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https://github.com/zhayujie/chatgpt-on-wechat.git
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feat(evolution): add self-evolution subsystem
Add a self-evolution subsystem that reviews idle conversations in an isolated agent and durably learns from them — patching/creating skills, finishing unfinished tasks, and backfilling missed memory. - Trigger: background idle scan, fires when a session is idle >= N min AND (>= N turns OR context usage > 80%). In-memory cursor reviews only new messages so a session never re-learns old content. - Isolated review agent: same model, restricted toolset, hard write-guard confining edits to the workspace (built-in skills are protected). - Safety: file-level backup before edits + evolution_undo tool; notify the user ONLY when a workspace file actually changed (no-nag rule); capped concurrency. - Records to memory/evolution/<date>.md, surfaced in the memory UI's renamed "Self-Evolution" tab (merged with dream diaries). - Hide internal [SCHEDULED]/[EVOLUTION]/backup_id markers from chat history display (also fixes scheduler marker leakage) while keeping them in stored content for undo. - Flat config: self_evolution_enabled (default off until release), self_evolution_idle_minutes (15), self_evolution_min_turns (6). - Tests: tests/test_evolution.py (stub + real model modes, 7 scenarios).
This commit is contained in:
@@ -13,6 +13,7 @@ Storage path: ~/cow/sessions/conversations.db
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from __future__ import annotations
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import json
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import re
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import sqlite3
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import threading
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import time
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@@ -109,6 +110,43 @@ def _extract_display_text(content: Any) -> str:
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return ""
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# Internal markers written into the session for the agent's own bookkeeping
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# (scheduler injection / self-evolution undo). They must stay in the stored
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# content (the LLM reads them, e.g. to find a backup_id for undo) but should
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# never be shown verbatim to the user in the chat history UI.
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_SCHEDULED_DISPLAY_MARKERS = ("[SCHEDULED]", "Scheduled task")
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_EVOLUTION_DISPLAY_MARKER = "[EVOLUTION]"
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def _is_internal_user_marker(text: str) -> bool:
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"""True if a user-turn text is an internal injection marker (hide from UI)."""
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t = (text or "").lstrip()
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return any(t.startswith(m) for m in _SCHEDULED_DISPLAY_MARKERS)
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def _clean_display_text(text: str) -> str:
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"""Strip internal markers from assistant text for user-facing display.
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Removes a leading ``[EVOLUTION]`` tag and a trailing ``(backup_id: ...)``
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undo hint. The raw stored message is untouched, so undo + LLM context still
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work; only the rendered chat bubble is cleaned.
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"""
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if not text:
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return text
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cleaned = text
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stripped = cleaned.lstrip()
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if stripped.startswith(_EVOLUTION_DISPLAY_MARKER):
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cleaned = stripped[len(_EVOLUTION_DISPLAY_MARKER):].lstrip()
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# Drop a trailing backup_id undo hint line, e.g.
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# "(backup_id: 20260607-...; to undo, restore this backup)"
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cleaned = re.sub(
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r"\n*\(backup_id:[^\)]*\)\s*$",
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"",
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cleaned,
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).rstrip()
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return cleaned
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def _extract_tool_calls(content: Any) -> List[Dict[str, Any]]:
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"""
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Extract tool_use blocks from an assistant message content.
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@@ -210,7 +248,10 @@ def _group_into_display_turns(
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if user_row:
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content, created_at, _u_extras = user_row
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text = _extract_display_text(content)
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if text:
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# Hide internal injection markers (scheduler / self-evolution) so the
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# user never sees a synthetic "[SCHEDULED] self-evolution" bubble;
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# the assistant reply that follows is still rendered.
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if text and not _is_internal_user_marker(text):
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turns.append({"role": "user", "content": text, "created_at": created_at})
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# Build an ordered list of steps preserving the original sequence:
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@@ -265,6 +306,14 @@ def _group_into_display_turns(
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step["result"] = tr.get("result", "")
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step["is_error"] = tr.get("is_error", False)
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# Clean internal markers from the user-facing assistant text. Applies to
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# both the final content and the mirrored content step so the rendered
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# bubble shows clean text while the stored message keeps the markers.
