diff --git a/scripts/knowledge_base.py b/scripts/knowledge_base.py
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+++ b/scripts/knowledge_base.py
@@ -0,0 +1,341 @@
+#!/usr/bin/env python3
+"""knowledge_base.py - GOFAI symbolic knowledge base for the Timmy Foundation fleet.
+
+A classical AI knowledge representation system: stores facts as ground atoms,
+supports first-order-logic-style queries, and maintains a provenance chain so
+every belief can be traced back to its source.  No neural nets, no embeddings -
+just structured symbolic reasoning over a typed fact store.
+
+Usage:
+    kb = KnowledgeBase()
+    kb.assert_fact('agent', 'online', 'timmy')
+    kb.assert_fact('task', 'assigned_to', 'task-42', 'timmy')
+    results = kb.query('task', 'assigned_to', '?x', 'timmy')
+    # results -> [{'?x': 'task-42'}]
+
+CLI:
+    python knowledge_base.py --assert "agent online hermes"
+    python knowledge_base.py --query  "agent online ?who"
+    python knowledge_base.py --dump
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import sys
+import time
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Dict, Iterator, List, Optional, Tuple
+
+# ---------------------------------------------------------------------------
+# Data model
+# ---------------------------------------------------------------------------
+
+VAR_PREFIX = "?"
+
+
+def is_var(term: str) -> bool:
+    """Return True if *term* is a logic variable (starts with '?')."""
+    return term.startswith(VAR_PREFIX)
+
+
+@dataclass(frozen=True)
+class Fact:
+    """An immutable ground atom: (relation, *args)."""
+
+    relation: str
+    args: Tuple[str, ...]
+    source: str = "user"
+    timestamp: float = field(default_factory=time.time)
+
+    def __str__(self) -> str:
+        args_str = " ".join(self.args)
+        return f"({self.relation} {args_str})"
+
+
+Bindings = Dict[str, str]
+
+
+# ---------------------------------------------------------------------------
+# Unification
+# ---------------------------------------------------------------------------
+
+
+def unify_term(pattern: str, value: str, bindings: Bindings) -> Optional[Bindings]:
+    """Unify a single pattern term against a ground value.
+
+    Returns updated bindings on success, or None on failure.
+    """
+    if is_var(pattern):
+        if pattern in bindings:
+            return bindings if bindings[pattern] == value else None
+        return {**bindings, pattern: value}
+    return bindings if pattern == value else None
+
+
+def unify_fact(
+    pattern: Tuple[str, ...], fact_args: Tuple[str, ...], bindings: Bindings
+) -> Optional[Bindings]:
+    """Unify a full argument tuple, returning final bindings or None."""
+    if len(pattern) != len(fact_args):
+        return None
+    b = bindings
+    for p, v in zip(pattern, fact_args):
+        b = unify_term(p, v, b)
+        if b is None:
+            return None
+    return b
+
+
+# ---------------------------------------------------------------------------
+# Knowledge Base
+# ---------------------------------------------------------------------------
+
+
+class KnowledgeBase:
+    """In-memory symbolic knowledge base with optional JSON persistence."""
+
+    def __init__(self, persist_path: Optional[Path] = None) -> None:
+        self._facts: List[Fact] = []
+        self._persist_path = persist_path
+        if persist_path and persist_path.exists():
+            self._load(persist_path)
+
+    # ------------------------------------------------------------------
+    # Fact management
+    # ------------------------------------------------------------------
+
+    def assert_fact(
+        self, relation: str, *args: str, source: str = "user"
+    ) -> Fact:
+        """Add a ground fact to the knowledge base.
+
+        Idempotent: duplicate (relation, args) pairs are not added twice.
+        """
+        f = Fact(relation=relation, args=tuple(args), source=source, timestamp=time.time())
+        for existing in self._facts:
+            if existing.relation == f.relation and existing.args == f.args:
+                return existing  # already known
+        self._facts.append(f)
+        if self._persist_path:
+            self._save(self._persist_path)
+        return f
+
+    def retract_fact(self, relation: str, *args: str) -> int:
+        """Remove all facts matching (relation, *args). Returns count removed."""
+        before = len(self._facts)
+        self._facts = [
+            f
+            for f in self._facts
+            if not (f.relation == relation and f.args == tuple(args))
+        ]
+        removed = before - len(self._facts)
+        if removed and self._persist_path:
+            self._save(self._persist_path)
+        return removed
+
+    # ------------------------------------------------------------------
+    # Query
+    # ------------------------------------------------------------------
+
+    def query(
+        self, relation: str, *pattern_args: str, source_filter: Optional[str] = None
+    ) -> List[Bindings]:
+        """Return all binding dictionaries satisfying the query pattern.
+
+        Variables in *pattern_args* start with '?'. Ground terms must match
+        exactly.  An empty binding dict means the fact matched with no
+        variables to bind.
+
+        Args:
+            relation:       The relation name to match.
+            *pattern_args:  Mixed ground/variable argument tuple.
+            source_filter:  Optional provenance filter (e.g. 'scheduler').
+
+        Returns:
+            List of binding dicts, one per matching fact.
+        """
+        results: List[Bindings] = []
+        for fact in self._facts:
+            if fact.relation != relation:
+                continue
+            if source_filter and fact.source != source_filter:
+                continue
+            b = unify_fact(tuple(pattern_args), fact.args, {})
+            if b is not None:
+                results.append(b)
+        return results
+
+    def query_one(
+        self, relation: str, *pattern_args: str
+    ) -> Optional[Bindings]:
+        """Return the first matching binding dict or None."""
