How to Build an AI Agent
How to Build an AI Agent

Trilha de Aprendizado

s01 a s12: Design Progressivo de Agentes

Legenda das Camadas

Tools & Execution
Planning & Coordination
Memory Management
Concurrency
Collaboration
01
s01Single-tool agent loop

The Agent LoopBash is All You Need

84 linhas de codigo1 ferramentas

The minimal agent kernel is a while loop + one tool

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02
s02Tool dispatch map

ToolsOne Handler Per Tool

120 linhas de codigo4 ferramentas

The loop stays the same; new tools register into the dispatch map

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03
s03TodoManager + nag reminder

TodoWritePlan Before You Act

176 linhas de codigo5 ferramentas

An agent without a plan drifts; list the steps first, then execute

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04
s04Subagent spawn with isolated messages[]

SubagentsClean Context Per Subtask

151 linhas de codigo5 ferramentas

Subagents use independent messages[], keeping the main conversation clean

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05
s05SkillLoader + two-layer injection

SkillsLoad on Demand

187 linhas de codigo5 ferramentas

Inject knowledge via tool_result when needed, not upfront in the system prompt

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06
s06micro-compact + auto-compact + archival

CompactThree-Layer Compression

205 linhas de codigo5 ferramentas

Context will fill up; three-layer compression strategy enables infinite sessions

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07
s07TaskManager with file-based state + dependency graph

TasksTask Graph + Dependencies

207 linhas de codigo8 ferramentas

A file-based task graph with ordering, parallelism, and dependencies -- the coordination backbone for multi-agent work

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08
s08BackgroundManager + notification queue

Background TasksBackground Threads + Notifications

198 linhas de codigo6 ferramentas

Run slow operations in the background; the agent keeps thinking ahead

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09
s09TeammateManager + file-based mailbox

Agent TeamsTeammates + Mailboxes

348 linhas de codigo10 ferramentas

When one agent can't finish, delegate to persistent teammates via async mailboxes

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10
s10request_id correlation for two protocols

Team ProtocolsShared Communication Rules

419 linhas de codigo12 ferramentas

One request-response pattern drives all team negotiation

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11
s11Task board polling + timeout-based self-governance

Autonomous AgentsScan Board, Claim Tasks

499 linhas de codigo14 ferramentas

Teammates scan the board and claim tasks themselves; no need for the lead to assign each one

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12
s12Composable worktree lifecycle + event stream over a shared task board

Worktree + Task IsolationIsolate by Directory

694 linhas de codigo16 ferramentas

Each works in its own directory; tasks manage goals, worktrees manage directories, bound by ID

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Crescimento LOC

s01
84
s02
120
s03
176
s04
151
s05
187
s06
205
s07
207
s08
198
s09
348
s10
419
s11
499
s12
694