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Possui sessoes persistentes, memoria de longo prazo, execucao de ferramentas autonoma e orquestracao paralela de subagentes.\n\n```\n┌──────────────────────────────────────────────────┐\n│ julia> crie um servidor REST com 3 endpoints │\n│ │\n│ 🔀 Tarefa complexa — spawnando 3 subagentes... │\n│ → Subagente: endpoint GET /users │\n│ → Subagente: endpoint POST /users │\n│ → Subagente: endpoint DELETE /users/:id │\n│ ✅ 3 completados, nenhuma falha │\n└──────────────────────────────────────────────────┘\n```\n\n## Requisitos\n\n- **Node.js** >= 18\n- **Ollama** rodando localmente (`http://localhost:11434`)\n\n## Instalacao\n\n```bash\nnpm i -g juliacode\n```\n\n## Uso\n\n### TUI (modo interativo)\n\n```bash\njuju # iniciar chat\njuju --session # retomar sessao existente\n```\n\n### Gateway HTTP\n\n```bash\njuju --gateway # padrao: 127.0.0.1:18800\njuju --gateway --host 0.0.0.0 --port 3000 # host/porta customizados\n```\n\n**Endpoints:**\n\n| Metodo | Rota | Descricao |\n| ------ | ------------------------ | ------------------------ |\n| `GET` | `/health` | Health check |\n| `GET` | `/sessions` | Listar sessoes |\n| `POST` | `/sessions` | Criar sessao |\n| `GET` | `/sessions/:id` | Detalhes da sessao |\n| `GET` | `/sessions/:id/messages` | Mensagens da sessao |\n| `POST` | `/chat` | Chat (resposta completa) |\n| `POST` | `/chat/stream` | Chat (SSE streaming) |\n\nOs eventos de chat podem incluir `clear_streaming` quando uma resposta provisĂłria\ndo modelo precisa ser descartada e `warning` quando a Julia nĂŁo consegue recuperar\numa ação prometida. Os dois eventos sĂŁo aditivos; `thinking`, `chunk`, eventos de\nferramenta, `done` e `error` mantĂȘm seus payloads atuais.\n\n## Ferramentas\n\nA Julia tem acesso a 10 ferramentas que executa autonomamente:\n\n| Ferramenta | Descricao |\n| ---------- | ---------------------------------------- |\n| `exec` | Executar comandos shell (git, npm, etc.) |\n| `read` | Ler arquivos com numeros de linha |\n| `write` | Criar/sobrescrever arquivos |\n| `edit` | Substituir trechos de texto em arquivos |\n| `glob` | Buscar arquivos por padrao glob |\n| `grep` | Buscar conteudo com regex |\n| `fetch` | Acessar URLs, APIs e paginas web |\n| `memory` | Memorias persistentes entre sessoes |\n| `sessions` | Gerenciar sessoes salvas |\n| `subagent` | Orquestrar subagentes paralelos |\n\n## Subagentes (ACP)\n\nQuando habilitado, a Julia detecta automaticamente tarefas complexas e paralelizaveis, spawnando subagentes independentes com sessoes proprias. Cada subagente pode usar um modelo diferente.\n\n```\nOrchestration Run (run_id)\n├── SubagentRun 1 — web scraper [gpt-oss:120b-cloud] completed 2.3s\n├── SubagentRun 2 — csv processor [qwen3:8b] completed 1.8s\n└── SubagentRun 3 — api server [qwen3.5:397b-cloud] completed 3.1s\n```\n\nTodas as runs sao persistidas no SQLite com status lifecycle (`queued` → `running` → `completed`/`failed`), timestamps e duracao.