diff --git a/.env.example b/.env.example
index 48c2a35..bb5a4ee 100644
--- a/.env.example
+++ b/.env.example
@@ -17,6 +17,7 @@ OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
 DATABASE_URL=sqlite:///./data/assistant.db
 CORS_ORIGINS=http://localhost:5173,http://localhost:8080,http://localhost:3080
 SYSTEM_PROMPT_PATH=./prompts/assistant.md
+MEMORY_AUTO_EXTRACT=true
 
 # Taiga (on host :9000, nginx → taiga.grigowashere.ru)
 TAIGA_BASE_URL=http://host.docker.internal:9000
diff --git a/README.md b/README.md
index c66306a..bd3201a 100644
--- a/README.md
+++ b/README.md
@@ -178,6 +178,11 @@ data/        SQLite БД (создаётся автоматически)
 В system prompt на каждый ответ: персонаж → **память** → помидоро → проекты.  
 История чата обрезается до 40 последних сообщений; раннее — в `session_summaries`.
 
+**Автоизвлечение:** после каждого ответа LLM анализирует ход диалога и сохраняет
+устойчивые факты (`source=auto`). Отключить: `MEMORY_AUTO_EXTRACT=false`.
+
+**UI:** вкладка `/memory` — профиль, факты, JSON-снимок для отладки.
+
 ### Tools
 
 - `remember_fact` — «запомни, что…»
@@ -198,8 +203,8 @@ data/        SQLite БД (создаётся автоматически)
 
 ## Следующие фазы
 
-- Qdrant: семантический поиск по фактам и документам
-- RAG: загрузка файлов, `search_documents`
+- Фаза 4: инструменты с обращением к внешним API
+- Фаза 5: RAG по файлам, Qdrant (если понадобится семантика)
 - Проактивные чаты по расписанию
 - Фитнес-трекер
 
diff --git a/backend/app/api/routes/memory.py b/backend/app/api/routes/memory.py
index 5277d05..e87adf2 100644
--- a/backend/app/api/routes/memory.py
+++ b/backend/app/api/routes/memory.py
@@ -5,6 +5,8 @@ from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 
 from app.db.base import get_db
+from app.db.models import ChatSession
+from app.memory.extract import extract_after_turn
 from app.memory.service import MemoryService
 
 router = APIRouter()
@@ -26,6 +28,13 @@ class SessionSummaryUpdate(BaseModel):
     message_count: int = 0
 
 
+class ExtractRequest(BaseModel):
+    session_id: int
+    user_text: str = Field(min_length=1)
+    assistant_text: str = ""
+    force: bool = False
+
+
 @router.get("/memory")
 def get_memory_snapshot(
     session_id: int | None = None,
@@ -85,6 +94,23 @@ def forget_fact(memory_id: int, db: Session = Depends(get_db)) -> dict[str, Any]
         raise HTTPException(status_code=404, detail=str(exc)) from exc
 
 
+@router.post("/memory/extract")
+async def extract_memories(
+    payload: ExtractRequest,
+    db: Session = Depends(get_db),
+) -> dict:
+    session = db.get(ChatSession, payload.session_id)
+    if not session:
+        raise HTTPException(status_code=404, detail="Session not found")
+    return await extract_after_turn(
+        db,
+        payload.session_id,
+        payload.user_text,
+        payload.assistant_text,
+        force=payload.force,
+    )
+
+
 @router.put("/memory/sessions/{session_id}/summary")
 def update_session_summary(
     session_id: int,
diff --git a/backend/app/chat/service.py b/backend/app/chat/service.py
index 5d44b24..b3a0914 100644
--- a/backend/app/chat/service.py
+++ b/backend/app/chat/service.py
@@ -5,6 +5,7 @@ from typing import Any
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
+from app.config import get_settings
 from app.character.service import CharacterService
 from app.chat.notices import (
     POMODORO_TOOL_NAMES,
@@ -16,6 +17,7 @@ from app.memory.context import (
     format_memory_context,
     get_memory_snapshot,
 )
+from app.memory.extract import extract_after_turn
 from app.projects.context import format_projects_context, get_projects_snapshot
 from app.db.models import ChatSession, Message
 from app.llm.client import LLMClient
@@ -184,7 +186,20 @@ class ChatService:
             if final_content:
                 self._save_message(session_id, "assistant", final_content)
 
