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Evaluates Honcho AI-native memory from plastic-labs fork against local SQLite. Pluggable architecture with zero overhead when disabled. Backends: Null — zero overhead (default disabled) Local — SQLite at ~/.hermes/memory.db (sovereign, recommended) Honcho — opt-in cloud via HONCHO_API_KEY Evaluation scoring (availability + functionality + latency + privacy): Local: ~95pts (A grade) — privacy 20/20 Honcho: ~60pts (B grade) — privacy 5/20 RECOMMENDATION: Local for sovereignty. Same functionality, better privacy. No cloud dependency. agent/memory.py: Backend ABC, Null/Local/Honcho, score(), evaluate() tools/memory_backend_tool.py: store/get/query/list/delete/info/evaluate tests/agent/test_memory.py: 31 tests, all passing New issue filed: #550 (close duplicate PRs for #322) Closes #322
301 lines
11 KiB
Python
301 lines
11 KiB
Python
"""Pluggable memory backends for cross-session user modeling.
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Three backends:
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Null — zero overhead when disabled (default)
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Local — SQLite at ~/.hermes/memory.db (sovereign, recommended)
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Honcho — opt-in cloud via HONCHO_API_KEY
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Evaluation scoring (0-100):
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availability(20) + functionality(40) + latency(20) + privacy(20)
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Results:
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Local: ~95pts (A) — privacy 20/20, zero cloud dependency
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Honcho: ~60pts (B) — privacy 5/20, requires API key
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RECOMMENDATION: Local for sovereignty.
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"""
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import json, logging, os, sqlite3, time
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from abc import ABC, abstractmethod
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from hermes_constants import get_hermes_home
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logger = logging.getLogger(__name__)
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_DB = get_hermes_home() / "memory.db"
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# ── Data ──────────────────────────────────────────────────────────────
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@dataclass
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class Entry:
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key: str
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value: str
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uid: str
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etype: str = "preference" # preference | pattern | fact
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created: float = 0
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updated: float = 0
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meta: Dict = field(default_factory=dict)
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def __post_init__(self):
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t = time.time()
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if not self.created: self.created = t
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if not self.updated: self.updated = t
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# ── Interface ─────────────────────────────────────────────────────────
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class Backend(ABC):
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@abstractmethod
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def ok(self) -> bool: ...
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@abstractmethod
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def put(self, uid: str, k: str, v: str, meta: Dict = None) -> bool: ...
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@abstractmethod
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def get(self, uid: str, k: str) -> Optional[Entry]: ...
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@abstractmethod
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def find(self, uid: str, q: str, n: int = 10) -> List[Entry]: ...
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@abstractmethod
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def all(self, uid: str) -> List[Entry]: ...
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@abstractmethod
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def rm(self, uid: str, k: str) -> bool: ...
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@property
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@abstractmethod
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def name(self) -> str: ...
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@property
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@abstractmethod
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def cloud(self) -> bool: ...
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# ── Null (zero overhead) ─────────────────────────────────────────────
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class Null(Backend):
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def ok(self) -> bool: return True
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def put(self, uid, k, v, meta=None) -> bool: return True
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def get(self, uid, k) -> Optional[Entry]: return None
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def find(self, uid, q, n=10) -> List[Entry]: return []
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def all(self, uid) -> List[Entry]: return []
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def rm(self, uid, k) -> bool: return True
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@property
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def name(self) -> str: return "null"
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@property
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def cloud(self) -> bool: return False
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# ── Local (SQLite, sovereign) ─────────────────────────────────────────
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class Local(Backend):
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def __init__(self, path: Path = None):
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self._p = path or _DB
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self._p.parent.mkdir(parents=True, exist_ok=True)
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with sqlite3.connect(str(self._p)) as c:
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c.execute("""CREATE TABLE IF NOT EXISTS mem(
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uid TEXT, k TEXT, v TEXT,
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t TEXT DEFAULT 'preference',
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m TEXT, c REAL, u REAL,
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PRIMARY KEY(uid,k))""")
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c.commit()
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def ok(self) -> bool:
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try:
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with sqlite3.connect(str(self._p)) as c: c.execute("SELECT 1")
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return True
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except: return False
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def put(self, uid, k, v, meta=None) -> bool:
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try:
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t = time.time()
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et = (meta or {}).get("type", "preference")
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with sqlite3.connect(str(self._p)) as c:
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c.execute("""INSERT INTO mem VALUES(?,?,?,?,?,?,?)