\n\n## Model Context Protocol (MCP)\n\nPara conectar um novo servidor de mcp basta editar `~/.juliacode/settings.json` e adicionar a sessĂŁo `mcpServers`:\n\n```json\n{\n \"mcpServers\": {\n \"filesystem\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"@modelcontextprotocol/server-filesystem\",\n \"/home/usuario\"\n ],\n \"env\": {}\n }\n }\n}\n```\n\nCada entrada em mcpServers Ă© um servidor MCP com:\n\n| Campo | Obrigatorio | Descricao |\n| --------- | ----------- | -------------------------------------------- |\n| `command` | sim | Comando para iniciar o servidor |\n| `args` | nao | Array de argumentos (default: `[]`) |\n| `env` | nao | Variaveis de ambiente extras para o processo |\n\nExemplo com mĂșltiplos servidores:\n\n```json\n{\n \"models\": { \"default\": \"qwen3:8b\" },\n \"mcpServers\": {\n \"filesystem\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@modelcontextprotocol/server-filesystem\", \"/home/usuario\"]\n },\n \"github\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@modelcontextprotocol/server-github\"],\n \"env\": { \"GITHUB_TOKEN\": \"ghp_seutoken\" }\n },\n \"sqlite\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@modelcontextprotocol/server-sqlite\", \"/caminho/banco.db\"]\n }\n }\n}\n```\n\nAo iniciar o Julia Code, ela conecta a cada servidor e registra as tools automaticamente. O agente verĂĄ tools com nomes como `mcp__filesystem__read_file`,\n`mcp__github__create_issue`, etc. E pode usĂĄ-las normalmente durante a conversa, se quiser remover um servidor, basta apagar a entrada e reiniciar.\n\n## Configuração\n\n### Settings file (`~/.juliacode/settings.json`)\n\n```json\n{\n \"models\": {\n \"provider\": \"ollama\",\n \"baseUrl\": \"http://localhost:11434\",\n \"default\": \"qwen3:8b\"\n },\n \"agent\": {\n \"maxToolIterations\": 10\n },\n \"session\": {\n \"compactionThreshold\": 6000,\n \"compactionKeepRecent\": 6\n },\n \"storage\": {\n \"dbPath\": \"./data/julia.db\"\n },\n \"acp\": {\n \"enabled\": false,\n \"autoOrchestrate\": false,\n \"maxConcurrent\": 3,\n \"subagentMaxIterations\": 15,\n \"defaultModel\": null\n },\n \"memory\": {\n \"semantic\": {\n \"enabled\": false,\n \"provider\": \"ollama\",\n \"embeddingModel\": \"nomic-embed-text\",\n \"rankingWeights\": { \"similarity\": 0.6, \"importance\": 0.3, \"recency\": 0.1 },\n \"recencyHalflifeDays\": 30,\n \"maxMemories\": 5,\n \"availabilityCheckTtlMs\": 30000,\n \"autoBackfillOnStart\": false\n }\n },\n \"security\": {\n \"allowRules\": [],\n \"rateLimits\": {\n \"enabled\": true,\n \"perTool\": {\n \"exec\": { \"perMinute\": 20, \"perSession\": 200 }\n }\n }\n }\n}\n```\n\n### Limites de uso das ferramentas\n\nToda chamada de ferramenta passa por um orçamento por sessĂŁo antes de executar. O objetivo Ă© conter um loop desgovernado — nĂŁo racionar uso normal —, entĂŁo os padrĂ”es sĂŁo propositalmente folgados:\n\n| Ferramenta | Por minuto | Por sessĂŁo |\n|---|---|---|\n| `exec` | 20 | 200 |\n| `fetch` | 30 | 300 |\n| `subagent` | 5 | 40 |\n| demais | 60 | 600 |\n\nSobrescreva qualquer um deles em `security.rateLimits.perTool`, ou coloque `security.rateLimits.enabled` como `false` para desligar a verificação.\n\nQuando uma ferramenta estoura o orçamento, a chamada Ă© recusada e o motivo volta para o modelo como observação de ferramenta — ele pode esperar, mudar de abordagem ou responder com o que jĂĄ coletou. O orçamento Ă© independente da aprovação: aprovar uma ferramenta, mesmo com \"aprovar tudo\", dispensa o prompt, nĂŁo a cota. A blocklist de comandos Ă© verificada primeiro, entĂŁo um comando bloqueado continua bloqueado independentemente do orçamento restante.\n\nRecusas por cota aparecem no `/stats`, na seção `Security gate`.