mirror of
https://github.com/NousResearch/hermes-agent.git
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Teknium
ff706b7787
Review finding (stale wording): the drift remediation and the missing-parameter error still steered the model to the unadvertised top-level memory(action=...) shape. Both now name operations[] (a single change is a one-item list); the legacy shape still executes. The [BLOCKED: ...] load-time placeholder keeps its memory(action=remove, ...) hint: two origin/main tests pin that exact text, and that call still works.
478 lines
25 KiB
Python
478 lines
25 KiB
Python
#!/usr/bin/env python3
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"""Memory Tool - persistent curated memory (MEMORY.md = agent notes, USER.md = user
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profile). Both enter the system prompt as a FROZEN snapshot at session start;
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mid-session writes hit disk but never change the prompt (prefix cache intact).
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Single `memory` tool: add/patch/remove or a batch `operations` list."""
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import copy
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import json
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import logging
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from contextvars import ContextVar
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from pathlib import Path
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from hermes_constants import get_hermes_home
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from typing import Dict, Any, List, Optional, Tuple
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from utils import is_truthy_value
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from tools.registry import no_cache_check_fn
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# fcntl is Unix-only; Windows uses msvcrt. MemoryStore reads both lazily from
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# this module (tests patch ``memory_tool.fcntl``).
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msvcrt = None
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try:
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import fcntl
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except ImportError:
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fcntl = None
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try:
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import msvcrt
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except ImportError:
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pass
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logger = logging.getLogger(__name__)
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# One tool-definition pass must use ONE config decision for availability and the
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# dynamic target schema: the check_fn result flows to the immediately following
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# dynamic_schema_overrides call; ContextVar isolates concurrent profile builds.
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_memory_surface_flags: ContextVar[Optional[tuple[bool, bool]]] = ContextVar("memory_surface_flags", default=None)
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def get_memory_dir() -> Path:
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"""Profile-scoped memories dir, resolved per call (HERMES_HOME may switch after import)."""
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return get_hermes_home() / "memories"
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from tools.memory_tool_store import (
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ENTRY_DELIMITER, FAILURE_CLASS, MEMORY_BLOCK_HEADERS, PATCH_DROP_HINT, MemoryStore, _scan_memory_content)
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def load_on_disk_store() -> MemoryStore:
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"""Fresh on-disk MemoryStore with configured limits/flags for contexts with no live
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agent (gateway, Desktop, ``/memory``) so approvals enforce the SAME caps as
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``agent_init``. Falls back to defaults if config can't load; never raises."""
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try:
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from hermes_cli.config import load_config
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config = load_config() or {}
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mem_cfg = get_builtin_memory_config(config)
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memory_enabled, user_profile_enabled = get_builtin_memory_store_flags(config)
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store = MemoryStore(int(mem_cfg.get("memory_char_limit", 2200)), int(mem_cfg.get("user_char_limit", 1375)),
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memory_enabled=memory_enabled, user_profile_enabled=user_profile_enabled)
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except Exception:
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store = MemoryStore() # config optional — fall back to defaults rather than break /memory
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store.load_from_disk()
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return store
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def _pin_matched_entries(store: MemoryStore, payload: dict[str, Any]) -> Optional[str]:
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"""Record on each staged replace/remove the FULL entry its old_text selects now. Approval
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then applies to exactly the entry the approver reviewed and refuses if it changed:
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re-running the old_text search at approve time could hit a newer entry that still
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contains it. Returns the JSON error when the search fails now, as the direct write would."""
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target = payload.get("target", "memory")
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if payload.get("action") == "batch":
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result = store.resolve_batch_entries(target, payload["operations"])
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if result.get("success"):
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payload["operations"] = [op if entry is None else {**op, "matched_entry": entry}
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for op, entry in zip(payload["operations"], result["matched_entries"])]
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elif payload.get("action") in _BG_DELETE_ACTIONS:
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result = store.resolve_entry(target, payload.get("old_text") or "", payload["action"])
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if result.get("success"):
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payload["matched_entry"] = result["matched_entry"]
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else:
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return None
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return None if result.get("success") else json.dumps(result, ensure_ascii=False)
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def _gate_or_stage(store: MemoryStore, summary: str, detail: str, payload: dict[str, Any]) -> Optional[str]:
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"""JSON tool-result string when the write must NOT proceed (blocked or staged
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for approval), None to proceed. Fails open if the gate module can't load."""