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final_text = _clean_display_text(final_text)
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for step in steps:
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if step.get("type") == "content":
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step["content"] = _clean_display_text(step.get("content", ""))
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if steps or final_text:
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turn = {
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"role": "assistant",
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@@ -34,13 +34,18 @@ class MemoryService:
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# ------------------------------------------------------------------
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def list_files(self, page: int = 1, page_size: int = 20, category: str = "memory") -> dict:
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"""
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List memory or dream files with metadata (without content).
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List memory, dream, or evolution files with metadata (without content).
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Args:
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category: ``"memory"`` (default) — MEMORY.md + daily files;
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``"dream"`` — dream diary files from memory/dreams/
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``"dream"`` — dream diary files from memory/dreams/;
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``"evolution"`` — self-evolution logs from memory/evolution/
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merged with the nightly dream diaries, so
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one tab shows everything the agent learned.
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"""
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if category == "dream":
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if category == "evolution":
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files = self._list_evolution_files()
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elif category == "dream":
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files = self._list_dream_files()
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else:
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files = self._list_memory_files()
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@@ -93,6 +98,26 @@ class MemoryService:
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return files
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def _list_evolution_files(self) -> List[dict]:
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"""Self-evolution logs (memory/evolution/*.md) merged with the nightly
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dream diaries (memory/dreams/*.md), newest first.
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Both are surfaced under the unified "Self-Evolution" tab. A file's
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``type`` records its origin so the reader can resolve the right dir.
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"""
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files: List[dict] = []
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for sub, ftype in (("evolution", "evolution"), ("dreams", "dream")):
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sub_dir = os.path.join(self.memory_dir, sub)
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if not os.path.isdir(sub_dir):
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continue
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for name in os.listdir(sub_dir):
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full = os.path.join(sub_dir, name)
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if os.path.isfile(full) and name.endswith(".md"):
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files.append(self._file_info(full, name, ftype))
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# Sort newest first by filename (date-named); ties favor evolution.
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files.sort(key=lambda f: (f["filename"], f["type"] != "evolution"), reverse=True)
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return files
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# ------------------------------------------------------------------
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# content — read a single file
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# ------------------------------------------------------------------
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@@ -101,7 +126,7 @@ class MemoryService:
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Read the full content of a memory or dream file.
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:param filename: File name, e.g. ``MEMORY.md``, ``2026-02-20.md``
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:param category: ``"memory"`` or ``"dream"``
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:param category: ``"memory"``, ``"dream"`` or ``"evolution"``
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:return: dict with ``filename`` and ``content``
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:raises FileNotFoundError: if the file does not exist
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"""
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@@ -125,7 +150,7 @@ class MemoryService:
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Dispatch a memory management action.
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:param action: ``list`` or ``content``
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:param payload: action-specific payload (supports ``category``: ``"memory"`` | ``"dream"``)
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:param payload: action-specific payload (supports ``category``: ``"memory"`` | ``"dream"`` | ``"evolution"``)
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:return: protocol-compatible response dict
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"""
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payload = payload or {}
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@@ -166,6 +191,7 @@ class MemoryService:
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- ``MEMORY.md`` → ``{workspace_root}/MEMORY.md``
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- ``2026-02-20.md`` (memory) → ``{workspace_root}/memory/2026-02-20.md``
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- ``2026-02-20.md`` (dream) → ``{workspace_root}/memory/dreams/2026-02-20.md``
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- ``2026-02-20.md`` (evolution) → ``{workspace_root}/memory/evolution/2026-02-20.md``
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Raises ValueError if the resolved path escapes the allowed directory.
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"""
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@@ -173,6 +199,8 @@ class MemoryService:
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base_dir = self.workspace_root
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elif category == "dream":
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base_dir = os.path.join(self.memory_dir, "dreams")
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elif category == "evolution":
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base_dir = os.path.join(self.memory_dir, "evolution")
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else:
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base_dir = self.memory_dir
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