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**Multi-agent continuity** across independent runs\n\nThe integration is opinionated, minimal, and hackathon-ready.\n\n---\n\n## Why This Exists\n\nCrewAI is excellent at orchestrating agents, but in OSS usage:\n\n- Memory is ephemeral  \n- RAG wiring is ad-hoc  \n- Debugging agent behavior is difficult  \n\nZeroDB provides durable agent state — not just vectors.\n\nThis repo makes ZeroDB feel **native** to CrewAI.\n\n---\n\n## Features (v1)\n\n### ✅ ZeroDB Knowledge Tool (RAG)\n- Stage-aware retrieval (research / outreach / follow-up)\n- Deterministic namespace + filter recipes\n- Citation-friendly results\n\n### ✅ ZeroDB Memory Store\n- Curated long-term memory (not raw chat)\n- Facet-based recall (preferences, objections, next steps)\n- Semantic recall with post-filtering\n\n### ✅ ZeroDB Tracer\n- Run start / end\n- Task summaries\n- Tool-call summaries (no noisy raw logs)\n- Replay-ready artifacts stored in ZeroDB\n\n### ✅ Sales Crew Demo\n- Research → Outreach → Follow-up\n- Memory persists across runs\n- Follow-ups adapt based on past context\n\n---\n\n## Non-Goals (Explicit)\n\n- ❌ CrewAI Cloud\n- ❌ UI / Dashboard\n- ❌ Raw chat persistence by default\n- ❌ CRM sync (future extension)\n\n---\n\n## Architecture Overview"},{"kind":"example","language":"text","snippet":"---\n\n## ZeroDB Namespace Map (Authoritative)\n\n| Purpose | Namespace |\n|------|-----------|\n| Sales Playbooks | `sales_playbooks` |\n| Case Studies | `sales_cases` |\n| Account Notes | `accounts` |\n| Lead Notes | `leads` |\n| Outreach History | `outreach_history` |\n| Runs & Traces | `crew_runs` |\n\n---\n\n## Installation"}]}}