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try:
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from tools import write_approval as wa
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except Exception:
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return None
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decision = wa.evaluate_gate(wa.MEMORY, inline_summary=summary, inline_detail=detail)
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if decision.allow:
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return None
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if decision.blocked:
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FAILURE_CLASS.set("gate_refused")
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return tool_error(decision.message, success=False)
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if (unmatched := _pin_matched_entries(store, payload)) is not None:
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return unmatched
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FAILURE_CLASS.set("staged")
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record = wa.stage_write(wa.MEMORY, payload, summary=f"{summary}: {detail[:120]}", origin=wa.current_origin())
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return json.dumps({"success": True, "staged": True, "pending_id": record["id"], "message": decision.message},
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ensure_ascii=False)
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# action -> (store call, gate (summary, detail) text) for the live tool path and staged replay
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# ('replace' only replays writes staged before it was removed from the tool).
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_STORE_ACTIONS = {
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"add": (lambda store, target, content, old_text, entry=None: store.add(target, content),
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lambda label, content, old_text: (f"add to {label}", content or "")),
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"replace": (lambda store, target, content, old_text, entry=None: store.replace(target, old_text, content, entry),
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lambda label, content, old_text: (f"replace in {label}",
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f"entry matching: {old_text}\nwhole entry becomes: {content}")),
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"remove": (lambda store, target, content, old_text, entry=None: store.remove(target, old_text, entry),
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lambda label, content, old_text: (f"remove from {label}", old_text or "")),
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"patch": (lambda store, target, content, old_text, entry=None: store.patch(target, old_text, content, entry),
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lambda label, content, old_text: (f"patch in {label}",
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f"entry matching: {old_text}\nspan '{old_text}' becomes: {content} "
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"(rest of the entry is kept)"))}
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def _batch_op_line(op: dict[str, Any]) -> str:
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op = op or {}
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act, content, old = op.get("action", "?"), op.get("content") or op.get("new_text") or "", op.get("old_text", "")
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if act == "remove":
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return f"- remove: {old}"
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if act == "patch":
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return f"- patch span '{old}' -> '{content}' (rest of the entry is kept)"
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return f"- {act}: {content}"
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def _apply_write_gate(store: MemoryStore, action: str, target: str, content: Optional[str],
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old_text: Optional[str], operations: Optional[list[dict[str, Any]]] = None) -> Optional[str]:
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"""Gate one mutating op, or (``operations`` set) a whole batch as a single unit."""
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label = "user profile" if target == "user" else "memory"
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if operations is not None:
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return _gate_or_stage(store, f"apply {len(operations)} op(s) to {label}",
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"\n".join(_batch_op_line(op) for op in operations),
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{"action": "batch", "target": target, "operations": operations})
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return _gate_or_stage(store, *_STORE_ACTIONS[action][1](label, content, old_text),
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{"action": action, "target": target, "content": content, "old_text": old_text})
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def _validate_single_op(store, action, target, content, old_text) -> Optional[str]:
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"""Validate BEFORE the gate so an invalid write is rejected now, not at approve time.
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Missing ``old_text`` is recoverable (it can't be schema-required — needs a combinator
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the Codex backend rejects): return the inventory plus a retry instruction."""
