01-ago: [lab] repositorio laboratorio con estructura y config de produccion (vacio)
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minguezsanzjuanjose
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config/CLAUDE.md
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config/CLAUDE.md
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## Engram — Persistent Memory
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You have Engram memory tools via MCP. **Use them proactively** — do not wait to be asked.
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### Session Start
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- ALWAYS call `engram_briefing` at the start of every session to load context from past sessions.
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### What to Remember (call `engram_remember` immediately)
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Store ANY of these the moment you encounter them — do not batch, do not wait:
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**From the user:**
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- Preferences, opinions, personal facts, decisions, corrections
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- "I prefer X", "we decided Y", "actually it's Z"
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**From your own work:**
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- When you read a file and synthesize useful knowledge (style guides, architecture patterns, workflow rules) — store the synthesis
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- When you figure out HOW the user works (communication style, review habits, tool preferences) — store the observation
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- When you discover project conventions, naming patterns, or implicit rules — store them
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- When you build something and learn what works vs what doesn't — store the lesson
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**The rule:** If this knowledge would be useful in a future session, store it NOW. Don't assume you'll remember — you won't.
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### Team Vault
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- When connected to a hosted vault, memories are shared with your team by default
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- Use `engram_private_session` if the user wants a confidential session (nothing leaves the local machine)
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- Use `engram_invite` to add a teammate when asked ("add Brian to engram", "invite tyler@company.com")
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- Recall always searches both local + shared vaults, so you see everything
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### Asking Questions
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- When you need to ANSWER a question from memory: call `engram_ask` — it returns a synthesized answer with confidence, not raw memories
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- When you need raw memory objects for processing: call `engram_recall`
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- Prefer `engram_ask` for user-facing answers, `engram_recall` for your own analysis
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### Alerts
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- Periodically call `engram_alerts` to check for pending commitments, stale follow-ups, and contradictions
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- Alerts are included in `engram_briefing` automatically, but call separately if you need a quick check
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### Auditing External Memory
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- If you maintain a CLAUDE.md, MEMORY.md, or similar file: periodically call `engram_audit` with its contents
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- It will flag any claims that are outdated or contradicted by newer vault data
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### Before Compacting / Session End
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- Before context compaction or ending a session, call `engram_checkpoint` with a summary of:
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- Decisions made and their reasoning
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- Facts learned or corrected (especially things that changed from what you previously knew)
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- Commitments and next steps
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- Current project state
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- This extracts durable memories from your context window before it is lost
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- Your context window is the most accurate source of truth you have — and the most volatile. Save it.
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111
config/opencode.jsonc
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config/opencode.jsonc
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{
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"$schema": "https://opencode.ai/config.json",
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"disabled_providers": [
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],
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"mcp": {
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"engram": {
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"command": [
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"C:\\Users\\juanm\\bin\\engram.exe",
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"mcp",
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"--tools=agent"
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],
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"enabled": true,
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"type": "local"
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},
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"image-vision": {
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"type": "local",
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"command": [
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"node",
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"C:\\Users\\juanm\\Documents\\GitHub\\image-vision-mcp\\dist\\index.js"
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],
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"enabled": true,
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"environment": {
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"IMAGE_VISION_AUTH_TOKEN": "{env:IMAGE_VISION_AUTH_TOKEN}",
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"IMAGE_VISION_BASE_URL": "https://openrouter.ai/api/v1",
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"IMAGE_VISION_MODEL": "google/gemini-2.5-flash",
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"VISION_API_PROVIDER": "openai"
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}
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},
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"context7": {
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"type": "remote",
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"url": "https://mcp.context7.com/mcp",
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"enabled": true,
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"headers": {
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"CONTEXT7_API_KEY": "{env:CONTEXT7_API_KEY}"
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}
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},
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"fetch": {
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"type": "local",
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"command": [
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"npx",
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"-y",
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"@h16rkim/mcp-fetch-server"
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],
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"enabled": true
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},
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"sequential-thinking": {
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"type": "local",
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"command": [
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"npx",
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"-y",
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"@modelcontextprotocol/server-sequential-thinking"
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],
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"enabled": true
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},
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"duckduckgo-search": {
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"type": "local",
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"command": [
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"C:\\Users\\juanm\\.bun\\bin\\bunx.exe",
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"duckduckgo-mcp"
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],
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"enabled": true
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},
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"obsidian": {
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"type": "local",
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"command": [
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"C:\\Users\\juanm\\.local\\bin\\uvx.exe",
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"mcp-obsidian"
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],
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"enabled": true,
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"environment": {
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"OBSIDIAN_API_KEY": "{env:OBSIDIAN_API_KEY}",
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"OBSIDIAN_HOST": "127.0.0.1",
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"OBSIDIAN_PORT": "27124"
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}
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},
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"telegram": {
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"type": "local",
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"command": [
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"npx",
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"-y",
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"mcp-telegram"
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],
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"enabled": true,
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"cwd": "C:\\Users\\juanm",
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"environment": {
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"TELEGRAM_API_ID": "{env:TELEGRAM_API_ID}",
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"TELEGRAM_API_HASH": "{env:TELEGRAM_API_HASH}",
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"TELEGRAM_AGENT_HOME": ".telegram-agent",
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"MCP_TELEGRAM_TOOLS": "login,list_accounts,list_dialogs,search_dialogs,list_messages,search_messages,search_global,get_message,send_message,edit_message,delete_messages,forward_messages,send_reaction,get_message_reactions,send_file,download_media,list_contacts,search_contacts,get_me,transcribe_message,get_inline_bot_results,mark_as_read,send_poll,vote_poll,get_poll_results"
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}
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}
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},
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"provider": {
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"ollama": {
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"name": "Ollama",
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"npm": "@ai-sdk/openai-compatible",
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"models": {
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"gemma4": {
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"name": "Gemma 4 Local"
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},
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"deepseek-coder-v2:16b": {
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"name": "DeepSeek Coder Local"
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}
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},
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"options": {
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"baseURL": "http://localhost:11434/v1"
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}
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}
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}
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}
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