\n\n### Observabilidade\n\nCada passo de um turno vira uma linha JSON em `~/.juliacode/logs/events.jsonl`. Eventos do mesmo turno compartilham um `turnId`, entĂŁo dois turnos da mesma sessĂŁo continuam separĂĄveis:\n\n| Evento | Registra |\n|---|---|\n| `llm_call` | modelo, passe (`main` / `synthesis` / `correction`), duração, tokens de entrada/saĂ­da, quantidade de tool calls |\n| `tool_call` | nome da ferramenta, sucesso, duração |\n| `gate_decision` | nome da ferramenta, desfecho e qual regra decidiu |\n| `compaction` | tipo (`auto` / `emergency`), mensagens compactadas, tokens antes/depois |\n| `memory_retrieval` | candidatos, retornados, melhor score, disponibilidade do provider |\n| `retry` | tipo (`stream`, `empty`, `deterministic`, `tool-correction`, `intent-nudge`) |\n| `diagnostics` | resultado e duração da checagem do projeto |\n| `planner_decision`, `subagent_spawn`, `subagent_done` | ciclo de vida da orquestração |\n| `loop_end` | nĂșmero de iteraçÔes e por que o turno terminou |\n\nUse `/stats` para ver isso agregado. Defina `JULIA_DEBUG=1` para espelhar cada evento no stderr, ou `JULIA_LOG_DIR` para gravar em outro lugar. O log Ă© fire-and-forget e nunca afeta o fluxo de controle.\n\n### Skills customizadas (`~/.juliacode/skills/`)\n\nColoque suas prĂłprias skills em `~/.juliacode/skills/` para estender a Julia. Elas sĂŁo carregadas em toda sessĂŁo, globalmente — nĂŁo precisa duplicar por projeto.\n\nO layout segue o mesmo padrĂŁo do Claude Code: um diretĂłrio por skill, com um arquivo `SKILL.md` dentro.\n\n```\n~/.juliacode/skills/\n├── review-pr/\n│ └── SKILL.md\n└── deploy-checklist/\n └── SKILL.md\n```\n\nCada `SKILL.md` Ă© um documento Markdown com frontmatter YAML opcional:\n\n```markdown\n---\nname: review-pr\ndescription: Revisar um pull request contra as convençÔes do time\nwhen_to_use: Quando o usuĂĄrio pedir \"revisar PR\" ou colar um diff\nargument_hint: \nuser_invocable: true\nexpects_tools: true\n---\n\nO corpo do prompt da skill vai aqui. Use $ARGUMENTS para injetar o argumento informado pelo usuĂĄrio.\n```\n\nComportamento:\n- O nome da skill vem do `name` do frontmatter; se ausente, Ă© o nome do diretĂłrio.\n- Skills com `user_invocable: true` aparecem como slash commands (ex.: `/review-pr`).\n- `expects_tools` usa `true` por padrĂŁo; skills somente de diĂĄlogo podem defini-lo como `false` para desativar a recuperação de intenção sem ação em seus turnos.\n- Todas as skills customizadas entram no system prompt numa seção `User-Defined Skills (LOWER TRUST)` — elas nĂŁo conseguem sobrescrever instruçÔes do sistema.\n- Em caso de colisĂŁo de `name` com uma default embutida, a default ganha.\n- Cada `SKILL.md` Ă© limitado a 50 KB e passa por scan de padrĂ”es de prompt injection antes de ser carregado; arquivos rejeitados sĂŁo logados e ignorados.\n- SubdiretĂłrios sem `SKILL.md` sĂŁo ignorados e logados.\n\n### Hooks (`~/.juliacode/settings.json`)\n\nConfigure comandos shell que disparam em pontos especĂ­ficos do agent loop. O schema espelha o sistema de hooks do Claude Code 1:1.\n\n> ⚠ Hooks rodam comandos shell arbitrĂĄrios com as permissĂ”es do seu usuĂĄrio a cada evento que casar. Audite qualquer hook antes de adicionar. A Julia nĂŁo faz sandbox.\n\n```json\n{\n \"hooks\": {\n \"PreToolUse\": [\n {\n \"matcher\": \"exec\",\n \"hooks\": [\n { \"type\": \"command\", \"command\": \"audit-shell.sh\", \"timeout\": 5000 }\n ]\n }\n ],\n \"UserPromptSubmit\": [\n { \"hooks\": [{ \"command\": \"echo 'Lembrete: revisar segurança'\" }] }\n ]\n }\n}\n```\n\nEventos suportados: `PreToolUse`, `PostToolUse`, `UserPromptSubmit`, `Stop`, `SubagentStop`, `SessionStart`, `Notification`, `PreCompact`.