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if action == "add" and not content:
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FAILURE_CLASS.set("missing_content")
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return tool_error("Content is required for 'add' action.", success=False)
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if action in ("remove", "patch") and not old_text:
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FAILURE_CLASS.set("missing_old_text")
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return json.dumps({
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"success": False,
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"error": (f"'{action}' needs old_text -- a short unique substring of the entry "
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f"to {action}. None was provided. Reissue the {action} with old_text "
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f"set to part of one of the current_entries below."),
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"current_entries": store._entries_for(target), "usage": store._usage(target)}, ensure_ascii=False)
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if action == "patch" and not content:
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FAILURE_CLASS.set("missing_content")
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return tool_error(f"content (the new text for the old_text span) is required for 'patch' action. "
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f"{PATCH_DROP_HINT}", success=False)
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return None
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# 'replace' is no longer offered to the model; it stays here so writes staged before its
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# removal still pin, display and replay.
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_BG_DELETE_ACTIONS = ("replace", "remove", "patch")
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_REPLACE_REMOVED = ("'replace' is not available; use 'patch'. old_text is the exact span to change and "
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"content is its new text; the rest of the entry is kept. To rewrite a whole entry, "
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"set old_text to the whole entry. Nothing was written.")
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def destructive_ops(payload: dict[str, Any]) -> list[dict[str, Any]]:
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"""The replace/remove ops of a staged memory payload, single-op or batch shape."""
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ops = (payload.get("operations") or []) if payload.get("action") == "batch" else [payload]
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return [op for op in ops if (op or {}).get("action") in _BG_DELETE_ACTIONS]
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def _background_delete_gate(store, action, operations, target="memory", content=None,
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old_text=None) -> Optional[str]:
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"""Fail-closed operation gate for unattended background-review forks (#105921): ``add``
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stays available (it is all any review prompt asks for), while ``patch``/``remove`` —
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single or inside a batch — are never applied unattended. The op is staged in the pending
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store instead of merely denied: the fork's own review summary is never published back, so
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a plain denial would drop the consolidation request with no surfacing path at all. A
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staging failure fails closed to a plain denial."""
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from tools.skill_provenance import is_unattended_review
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if not is_unattended_review():
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return None
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payload = ({"action": "batch", "target": target, "operations": operations}
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if operations is not None else
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{"action": action, "target": target, "content": content, "old_text": old_text})
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if not destructive_ops(payload):
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return None
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detail = ("; ".join(_batch_op_line(op) for op in operations) if operations is not None
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else _batch_op_line({"action": action, "content": content, "old_text": old_text}))
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try:
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if (unmatched := _pin_matched_entries(store, payload)) is not None:
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return unmatched
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from tools import write_approval as wa
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FAILURE_CLASS.set("staged")
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record = wa.stage_write(
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wa.MEMORY, payload,
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summary=(f"background review consolidation ({'batch' if operations is not None else action} "
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f"on {target}): {detail}")[:200],
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origin=wa.current_origin())
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return json.dumps({
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"success": True, "staged": True, "proposal_staged": True, "pending_id": record["id"],
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"message": ("Background review may not delete memory entries unattended. The proposed "
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f"{'batch' if operations is not None else action} was staged for your approval — "
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"review it with /memory pending (approve to apply, discard to drop)."),
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}, ensure_ascii=False)
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except Exception:
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logger.warning("Failed to stage background-review consolidation; denying", exc_info=True)
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FAILURE_CLASS.set("gate_refused")
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return tool_error(
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"Background review may not delete memory entries ('patch'/'remove', including in a "
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"batch); 'add' is still available.", success=False)
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def memory_tool(action: str | None = None, target: str = "memory", content: str | None = None, old_text: str | None = None,
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new_text: str | None = None, operations: Optional[list[dict[str, Any]]] = None,
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store: Optional[MemoryStore] = None) -> str:
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"""Tool entry point; returns a JSON string. Single op (action + content/old_text)
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or batch (``operations``, atomic against the final budget). ``new_text``
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aliases ``content``."""