-            yield self._sse("done", {})
+            memory_meta: dict[str, Any] = {}
+            if get_settings().memory_auto_extract:
+                extraction = await extract_after_turn(
+                    self.db,
+                    session_id,
+                    user_text,
+                    final_content,
+                )
+                memory_meta = {
+                    "memory_extracted": extraction.get("count", 0),
+                    "memory_saved": extraction.get("saved", []),
+                }
+
+            yield self._sse("done", memory_meta)
             return
 
         yield self._sse("error", {"message": "Too many tool call rounds"})
diff --git a/backend/app/config.py b/backend/app/config.py
index d9ee859..52a3734 100644
--- a/backend/app/config.py
+++ b/backend/app/config.py
@@ -21,6 +21,7 @@ class Settings(BaseSettings):
     database_url: str = "sqlite:///./data/assistant.db"
     cors_origins: str = "http://localhost:5173,http://localhost:8080,http://localhost:3000"
     system_prompt_path: str = "./prompts/assistant.md"
+    memory_auto_extract: bool = True
 
     # Taiga/Gitea on host (not in Docker) — use host.docker.internal from container
     taiga_base_url: str = "http://host.docker.internal:9000"
diff --git a/backend/app/llm/client.py b/backend/app/llm/client.py
index 3be0b6f..b839672 100644
--- a/backend/app/llm/client.py
+++ b/backend/app/llm/client.py
@@ -70,11 +70,13 @@ class LLMClient:
         self,
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
+        *,
+        temperature: float = 0.7,
     ) -> dict[str, Any]:
         kwargs: dict[str, Any] = {
             "model": self.model,
             "messages": messages,
-            "temperature": 0.7,
+            "temperature": temperature,
         }
         if tools:
             kwargs["tools"] = tools
diff --git a/backend/app/memory/extract.py b/backend/app/memory/extract.py
new file mode 100644
index 0000000..9117319
--- /dev/null
+++ b/backend/app/memory/extract.py
@@ -0,0 +1,143 @@
+import json
+import logging
+import re
+from typing import Any
+
+from sqlalchemy.orm import Session
+
+from app.llm.client import LLMClient
+from app.memory.service import MemoryService
+from app.projects.structuring import strip_markdown_json
+
+logger = logging.getLogger(__name__)
+
+SKIP_USER_PATTERN = re.compile(
+    r"^(ок|ok|да|нет|спасибо|thanks|\.{1,3}|👍|\+1)$",
+    re.IGNORECASE,
+)
+
+EXTRACTION_PROMPT = """
+Ты извлекаешь долгосрочные факты о пользователе из фрагмента диалога.
+Ответь ТОЛЬКО JSON без markdown.
+
+Схема:
+{
+  "facts": [
+    {"content": "текст факта", "category": "preference|person|habit|project|fact", "importance": 1}
+  ],
+  "profile": {"name": "", "age": "", "timezone": "", "notes": ""}
+}
+
+Правила:
+- Сохраняй устойчивое: имя, возраст, предпочтения, привычки, проекты, семья, работа.
+- НЕ сохраняй: статус помидоро, погоду, разовые команды, ролевую игру, выдумки ассистента.
+- profile — только поля с новыми значениями (пустые строки не включай).
+- facts — короткие утверждения от первого лица пользователя («люблю кофе», «меня зовут …»).
+- Если нечего сохранять — {"facts": [], "profile": {}}.
+- Не дублируй уже известное (см. текущий профиль и факты ниже).
+- importance: 5 критично (имя), 4 важно, 3 обычно, 2 мелочь.
+""".strip()
+
+
+def _should_skip_extraction(user_text: str) -> bool:
+    text = user_text.strip()
+    if len(text) < 4:
+        return True
+    if SKIP_USER_PATTERN.match(text):
+        return True
+    return False
+
+
+async def _call_extractor(
+    user_text: str,
+    assistant_text: str,
+    snapshot: dict[str, Any],
+) -> dict[str, Any]:
+    profile = snapshot.get("profile") or {}
+    facts = snapshot.get("facts") or []
+    known = [
+        f"Профиль: {json.dumps(profile, ensure_ascii=False)}",
