earned Value Management (EVM), and DCMA 14-point health metrics.

🛠️ Featured Open-Source Projects

Visual token telemetry, cache hit rates, and quota savings dashboard for Hermes Agent & DAG-ULW pipelines.

stack

🏗️ PlanSight

Local analysis engine for Primavera P6 .xer enterprise schedules, heuristic container, and EVM/DCMA compliance reporting.

stack

Universal provider proxy for OpenAI Codex & Claude Code — multi-model routing, prompt caching, and quota guard.

stack

Claude Code harness backed by DeepSeek V4 Pro with CLI fallback, DuckDuckGo MCP tooling, and low-cost reasoning orchestration.

stack

Command Code provider plugin for Hermes Agent — credential import, catalog discovery, and token-managed transport.

stack

Guided bootstrap for deploying and onboarding autonomous customer-service agents into production environments.

stack


📐 How I Design Agent Infrastructure

flowchart LR
    Task["🎯 Task Definition"] --> Planner["🧠 DAG Planner & State"]
    Planner --> Agent["🤖 Autonomous Agent"]
    Agent --> Tools["🔧 MCP & Tool Registry"]
    Agent --> Gateway["⚡ LLM Proxy & Router"]
    Gateway --> Frontier["🌐 Frontier Models"]
    Gateway --> Local["💻 Local / Compact Models"]
    Gateway -. "metrics & trace" .-> Telemetry["📈 Telemetry & Cache Hit"]
    Telemetry -. "feedback" .-> Planner
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"Every agent call must be traceable, every token accounted for, and every plan inspectable."


💻 Tech Stack & Tooling

Languages       Python · TypeScript · SQL · Shell / Bash · Go
AI & Agents     Hermes Agent · OpenCodex · Claude Code · MCP (Model Context Protocol) · Function Calling
Architecture    DAG Orchestration · Prompt Caching · LLM Gateways · Token Economics · Telemetry
Infra & Ops     Docker · Linux (Debian/Ubuntu) · Cloudflare · HestiaCP · Tailscale Mesh
Domain Eng      Primavera P6 (.xer parser) · Earned Value Management (EVM) · DCMA 14-Point

Built with precision · Rafael Moreira Lima · São Paulo, Brasil

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