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# ContextForge v5.0 Nexus — The Omega Persistence Engine
# Production dependencies
#
# Quick install: pip install -r requirements.txt
# Minimum Python: 3.10
# ── Core framework ──────────────────────────────────────────────────────────
agentscope>=1.0.18 # Multi-agent orchestration + AgentBase / Msg
pydantic>=2.0.0 # Signal and node schema validation
python-dotenv>=1.0.0 # .env config loading
# ── File system watching (Sentry Agent) ─────────────────────────────────────
watchdog>=4.0.0 # Cross-platform file system events
# ── Terminal UI (Dashboard + HITL Gate) ─────────────────────────────────────
rich>=14.0.0 # Panels, tables, progress bars
# ── Logging ──────────────────────────────────────────────────────────────────
loguru>=0.7.0 # Structured, coloured logging
# ── Web search (Researcher Agent — tiered, all optional) ─────────────────────
# Tier 1 — Tavily (best quality, recommended): set TAVILY_API_KEY in .env
tavily-python>=0.3.0
# Tier 2 — Serper (Google results): set SERPER_API_KEY in .env
requests>=2.31.0
# Tier 3 — DuckDuckGo (no key needed, always available)
duckduckgo-search>=6.0.0
# ── LLM providers (all optional — rule-based fallback always works) ───────────
ollama>=0.1.7 # Required by AgentScope OllamaChatModel + Nexus tertiary
groq>=0.9.0 # Nexus primary LLM (Groq / Llama-3.3-70B)
google-generativeai>=0.8.0 # Nexus secondary LLM (Gemini 2.5 Flash)
# Gemini Flash: set GEMINI_API_KEY in .env
# Groq Llama: set GROQ_API_KEY in .env
# Ollama server: set OLLAMA_URL in .env (default http://localhost:11434)
# The engine auto-detects which keys are present and picks the best available.
# ── v5.0 Nexus: MCP Python server ───────────────────────────────────────────
mcp>=1.0.0 # MCP Python SDK (Stdio + SSE transport)
starlette>=0.37.0 # SSE HTTP transport (optional, for remote access)
uvicorn>=0.29.0 # ASGI server for SSE mode
# ── v5.0 Nexus: Local-Edge Speculative RAG ───────────────────────────────────
sentence-transformers>=2.7.0 # all-MiniLM-L6-v2 local embeddings (optional)
numpy>=1.26.0 # Vector arithmetic for cosine similarity
# FAISS (optional, faster ANN search — falls back to numpy cosine):
# pip install faiss-cpu (CPU) or faiss-gpu (CUDA)
# ── v5.0 Nexus: Snapshot encryption (optional — falls back to base64) ────────
cryptography>=42.0.0 # AES-256-GCM snapshot encryption
# ── MCP server (TypeScript — run `npm install` inside src/server/) ───────────
# Node.js 18+ required. See src/server/package.json for TS deps.