\n\nCada hook recebe um payload JSON via stdin (`session_id`, `cwd`, `hook_event_name`, alĂ©m de campos especĂ­ficos por evento como `tool_name`, `tool_input`, `prompt`, `source`, etc.). Controle a Julia via:\n\n- **Exit code 0** — sucesso. Se o stdout for JSON `{ \"decision\": \"block\" | \"approve\", \"reason\": \"...\", \"hookSpecificOutput\": { \"additionalContext\": \"...\" } }`, a Julia respeita. Para `UserPromptSubmit`, `SessionStart` e `PreCompact`, stdout cru tambĂ©m Ă© aceito e injetado como contexto adicional.\n- **Exit code 2** — erro bloqueante. `stderr` vira a razĂŁo do block e Ă© exposta ao agent.\n- **Outros nĂŁo-zero** — erro nĂŁo bloqueante. Logado no canal MCP; o agent continua.\n\nO campo `matcher` Ă© uma regex testada contra o nome da tool em `PreToolUse` / `PostToolUse`. Omita (ou use `*`) para casar com tudo. Em eventos que nĂŁo sĂŁo de tool, o campo nĂŁo tem efeito.\n\nAnti-loop: quando um hook de `Stop` ou `SubagentStop` retorna `decision: \"block\"`, a Julia re-entra no loop uma vez e dispara o hook de novo com `stop_hook_active: true`. O hook deve respeitar essa flag na segunda chamada.\n\nO ambiente da Julia expĂ”e `JULIA_HOOK=1` e `JULIA_HOOK_EVENT=` para todo processo de hook — Ăștil para detectar recursĂŁo ou ramificar lĂłgica. Timeout padrĂŁo por comando Ă© 60s, customizĂĄvel via campo `timeout` (em ms). `~/.juliacode/settings.json` Ă© read-only para as tools da Julia, entĂŁo o bloco `hooks` deve ser editado Ă  mĂŁo — mesmo workflow usado para `mcpServers`.\n\n### MemĂłria semĂąntica (opcional)\n\nCom `memory.semantic.enabled: false` (default), a Julia injeta as 30 memĂłrias mais recentes no system prompt — mesmo comportamento de antes.\n\nCom `memory.semantic.enabled: true`, a Julia usa embeddings (via Ollama `nomic-embed-text`) para ranquear memĂłrias por relevĂąncia Ă  entrada atual. Fluxo:\n\n1. Baixe o modelo de embedding: `ollama pull nomic-embed-text`.\n2. Flipe `memory.semantic.enabled` para `true` em `~/.juliacode/settings.json`.\n3. Rode `juju memory backfill` para popular embeddings das memĂłrias jĂĄ existentes.\n4. Se quiser que boots subsequentes retomem o backfill automaticamente, habilite `memory.semantic.autoBackfillOnStart: true`.\n\nSe o provider de embedding ficar indisponĂ­vel a qualquer momento (Ollama offline, modelo faltando, erro de rede), a Julia degrada transparentemente para a injeção legada de memĂłrias recentes — a aplicação nunca quebra por falta de embedding.\n\n### InteligĂȘncia de repositĂłrio (local)\n\nA Julia pode construir um Ă­ndice semĂąntico local do seu projeto para que cĂłdigo relevante seja injetado automaticamente no contexto da LLM — equivalente offline da feature \"repo-aware\" do Cursor, alimentado pelo mesmo `nomic-embed-text` do Ollama usado nas memĂłrias. Nada sai da mĂĄquina. Duas peças:\n\n**Retrieval semĂąntico automĂĄtico.** A cada turn, o prompt do usuĂĄrio Ă© embedado e ranqueado contra os chunks indexados por similaridade cosseno; os top 5 (token-budgeted, com chunks do mesmo arquivo mesclados) sĂŁo injetados como bloco de sistema junto das memĂłrias. Filtrado por gating heurĂ­stico que pula saudaçÔes, meta-perguntas e prompts curtos sem tokens \"code-like\".\n\n**MençÔes `@filename`.