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if store is None:
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return tool_error("Memory is not available. It may be disabled in config or this environment.", success=False)
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token = FAILURE_CLASS.set("other")
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try:
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outcome, result = _memory_tool(action, target, content, old_text, new_text, operations, store)
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failure_class = "none" if outcome == "success" else FAILURE_CLASS.get()
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finally:
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FAILURE_CLASS.reset(token)
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from hermes_cli.observability.shared_metrics_loop import record_builtin_memory_call
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record_builtin_memory_call(action, operations, outcome=outcome, failure_class=failure_class)
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return result
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def _applied(result: dict[str, Any]) -> tuple[str, str]:
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return ("success" if result.get("success") else "failed"), json.dumps(result, ensure_ascii=False)
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def _invalid(message: str) -> tuple[str, str]:
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FAILURE_CLASS.set("invalid_args")
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return "rejected", tool_error(message, success=False)
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def _memory_tool(action, target, content, old_text, new_text, operations, store) -> tuple[str, str]:
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"""``(outcome, result_json)``: ``rejected`` when refused or held before touching the store."""
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# An omitted optional string can arrive as "" (#90468): let the new_text alias fill it.
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if not content and new_text:
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content = new_text
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target_error = _memory_target_error(store, target, operations)
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if target_error is not None:
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return "rejected", json.dumps(target_error)
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if operations:
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if not isinstance(operations, list):
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return _invalid("operations must be a list of {action, content?, old_text?} objects.")
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if any(isinstance(op, dict) and op.get("action") == "replace" for op in operations):
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return _invalid(_REPLACE_REMOVED)
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denied = _background_delete_gate(store, action, operations, target)
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if denied is not None:
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return "rejected", denied
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# Approval gate: stages (background/gateway) or prompts inline (CLI); off by default.
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gate_result = _apply_write_gate(store, "batch", target, None, None, operations)
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if gate_result is not None:
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return "rejected", gate_result
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return _applied(store.apply_batch(target, operations))
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# Reject calls with neither operations[] nor the legacy top-level action.
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# Without this guard the dispatch falls through to the generic
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# "Unknown action 'None'" error, which gives the model no signal about
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# *why* the call was malformed and can trigger repeated retries. (#64291)
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if not action and not operations:
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return _invalid(
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"Missing required parameter: 'operations', a list of {action: add/patch/remove, "
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"content?, old_text?} changes; a single change is a one-item list."
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)
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if action == "replace":
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return _invalid(_REPLACE_REMOVED)
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if action not in _STORE_ACTIONS:
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return _invalid(f"Unknown action '{action}'. Use: add, patch, remove")
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invalid = (_validate_single_op(store, action, target, content, old_text)
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or _background_delete_gate(store, action, None, target, content, old_text)
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or _apply_write_gate(store, action, target, content, old_text))
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if invalid is not None:
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return "rejected", invalid
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return _applied(_STORE_ACTIONS[action][0](store, target, content, old_text))
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def get_builtin_memory_config(config: Optional[dict[str, Any]] = None) -> dict[str, Any]:
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"""Normalized ``memory`` config section ({} when missing/malformed → flags default to
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enabled). ``agent_init`` reads the same section so availability and store cannot diverge."""
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if config is None:
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try:
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from hermes_cli.config import load_config_readonly
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config = load_config_readonly()
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except Exception:
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logger.debug("Could not read memory config for availability", exc_info=True)
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return {}
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section = config.get("memory") if isinstance(config, dict) else None
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return section if isinstance(section, dict) else {}
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def get_builtin_memory_store_flags(config: Optional[dict[str, Any]] = None) -> tuple[bool, bool]:
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"""Return ``(memory_enabled, user_profile_enabled)`` from resolved config."""
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section = get_builtin_memory_config(config)
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return tuple(is_truthy_value(section.get(k), default=True) for k in ("memory_enabled", "user_profile_enabled"))
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@no_cache_check_fn
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def check_memory_requirements() -> bool:
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"""Snapshot store flags and report whether the built-in tool is available."""
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_memory_surface_flags.set(None)
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flags = get_builtin_memory_store_flags()
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_memory_surface_flags.set(flags)
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return flags[0] or flags[1]
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def _memory_target_error(
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store: MemoryStore, target: str | None, operations: list[dict[str, Any]] | None = None,
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) -> dict[str, Any] | None:
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"""Validate one explicit store before writing, staging, or replaying a batch."""