+        "Факты:",
+        *[f"- {f.get('content')}" for f in facts[:30]],
+    ]
+
+    llm = LLMClient()
+    result = await llm.complete(
+        [
+            {"role": "system", "content": EXTRACTION_PROMPT},
+            {
+                "role": "user",
+                "content": (
+                    "\n".join(known)
+                    + "\n\n---\nДиалог:\nПользователь: "
+                    + user_text
+                    + "\nАссистент: "
+                    + (assistant_text[:1500] if assistant_text else "(нет ответа)")
+                ),
+            },
+        ],
+        temperature=0.2,
+    )
+    raw = strip_markdown_json(result.get("content") or "")
+    if not raw:
+        return {"facts": [], "profile": {}}
+    parsed = json.loads(raw)
+    if not isinstance(parsed, dict):
+        return {"facts": [], "profile": {}}
+    return parsed
+
+
+async def extract_after_turn(
+    db: Session,
+    session_id: int,
+    user_text: str,
+    assistant_text: str,
+    *,
+    force: bool = False,
+) -> dict[str, Any]:
+    if not force and _should_skip_extraction(user_text):
+        return {"ok": True, "skipped": "short_message", "saved": []}
+
+    memory = MemoryService(db)
+    snapshot = memory.snapshot(session_id)
+
+    try:
+        parsed = await _call_extractor(user_text, assistant_text, snapshot)
+    except (json.JSONDecodeError, Exception) as exc:
+        logger.warning("Memory extraction failed: %s", exc)
+        return {"ok": False, "error": str(exc), "saved": []}
+
+    saved: list[dict[str, Any]] = []
+
+    profile_updates = parsed.get("profile") or {}
+    if isinstance(profile_updates, dict):
+        filtered = {
+            k: str(v).strip()
+            for k, v in profile_updates.items()
+            if v and str(v).strip()
+        }
+        if filtered:
+            memory.update_profile(filtered)
+            saved.append({"type": "profile", "updates": filtered})
+
+    facts = parsed.get("facts") or []
+    if isinstance(facts, list):
+        for item in facts:
+            if not isinstance(item, dict):
+                continue
+            content = (item.get("content") or "").strip()
+            if not content or len(content) < 3:
+                continue
+            try:
+                result = memory.remember_fact(
+                    content,
+                    category=str(item.get("category") or "fact")[:64],
+                    importance=int(item.get("importance") or 3),
+                    session_id=session_id,
+                    source="auto",
+                )
+                saved.append({"type": "fact", **result})
+            except ValueError:
+                continue
+
+    return {"ok": True, "saved": saved, "count": len(saved)}
diff --git a/backend/app/memory/service.py b/backend/app/memory/service.py
index cc2cbc6..f222542 100644
--- a/backend/app/memory/service.py
+++ b/backend/app/memory/service.py
@@ -218,6 +218,8 @@ class MemoryService:
                     "category": f.category,
                     "content": f.content,
                     "importance": f.importance,
+                    "source": f.source,
+                    "updated_at": f.updated_at.isoformat() if f.updated_at else None,
                 }
                 for f in facts
             ],
diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx
index 67652ac..52016f4 100644
--- a/frontend/src/App.tsx
+++ b/frontend/src/App.tsx
@@ -3,6 +3,7 @@ import PomodoroWidget from "./components/PomodoroWidget";
 import { PomodoroProvider } from "./context/PomodoroContext";
 import Character from "./pages/Character";
 import Chat from "./pages/Chat";
+import Memory from "./pages/Memory";
 import Pomodoro from "./pages/Pomodoro";
 import "./App.css";
 