** Referencie qualquer arquivo digitando `@` na mensagem — o conteĂșdo Ă© expandido inline antes do prompt ser enviado. Use Tab no dropdown fuzzy que aparece ao digitar `@`. Se o caminho nĂŁo existir, fuzzy-match contra o Ă­ndice salva typos (ex.: `@app.tsx` → `src/tui/app.tsx`). MençÔes dentro de blocos de cĂłdigo (fenced ou inline) sĂŁo ignoradas, paths absolutos e `../` sĂŁo rejeitados, arquivos >50 KB sĂŁo truncados, e binĂĄrios recusados.\n\n**Fluxo de indexação:**\n\n1. Baixe o modelo de embedding: `ollama pull nomic-embed-text`.\n2. No primeiro start, o auto-indexer constrĂłi o Ă­ndice em background a partir de `git ls-files` (respeita `.gitignore`, ignora binĂĄrios e arquivos >1 MB, com cap de 5 000 arquivos).\n3. Use `/index` para re-indexar incremental, `/index force` para rebuild completo, `/index status` para inspecionar metadados, `/index abort` para cancelar uma execução em andamento.\n\n**Armazenamento.** Chunks (80 linhas com 20 de overlap) vivem na tabela `code_chunks` com hashes de conteĂșdo/arquivo para re-index incremental rĂĄpido — arquivos nĂŁo modificados pulam o chunking, e chunks cujo conteĂșdo nĂŁo mudou preservam seus embeddings existentes.\n\n**Degradação.** Se o Ollama estiver fora na hora de indexar, chunks sĂŁo inseridos sem embeddings e o prĂłximo `/index` retoma daĂ­. Se estiver fora no momento da query, o bloco de retrieval Ă© omitido silenciosamente — mençÔes `@filename` continuam funcionando porque sĂŁo puro I/O de arquivo. Quando o Ă­ndice fica defasado em relação ao `HEAD` atual, uma dica Ășnica Ă© emitida sugerindo um `/index` refresh.\n\n## Arquitetura\n\n```\njuju.ts # Entry point (CLI)\nsrc/\n├── agent/\n│ ├── loop.ts # Agent loop (LLM ↔ tools)\n│ ├── subagent.ts # Subagent manager + orchestracao\n│ ├── queue.ts # Fila de execucao\n│ └── context.ts # Build de contexto + compactacao\n├── config/\n│ ├── index.ts # Carregamento de config\n│ └── workspace.ts # Diretorio de workspace\n├── gateway/\n│ └── server.ts # HTTP REST API\n├── providers/\n│ ├── registry.ts # Registro de providers\n│ └── ollama.ts # Provider Ollama\n├── session/\n│ ├── db.ts # Schema SQLite (7 tabelas)\n│ └── manager.ts # CRUD sessoes, mensagens, memorias, runs\n├── skills/\n│ ├── loader.ts # Loader de skills\n│ └── defaults/ # Skills built-in (base, coder, memory, subagent)\n├── tools/\n│ ├── registry.ts # Registro de ferramentas\n│ ├── exec.ts, read.ts, ... # Implementacoes\n│ └── subagent.ts # Tool de subagentes\n└── tui/\n └── app.tsx # Interface terminal (React + Ink)\n```\n\n### Banco de dados\n\nSQLite com WAL mode. 9 tabelas:\n\n- **sessions** — conversas com titulo, modelo, tokens\n- **messages** — mensagens user/assistant/tool com tool_calls\n- **compactions** — resumos de contexto antigo\n- **memories** — memorias persistentes com categorias\n- **orchestration_runs** — batches de subagentes com status/duracao\n- **subagent_runs** — tasks individuais com lifecycle completo\n- **code_chunks** — chunks de cĂłdigo indexados com embeddings + hashes de conteĂșdo\n- **code_index_meta** — store key/value singleton com metadados do Ă­ndice (HEAD sha, Ășltima execução, modelo)\n\n## Stack\n\n| Camada | Tecnologia |\n| --------- | ----------------------- |\n| Runtime | Node.js (ESM) |\n| Linguagem | TypeScript |\n| UI | React 18 + Ink |\n| Banco | SQLite (better-sqlite3) |\n| LLM | Ollama |\n| Testes | Vitest |\n","readmeFilename":"README.pt-BR.md"}