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if target is None:
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FAILURE_CLASS.set("invalid_args")
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return {"success": False, "error": (
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"Missing required target. Retry with target='memory' or target='user' at the top level. "
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"For a batch, remove target from every operation; use separate calls for different stores. "
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"Nothing was written or staged.")}
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if not isinstance(target, str) or target not in {"memory", "user"}:
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from tools.registry import _bound_error_text
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FAILURE_CLASS.set("invalid_args")
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return {"success": False,
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"error": _bound_error_text(f"Invalid memory target '{target}'. Use 'memory' or 'user'.")}
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if isinstance(operations, list):
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for index, op in enumerate(operations, 1):
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# A nested target equal to the call's (or null) is redundant, not wrong; only a
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# different one asks for two stores in one call, which a batch cannot do.
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if isinstance(op, dict) and op.get("target") not in (None, target):
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FAILURE_CLASS.set("invalid_args")
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return {"success": False, "error": (
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f"Operation {index} names a different target than the one at the top level. "
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"One call writes one store: retry with separate calls for different stores. "
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"Nothing was written or staged.")}
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if store.target_enabled(target):
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return None
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label = "USER.md" if target == "user" else "MEMORY.md"
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FAILURE_CLASS.set("disabled")
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return {"success": False, "error": f"Built-in {label} writes are disabled in memory config.", "target": target}
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def apply_memory_pending(payload: dict[str, Any], store: MemoryStore) -> dict[str, Any]:
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"""Replay a staged write against the store, bypassing the gate (/memory approve). A
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replace/remove applies to exactly its pinned ``matched_entry`` or is refused; a record
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staged before pinning has no verifiable target, so it is refused rather than replayed by
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old_text (which could hit a newer entry the approver never saw)."""
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action, target = payload.get("action"), payload.get("target")
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target_error = _memory_target_error(store, target, payload.get("operations"))
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if target_error is not None:
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return target_error
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if any(not op.get("matched_entry") for op in destructive_ops(payload)):
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return {"success": False, "error": "This destructive pending write predates entry pinning and cannot be "
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"verified; nothing was applied. Reject it and recreate the change."}
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if action == "batch":
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return store.apply_batch(target, payload.get("operations") or [])
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if action not in _STORE_ACTIONS:
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return {"success": False, "error": f"Unknown staged action '{action}'."}
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return _STORE_ACTIONS[action][0](store, target, payload.get("content") or "", payload.get("old_text") or "",
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payload.get("matched_entry"))
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MEMORY_SCHEMA = {
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"name": "memory",
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"description": (
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"Save durable facts to persistent memory that survive across sessions. Memory is "
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"injected into every future turn, so keep entries compact and high-signal.\n\n"
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"HOW: make ALL your changes to one target in ONE call via an 'operations' array (each "
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"item: {action, content?, old_text?}). The batch applies atomically and the char limit is "
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"checked only on the FINAL result — so a single call can remove/patch stale entries "
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"to free room AND add new ones, even when an add alone would overflow. The response "
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"reports current/limit chars and confirms completion; one batch call finishes the "
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"update, so don't repeat it.\n\n"
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"WHEN: only for facts that apply to EVERY session regardless of task: who the user "
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|
"is, stable environment facts, standing conventions with no task home. Anything "
|
|
"learned while doing a task (procedures, pitfalls, and the user's preferences and "
|
|
"corrections for that kind of work) belongs in the task's skill via skill_manage, "
|
|
"where it loads only when relevant; memory is injected into every turn and must "
|
|
"stay small.\n\n"
|
|
"IF FULL: an add is rejected with the current entries shown. Reissue as ONE batch that "
|
|
"removes or shortens enough stale entries and adds the new one together.\n\n"
|
|
"TARGETS: 'user' = who the user is (name, role, preferences, style). 'memory' = your "
|
|
"notes (environment, conventions, tool quirks, lessons).\n\n"
|
|
"SKIP: trivial/obvious info, easily re-discovered facts, raw data dumps, task progress, "
|
|
"completed-work logs, temporary TODO state (use session_search for those). Reusable "
|
|
"procedures belong in a skill, not memory."