@@ -18,6 +19,7 @@ export default function App() {
           </NavLink>
           <NavLink to="/pomodoro">Помидоро</NavLink>
           <NavLink to="/character">Персонаж</NavLink>
+          <NavLink to="/memory">Память</NavLink>
           <PomodoroWidget compact />
         </nav>
       </header>
@@ -26,6 +28,7 @@ export default function App() {
           <Route path="/" element={<Chat />} />
           <Route path="/pomodoro" element={<Pomodoro />} />
           <Route path="/character" element={<Character />} />
+          <Route path="/memory" element={<Memory />} />
         </Routes>
       </main>
     </div>
diff --git a/frontend/src/api/client.ts b/frontend/src/api/client.ts
index 6353da6..29415f8 100644
--- a/frontend/src/api/client.ts
+++ b/frontend/src/api/client.ts
@@ -64,6 +64,30 @@ export interface CharacterCardV2 {
   data: CharacterCardData;
 }
 
+export interface UserProfile {
+  name?: string;
+  age?: string;
+  timezone?: string;
+  language?: string;
+  notes?: string;
+}
+
+export interface MemoryFact {
+  id: number;
+  category: string;
+  content: string;
+  importance: number;
+  source?: string;
+  updated_at?: string | null;
+}
+
+export interface MemorySnapshot {
+  profile: UserProfile;
+  facts: MemoryFact[];
+  session_summary?: string;
+  total_facts: number;
+}
+
 export interface PomodoroHistoryItem {
   id: number;
   status: string;
@@ -194,4 +218,31 @@ export const api = {
       headers: { "Content-Type": "application/json" },
       body: JSON.stringify(card),
     }),
+
+  getMemorySnapshot: (sessionId?: number) =>
+    request<MemorySnapshot>(
+      `/api/v1/memory${sessionId ? `?session_id=${sessionId}` : ""}`
+    ),
+
+  updateProfile: (updates: UserProfile) =>
+    request<{ ok: boolean; profile: UserProfile }>("/api/v1/profile", {
+      method: "PUT",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ updates }),
+    }),
+
+  createMemoryFact: (payload: {
+    content: string;
+    category?: string;
+    importance?: number;
+    session_id?: number;
+  }) =>
+    request<{ ok: boolean; memory_id: number }>("/api/v1/memory/facts", {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify(payload),
+    }),
+
+  forgetMemoryFact: (id: number) =>
+    request<{ ok: boolean }>(`/api/v1/memory/facts/${id}`, { method: "DELETE" }),
 };
diff --git a/frontend/src/pages/Memory.css b/frontend/src/pages/Memory.css
new file mode 100644
index 0000000..4e6df87
--- /dev/null
+++ b/frontend/src/pages/Memory.css
@@ -0,0 +1,160 @@
+.memory-page {
+  max-width: 900px;
+  margin: 0 auto;
+  padding: 1.5rem;
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+}
+
+.memory-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: flex-start;
+  gap: 1rem;
+  flex-wrap: wrap;
+}
+
+.memory-header h2 {
+  margin: 0 0 0.25rem;
+}
+
+.memory-header p {
+  margin: 0;
+  color: #8b95a8;
+  font-size: 0.9rem;
+}
+
+.memory-header-actions {
+  display: flex;
+  gap: 0.5rem;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.memory-session-input {
+  width: 140px;
+}
+
+.memory-message {
+  padding: 0.6rem 0.9rem;
+  background: #1a2a1f;
+  border: 1px solid #2d5a3d;
+  border-radius: 8px;
+  font-size: 0.9rem;
+}
+
+.memory-section {
+  background: #151922;
+  border: 1px solid #2a2f3a;
+  border-radius: 10px;
+  padding: 1rem 1.25rem;
+}
+
+.memory-section h3 {
+  margin: 0 0 0.75rem;
+  font-size: 1rem;
+}
+
+.memory-profile-form {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+  gap: 0.75rem;
+}
+
+.memory-profile-form label {
+  display: flex;
+  flex-direction: column;
+  gap: 0.25rem;
+  font-size: 0.85rem;
+  color: #8b95a8;
+}
+
+.memory-profile-form input {
+  padding: 0.45rem 0.6rem;
+  border-radius: 6px;
+  border: 1px solid #2a2f3a;
+  background: #0f1218;
+  color: #e8ecf1;
+}
+