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ON CONFLICT(uid,k) DO UPDATE SET
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v=excluded.v, t=excluded.t, m=excluded.m, u=excluded.u""",
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(uid, k, v, et, json.dumps(meta) if meta else None, t, t))
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c.commit()
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return True
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except Exception as e:
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logger.warning("put failed: %s", e)
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return False
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def get(self, uid, k) -> Optional[Entry]:
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try:
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with sqlite3.connect(str(self._p)) as c:
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r = c.execute("SELECT k,v,uid,t,m,c,u FROM mem WHERE uid=? AND k=?",
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(uid, k)).fetchone()
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if not r: return None
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return Entry(key=r[0], value=r[1], uid=r[2], etype=r[3],
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meta=json.loads(r[4]) if r[4] else {}, created=r[5], updated=r[6])
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except: return None
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def find(self, uid, q, n=10) -> List[Entry]:
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try:
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p = f"%{q}%"
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with sqlite3.connect(str(self._p)) as c:
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rows = c.execute("""SELECT k,v,uid,t,m,c,u FROM mem
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WHERE uid=? AND (k LIKE ? OR v LIKE ?) ORDER BY u DESC LIMIT ?""",
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(uid, p, p, n)).fetchall()
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return [Entry(key=r[0], value=r[1], uid=r[2], etype=r[3],
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meta=json.loads(r[4]) if r[4] else {}, created=r[5], updated=r[6])
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for r in rows]
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except: return []
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def all(self, uid) -> List[Entry]:
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try:
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with sqlite3.connect(str(self._p)) as c:
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rows = c.execute("SELECT k,v,uid,t,m,c,u FROM mem WHERE uid=? ORDER BY u DESC",
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(uid,)).fetchall()
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return [Entry(key=r[0], value=r[1], uid=r[2], etype=r[3],
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meta=json.loads(r[4]) if r[4] else {}, created=r[5], updated=r[6])
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for r in rows]
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except: return []
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def rm(self, uid, k) -> bool:
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try:
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with sqlite3.connect(str(self._p)) as c:
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c.execute("DELETE FROM mem WHERE uid=? AND k=?", (uid, k))
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c.commit()
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return True
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except: return False
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@property
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def name(self) -> str: return "local"
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@property
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def cloud(self) -> bool: return False
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# ── Honcho (cloud, opt-in) ────────────────────────────────────────────
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class Honcho(Backend):
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def __init__(self):
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self._c = None
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self._k = os.getenv("HONCHO_API_KEY", "")
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def _lazy(self):
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if self._c: return self._c
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if not self._k: return None
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try:
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from honcho import Honcho as H
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self._c = H(api_key=self._k)
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return self._c
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except ImportError:
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logger.warning("honcho-ai not installed: pip install honcho-ai")
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return None
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except: return None
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def ok(self) -> bool:
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if not self._k: return False
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c = self._lazy()
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if not c: return False
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try: c.get_sessions(limit=1); return True
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except: return False
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def put(self, uid, k, v, meta=None) -> bool:
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c = self._lazy()
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if not c: return False
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try:
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c.add_message(f"m-{uid}", "system", json.dumps({"k": k, "v": v}))
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return True
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except: return False
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def get(self, uid, k) -> Optional[Entry]:
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for e in self.find(uid, k, 1):
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if e.key == k: return e
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return None
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def find(self, uid, q, n=10) -> List[Entry]:
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c = self._lazy()
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if not c: return []
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try:
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r = c.chat(f"m-{uid}", f"Find: {q}")
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if isinstance(r, dict):
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try:
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data = json.loads(r.get("content", ""))
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items = data if isinstance(data, list) else [data]
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return [Entry(key=i["k"], value=i.get("v", ""), uid=uid)
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for i in items[:n] if isinstance(i, dict) and i.get("k")]
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except json.JSONDecodeError: pass
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return []
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except: return []
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def all(self, uid) -> List[Entry]: return self.find(uid, "", 100)
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def rm(self, uid, k) -> bool: return False # Honcho doesn't support delete
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@property
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def name(self) -> str: return "honcho"
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@property
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def cloud(self) -> bool: return True
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# ── Evaluation ────────────────────────────────────────────────────────
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def score(b: Backend, uid: str = "_e_") -> Dict[str, Any]:
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"""Score a backend: availability(20) + functionality(40) + latency(20) + privacy(20)."""
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if not b.ok():
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return {"name": b.name, "score": 0, "grade": "F", "ok": False, "cloud": b.cloud}
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s = 20 # available
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# Functionality (40pts)
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t0 = time.perf_counter(); ok = b.put(uid, "ek", "ev"); sm = (time.perf_counter()-t0)*1000
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s += 15 if ok else 0
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t0 = time.perf_counter(); r = b.get(uid, "ek"); gm = (time.perf_counter()-t0)*1000
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s += 15 if r else 0
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t0 = time.perf_counter(); q = b.find(uid, "ev", 5); qm = (time.perf_counter()-t0)*1000
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s += 10 if q else 0
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# Latency (20pts)
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avg = (sm + gm + qm) / 3
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s += 20 if avg < 10 else 15 if avg < 50 else 10 if avg < 200 else 5
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# Privacy (20pts) — local sovereign, cloud risky
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s += 20 if not b.cloud else 5
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try: b.rm(uid, "ek")
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except: pass
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g = "A" if s >= 80 else "B" if s >= 60 else "C" if s >= 40 else "D" if s >= 20 else "F"
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return {"name": b.name, "score": s, "grade": g, "ok": True, "cloud": b.cloud,
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"store_ms": round(sm, 1), "get_ms": round(gm, 1), "query_ms": round(qm, 1)}
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def evaluate() -> Dict[str, Any]:
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"""Evaluate all available backends and return recommendation."""
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bs = [Null(), Local()]
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if os.getenv("HONCHO_API_KEY"):
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try: bs.append(Honcho())
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except: pass
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rs = [score(b) for b in bs]
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best = max((r for r in rs if r["name"] != "null" and r["ok"]),
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key=lambda r: r["score"], default=None)
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rec = f"Best: {best['name']} ({best['score']}pts, {best['grade']})" if best else "None available"
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if best and best.get("cloud"):
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rec += " WARNING: cloud dependency. RECOMMEND local for sovereignty."
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return {"results": rs, "recommendation": rec}
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# ── Singleton ─────────────────────────────────────────────────────────
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_inst: Optional[Backend] = None
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def get_backend() -> Backend:
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"""Get configured backend. Priority: HONCHO_API_KEY → Honcho, else Local."""
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global _inst
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if _inst: return _inst
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if os.getenv("HONCHO_API_KEY") and os.getenv("HERMES_MEMORY_BACKEND", "").lower() != "local":
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try:
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h = Honcho()
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if h.ok(): _inst = h; return _inst
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except: pass
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_inst = Local()
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return _inst
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def reset():
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global _inst
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_inst = None
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