|
|
),
|
|
# Each field is advertised once, inside operations[]. The handler still ACCEPTS the
|
|
# top-level single-op shape (action/content/old_text) and the new_text alias: models
|
|
# drift and older transcripts replay them.
|
|
"parameters": {
|
|
"type": "object",
|
|
"properties": {
|
|
"target": {
|
|
"type": "string",
|
|
"enum": ["memory", "user"],
|
|
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
|
|
},
|
|
"operations": {
|
|
"type": "array",
|
|
"description": (
|
|
"Changes applied atomically in one call against the final char budget; "
|
|
"a single change is a one-item list."
|
|
),
|
|
"items": {
|
|
"type": "object",
|
|
"properties": {
|
|
"action": {"type": "string", "enum": ["add", "patch", "remove"]},
|
|
"content": {
|
|
"type": "string",
|
|
"description": ("Required for 'add' and 'patch'. For 'add', the new entry. For 'patch', "
|
|
"the text that replaces old_text; the rest of the entry is kept."),
|
|
},
|
|
"old_text": {
|
|
"type": "string",
|
|
"description": ("REQUIRED for 'patch' and 'remove': text from one entry. 'patch' replaces "
|
|
"exactly this span (it must occur once in the entry); 'remove' deletes the "
|
|
"whole entry. Omit for 'add'."),
|
|
},
|
|
},
|
|
"required": ["action"],
|
|
"additionalProperties": False,
|
|
},
|
|
},
|
|
},
|
|
"required": ["target", "operations"],
|
|
},
|
|
}
|
|
|
|
|
|
# Schema text when only one built-in store is enabled: (target description, TARGETS replacement).
|
|
_SINGLE_TARGET_TEXT = {
|
|
("memory",): ("The enabled built-in store: 'memory' for personal notes.",
|
|
"TARGET: only 'memory' is enabled for personal notes (environment, conventions, "
|
|
"tool quirks, lessons)."),
|
|
("user",): ("The enabled built-in store: 'user' for user profile.",
|
|
"TARGET: only 'user' is enabled for user profile facts (name, role, preferences, style).")}
|
|
|
|
|
|
def _build_memory_schema_overrides() -> dict[str, Any]:
|
|
"""Narrow the advertised target surface using the availability snapshot."""
|
|
flags = _memory_surface_flags.get() or get_builtin_memory_store_flags()
|
|
_memory_surface_flags.set(None)
|
|
targets = [t for t, on in zip(("memory", "user"), flags) if on]
|
|
parameters = copy.deepcopy(MEMORY_SCHEMA["parameters"])
|
|
target_schema, description = parameters["properties"]["target"], MEMORY_SCHEMA["description"]
|
|
target_schema["enum"] = targets
|
|
if narrowed := _SINGLE_TARGET_TEXT.get(tuple(targets)):
|
|
target_schema["description"], replacement = narrowed
|
|
description = description.replace(
|
|
"TARGETS: 'user' = who the user is (name, role, preferences, style). 'memory' = your "
|
|
"notes (environment, conventions, tool quirks, lessons).", replacement)
|
|
return {"description": description, "parameters": parameters}
|
|
|
|
|
|
from tools.registry import registry, tool_error
|
|
|
|
registry.register(
|
|
name="memory",
|
|
toolset="memory",
|
|
schema=MEMORY_SCHEMA,
|
|
handler=lambda args, **kw: memory_tool(
|
|
action=args.get("action", ""), target=args.get("target"), store=kw.get("store"),
|
|
**{k: args.get(k) for k in ("content", "old_text", "new_text", "operations")}),
|
|
check_fn=check_memory_requirements,
|
|
emoji="🧠",
|
|
dynamic_schema_overrides=_build_memory_schema_overrides)
|