+.memory-profile-form button {
+  grid-column: 1 / -1;
+  justify-self: start;
+}
+
+.memory-summary {
+  margin: 0;
+  white-space: pre-wrap;
+  color: #c5cdd8;
+}
+
+.memory-add-fact {
+  display: flex;
+  gap: 0.5rem;
+  margin-bottom: 0.75rem;
+  flex-wrap: wrap;
+}
+
+.memory-add-fact input {
+  flex: 1;
+  min-width: 200px;
+}
+
+.memory-facts-list {
+  list-style: none;
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: column;
+  gap: 0.6rem;
+}
+
+.memory-facts-list li {
+  padding: 0.75rem;
+  background: #0f1218;
+  border: 1px solid #2a2f3a;
+  border-radius: 8px;
+}
+
+.memory-fact-meta {
+  display: flex;
+  gap: 0.6rem;
+  font-size: 0.78rem;
+  color: #8b95a8;
+  margin-bottom: 0.35rem;
+  flex-wrap: wrap;
+}
+
+.memory-source-auto {
+  color: #7eb8da;
+}
+
+.memory-source-user,
+.memory-source-tool {
+  color: #9ed49e;
+}
+
+.memory-source-api {
+  color: #d4b87a;
+}
+
+.memory-fact-content {
+  margin-bottom: 0.5rem;
+  line-height: 1.4;
+}
+
+.memory-empty {
+  color: #8b95a8;
+  font-style: italic;
+}
+
+.memory-raw {
+  background: #0f1218;
+  border: 1px solid #2a2f3a;
+  border-radius: 10px;
+  padding: 1rem;
+  overflow: auto;
+  font-size: 0.82rem;
+  max-height: 70vh;
+}
diff --git a/frontend/src/pages/Memory.tsx b/frontend/src/pages/Memory.tsx
new file mode 100644
index 0000000..21d2fbf
--- /dev/null
+++ b/frontend/src/pages/Memory.tsx
@@ -0,0 +1,183 @@
+import { FormEvent, useCallback, useEffect, useState } from "react";
+import { api, MemoryFact, MemorySnapshot, UserProfile } from "../api/client";
+import "./Memory.css";
+
+const PROFILE_FIELDS: (keyof UserProfile)[] = [
+  "name",
+  "age",
+  "timezone",
+  "language",
+  "notes",
+];
+
+export default function Memory() {
+  const [snapshot, setSnapshot] = useState<MemorySnapshot | null>(null);
+  const [profile, setProfile] = useState<UserProfile>({});
+  const [facts, setFacts] = useState<MemoryFact[]>([]);
+  const [sessionId, setSessionId] = useState("");
+  const [newFact, setNewFact] = useState("");
+  const [newCategory, setNewCategory] = useState("fact");
+  const [message, setMessage] = useState("");
+  const [showRaw, setShowRaw] = useState(false);
+  const [loading, setLoading] = useState(false);
+
+  const load = useCallback(async () => {
+    setLoading(true);
+    setMessage("");
+    try {
+      const sid = sessionId.trim() ? Number(sessionId) : undefined;
+      const data = await api.getMemorySnapshot(sid);
+      setSnapshot(data);
+      setProfile(data.profile || {});
+      setFacts(data.facts || []);
+    } catch (err) {
+      setMessage(err instanceof Error ? err.message : "Ошибка загрузки");
+    } finally {
+      setLoading(false);
+    }
+  }, [sessionId]);
+
+  useEffect(() => {
+    load().catch(console.error);
+  }, [load]);
+
+  const handleProfileSave = async (e: FormEvent) => {
+    e.preventDefault();
+    try {
+      await api.updateProfile(profile);
+      setMessage("Профиль сохранён");
+      await load();
+    } catch (err) {
+      setMessage(err instanceof Error ? err.message : "Ошибка");
+    }
+  };
+
+  const handleAddFact = async (e: FormEvent) => {
+    e.preventDefault();
+    if (!newFact.trim()) return;
+    try {
+      await api.createMemoryFact({
+        content: newFact.trim(),
+        category: newCategory,
+        session_id: sessionId.trim() ? Number(sessionId) : undefined,
+      });
+      setNewFact("");
+      setMessage("Факт добавлен");
+      await load();
+    } catch (err) {
+      setMessage(err instanceof Error ? err.message : "Ошибка");
+    }
+  };
+
+  const handleForget = async (id: number) => {
+    try {
+      await api.forgetMemoryFact(id);
+      setMessage(`Факт #${id} удалён`);
+      await load();
+    } catch (err) {
+      setMessage(err instanceof Error ? err.message : "Ошибка");