+        for b in self.query(relation, *pattern_args):
+            return b
+        return None
+
+    def facts_for(self, relation: str) -> Iterator[Fact]:
+        """Iterate over all facts with the given relation."""
+        for f in self._facts:
+            if f.relation == relation:
+                yield f
+
+    # ------------------------------------------------------------------
+    # Bulk operations
+    # ------------------------------------------------------------------
+
+    def all_facts(self) -> List[Fact]:
+        """Return a snapshot of all stored facts."""
+        return list(self._facts)
+
+    def fact_count(self) -> int:
+        return len(self._facts)
+
+    def clear(self) -> None:
+        """Remove all facts from memory (does not touch disk)."""
+        self._facts.clear()
+
+    # ------------------------------------------------------------------
+    # Persistence
+    # ------------------------------------------------------------------
+
+    def _save(self, path: Path) -> None:
+        records = [
+            {
+                "relation": f.relation,
+                "args": list(f.args),
+                "source": f.source,
+                "timestamp": f.timestamp,
+            }
+            for f in self._facts
+        ]
+        path.write_text(json.dumps(records, indent=2))
+
+    def _load(self, path: Path) -> None:
+        try:
+            records = json.loads(path.read_text())
+            for r in records:
+                self._facts.append(
+                    Fact(
+                        relation=r["relation"],
+                        args=tuple(r["args"]),
+                        source=r.get("source", "persisted"),
+                        timestamp=r.get("timestamp", 0.0),
+                    )
+                )
+        except (json.JSONDecodeError, KeyError) as exc:
+            print(f"[kb] Warning: could not load {path}: {exc}", file=sys.stderr)
+
+    def save_to(self, path: Path) -> None:
+        """Explicitly save to a given path."""
+        self._save(path)
+
+    # ------------------------------------------------------------------
+    # Debug / display
+    # ------------------------------------------------------------------
+
+    def dump(self, relation_filter: Optional[str] = None) -> None:
+        """Print all (or filtered) facts to stdout."""
+        for f in self._facts:
+            if relation_filter and f.relation != relation_filter:
+                continue
+            print(f"  {f}  [source={f.source}]")
+
+
+# ---------------------------------------------------------------------------
+# CLI
+# ---------------------------------------------------------------------------
+
+
+def _parse_terms(raw: str) -> List[str]:
+    """Split a whitespace-separated string into terms."""
+    return raw.strip().split()
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="GOFAI symbolic knowledge base CLI"
+    )
+    parser.add_argument(
+        "--db",
+        default="kb.json",
+        help="Path to persistent JSON store (default: kb.json)",
+    )
+    parser.add_argument(
+        "--assert",
+        dest="assert_stmt",
+        metavar="RELATION ARG...",
+        help='Assert a fact, e.g. --assert "agent online timmy"',
+    )
+    parser.add_argument(
+        "--retract",
+        dest="retract_stmt",
+        metavar="RELATION ARG...",
+        help='Retract a fact, e.g. --retract "agent online timmy"',
+    )
+    parser.add_argument(
+        "--query",
+        dest="query_stmt",
+        metavar="RELATION ARG...",
+        help='Query the KB, e.g. --query "agent online ?who"',
+    )
+    parser.add_argument(
+        "--dump",
+        action="store_true",
+        help="Dump all facts",
+    )
+    parser.add_argument(
+        "--relation",
+        help="Filter --dump to a specific relation",
+    )
+    args = parser.parse_args()
+
+    db_path = Path(args.db)
+    kb = KnowledgeBase(persist_path=db_path)
+
+    if args.assert_stmt:
+        terms = _parse_terms(args.assert_stmt)
+        if len(terms) < 2:
+            print("ERROR: --assert requires at least RELATION and one ARG", file=sys.stderr)
+            sys.exit(1)
+        fact = kb.assert_fact(terms[0], *terms[1:], source="cli")
+        print(f"Asserted: {fact}")
+
+    if args.retract_stmt:
+        terms = _parse_terms(args.retract_stmt)
+        if len(terms) < 2:
+            print("ERROR: --retract requires at least RELATION and one ARG", file=sys.stderr)
+            sys.exit(1)
+        n = kb.retract_fact(terms[0], *terms[1:])
+        print(f"Retracted {n} fact(s).")
+
+    if args.query_stmt:
+        terms = _parse_terms(args.query_stmt)
+        if len(terms) < 2:
+            print("ERROR: --query requires at least RELATION and one ARG", file=sys.stderr)
+            sys.exit(1)
+        results = kb.query(terms[0], *terms[1:])
+        if not results:
+            print("No results.")
+        else:
+            for i, b in enumerate(results, 1):
+                if b:
+                    bindings_str = ", ".join(f"{k}={v}" for k, v in b.items())
+                    print(f"  [{i}] {bindings_str}")
+                else:
+                    print(f"  [{i}] (ground match)")
+
+    if args.dump:
+        count = kb.fact_count()
+        print(f"Knowledge Base — {count} fact(s):")
+        kb.dump(relation_filter=args.relation)
+
+    if not any([args.assert_stmt, args.retract_stmt, args.query_stmt, args.dump]):
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()
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