User --> Claude Code (Gateway + Executor)
              |
         +----+----+
    Bolor Brain   NSAF
      (MCP)       (MCP)
      THINK       EVOLVE

git clone https://github.com/photoxpedia/bolor-brain-mcp.git
cd bolor-brain-mcp
pip install -e .

{
  "mcpServers": {
    "bolor-brain": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/bolor-brain-mcp"
    }
  }
}

/reason Why is Python popular for data science?
/debug API returns 500 errors under load
/decide PostgreSQL or MongoDB for our app?
/learn-from We fixed the memory leak by increasing connection pool

~/.bolor-brain/
  cases.json       # Problem -> solution -> outcome
  facts.json       # Symbolic reasoning facts
  knowledge.json   # Knowledge graph (nodes + edges)

{
  "mcpServers": {
    "bolor-brain": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/bolor-brain-mcp"
    },
    "nsaf": {
      "command": "python3",
      "args": ["nsaf_mcp_server.py"],
      "cwd": "/path/to/nsaf",
      "env": { "PYTHONPATH": "/path/to/nsaf" }
    }
  }
}

pytest tests/ -v
# 376 tests

mcp_server.py                    # MCP server (11 tools)
persistence.py                   # JSON persistence to ~/.bolor-brain/
modules/
  config.py                      # Configuration
  reasoning_engines/
    symbolic_reasoner.py          # Forward/backward chaining
    knowledge_graph.py            # Graph-based knowledge
    case_based_reasoner.py        # 4R cycle (retrieve, reuse, revise, retain)
    hypothesis_engine.py          # Hypothesis generation and testing
    analogical_reasoner.py        # Cross-domain pattern transfer
    hybrid_reasoner.py            # Orchestrates all 5 engines
skills/                          # Claude Code skills
  reason.md, debug.md, decide.md, learn-from.md, nsaf.md, orchestrate.md
tests/                           # 376 tests
AGENT_GUARDRAILS.md              # Production safety guidelines