+    }
+  };
+
+  return (
+    <div className="memory-page">
+      <header className="memory-header">
+        <div>
+          <h2>Память</h2>
+          <p>Отладка профиля, фактов и автоизвлечения</p>
+        </div>
+        <div className="memory-header-actions">
+          <input
+            type="number"
+            placeholder="session_id (опц.)"
+            value={sessionId}
+            onChange={(e) => setSessionId(e.target.value)}
+            className="memory-session-input"
+          />
+          <button type="button" onClick={() => load()} disabled={loading}>
+            {loading ? "…" : "Обновить"}
+          </button>
+          <button type="button" onClick={() => setShowRaw((v) => !v)}>
+            {showRaw ? "UI" : "JSON"}
+          </button>
+        </div>
+      </header>
+
+      {message && <div className="memory-message">{message}</div>}
+
+      {showRaw ? (
+        <pre className="memory-raw">{JSON.stringify(snapshot, null, 2)}</pre>
+      ) : (
+        <>
+          <section className="memory-section">
+            <h3>Профиль</h3>
+            <form className="memory-profile-form" onSubmit={handleProfileSave}>
+              {PROFILE_FIELDS.map((key) => (
+                <label key={key}>
+                  <span>{key}</span>
+                  <input
+                    value={profile[key] ?? ""}
+                    onChange={(e) =>
+                      setProfile((prev) => ({ ...prev, [key]: e.target.value }))
+                    }
+                  />
+                </label>
+              ))}
+              <button type="submit">Сохранить профиль</button>
+            </form>
+          </section>
+
+          {snapshot?.session_summary && (
+            <section className="memory-section">
+              <h3>Сводка сессии</h3>
+              <p className="memory-summary">{snapshot.session_summary}</p>
+            </section>
+          )}
+
+          <section className="memory-section">
+            <h3>Факты ({facts.length})</h3>
+            <form className="memory-add-fact" onSubmit={handleAddFact}>
+              <input
+                value={newFact}
+                onChange={(e) => setNewFact(e.target.value)}
+                placeholder="Новый факт вручную"
+              />
+              <select
+                value={newCategory}
+                onChange={(e) => setNewCategory(e.target.value)}
+              >
+                <option value="fact">fact</option>
+                <option value="preference">preference</option>
+                <option value="person">person</option>
+                <option value="habit">habit</option>
+                <option value="project">project</option>
+              </select>
+              <button type="submit">Добавить</button>
+            </form>
+            <ul className="memory-facts-list">
+              {facts.map((fact) => (
+                <li key={fact.id}>
+                  <div className="memory-fact-meta">
+                    <span>#{fact.id}</span>
+                    <span className={`memory-source memory-source-${fact.source}`}>
+                      {fact.source}
+                    </span>
+                    <span>[{fact.category}]</span>
+                    <span>imp {fact.importance}</span>
+                  </div>
+                  <div className="memory-fact-content">{fact.content}</div>
+                  <button type="button" onClick={() => handleForget(fact.id)}>
+                    Забыть
+                  </button>
+                </li>
+              ))}
+              {facts.length === 0 && (
+                <li className="memory-empty">Фактов пока нет</li>
+              )}
+            </ul>
+          </section>
+        </>
+      )}
+    </div>
+  );
+}