feat: add team memory routes

surfsense_backend/app/routes/__init__.py

@@ -54,6 +54,7 @@ from .search_spaces_routes import router as search_spaces_router
 from .slack_add_connector_route import router as slack_add_connector_router
 from .stripe_routes import router as stripe_router
 from .surfsense_docs_routes import router as surfsense_docs_router
+from .team_memory_routes import router as team_memory_router
 from .teams_add_connector_route import router as teams_add_connector_router
 from .video_presentations_routes import router as video_presentations_router
 from .vision_llm_routes import router as vision_llm_router
@@ -117,3 +118,4 @@ router.include_router(stripe_router)  # Stripe checkout for additional page pack
 router.include_router(youtube_router)  # YouTube playlist resolution
 router.include_router(prompts_router)
 router.include_router(memory_router)  # User personal memory (memory.md style)
+router.include_router(team_memory_router)  # Search-space team memory

surfsense_backend/app/routes/memory_routes.py

@@ -1,24 +1,19 @@
-"""Routes for user memory management (personal memory.md)."""
+"""Routes for user memory management."""
 
 from __future__ import annotations
 
-import logging
-
 from fastapi import APIRouter, Depends, HTTPException
-from langchain_core.messages import HumanMessage
 from pydantic import BaseModel
 from sqlalchemy.ext.asyncio import AsyncSession
 
-from app.agents.new_chat.llm_config import (
-    create_chat_litellm_from_agent_config,
-    load_agent_llm_config_for_search_space,
-)
-from app.agents.new_chat.tools.update_memory import MEMORY_HARD_LIMIT, _save_memory
 from app.db import User, get_async_session
+from app.services.memory import (
+    MemoryScope,
+    read_memory,
+    reset_memory,
+    save_memory,
+)
 from app.users import current_active_user
-from app.utils.content_utils import extract_text_content
-
-logger = logging.getLogger(__name__)
 
 router = APIRouter()
 
@@ -31,45 +26,17 @@ class MemoryUpdate(BaseModel):
     memory_md: str
 
 
-class MemoryEditRequest(BaseModel):
-    query: str
-    search_space_id: int
-
-
-_MEMORY_EDIT_PROMPT = """\
-You are a memory editor. The user wants to modify their memory document. \
-Apply the user's instruction to the existing memory document and output the \
-FULL updated document.
-
-RULES:
-1. If the instruction asks to add something, add it with format: \
-- (YYYY-MM-DD) [fact|pref|instr] text, under an existing or new ## heading. \
-Heading names should be personal and descriptive, not generic categories.
-2. If the instruction asks to remove something, remove the matching entry.
-3. If the instruction asks to change something, update the matching entry.
-4. Preserve existing ## headings and all other entries.
-5. Every bullet must include a marker: [fact], [pref], or [instr].
-6. Use the user's first name (from <user_name>) in entries instead of "the user".
-7. Output ONLY the updated markdown — no explanations, no wrapping.
-
-<user_name>{user_name}</user_name>
-
-<current_memory>
-{current_memory}
-</current_memory>
-
-<user_instruction>
-{instruction}
-</user_instruction>"""
-
-
 @router.get("/users/me/memory", response_model=MemoryRead)
 async def get_user_memory(
     user: User = Depends(current_active_user),
     session: AsyncSession = Depends(get_async_session),
 ):
-    await session.refresh(user, ["memory_md"])
+    memory_md = await read_memory(
-    return MemoryRead(memory_md=user.memory_md or "")
+        scope=MemoryScope.USER,
+        target_id=user.id,
+        session=session,
+    )
+    return MemoryRead(memory_md=memory_md)
 
 
 @router.put("/users/me/memory", response_model=MemoryRead)
@@ -78,73 +45,27 @@ async def update_user_memory(
     user: User = Depends(current_active_user),
     session: AsyncSession = Depends(get_async_session),
 ):
-    if len(body.memory_md) > MEMORY_HARD_LIMIT:
+    result = await save_memory(
-        raise HTTPException(
+        scope=MemoryScope.USER,
-            status_code=400,
+        target_id=user.id,
-            detail=f"Memory exceeds {MEMORY_HARD_LIMIT:,} character limit ({len(body.memory_md):,} chars).",
+        content=body.memory_md,
+        session=session,
     )
-    user.memory_md = body.memory_md
+    if result.status == "error":
-    session.add(user)
+        raise HTTPException(status_code=400, detail=result.message)
-    await session.commit()
+    return MemoryRead(memory_md=result.memory_md)
-    await session.refresh(user, ["memory_md"])
-    return MemoryRead(memory_md=user.memory_md or "")
 
 
-@router.post("/users/me/memory/edit", response_model=MemoryRead)
+@router.post("/users/me/memory/reset", response_model=MemoryRead)
-async def edit_user_memory(
+async def reset_user_memory(
-    body: MemoryEditRequest,
     user: User = Depends(current_active_user),
     session: AsyncSession = Depends(get_async_session),
 ):
-    """Apply a natural language edit to the user's personal memory via LLM."""
+    result = await reset_memory(
-    agent_config = await load_agent_llm_config_for_search_space(
+        scope=MemoryScope.USER,
-        session, body.search_space_id
+        target_id=user.id,
+        session=session,
     )
-    if not agent_config:
+    if result.status == "error":
-        raise HTTPException(status_code=500, detail="No LLM configuration available.")
+        raise HTTPException(status_code=400, detail=result.message)
-    llm = create_chat_litellm_from_agent_config(agent_config)
+    return MemoryRead(memory_md=result.memory_md)
-    if not llm:
-        raise HTTPException(status_code=500, detail="Failed to create LLM instance.")
-
-    await session.refresh(user, ["memory_md", "display_name"])
-    current_memory = user.memory_md or ""
-    first_name = (
-        user.display_name.strip().split()[0]
-        if user.display_name and user.display_name.strip()
-        else "The user"
-    )
-
-    prompt = _MEMORY_EDIT_PROMPT.format(
-        current_memory=current_memory or "(empty)",
-        instruction=body.query,
-        user_name=first_name,
-    )
-    try:
-        response = await llm.ainvoke(
-            [HumanMessage(content=prompt)],
-            config={"tags": ["surfsense:internal", "memory-edit"]},
-        )
-        updated = extract_text_content(response.content).strip()
-    except Exception as e:
-        logger.exception("Memory edit LLM call failed: %s", e)
-        raise HTTPException(status_code=500, detail="Memory edit failed.") from e
-
-    if not updated:
-        raise HTTPException(status_code=400, detail="LLM returned empty result.")
-
-    result = await _save_memory(
-        updated_memory=updated,
-        old_memory=current_memory,
-        llm=llm,
-        apply_fn=lambda content: setattr(user, "memory_md", content),
-        commit_fn=session.commit,
-        rollback_fn=session.rollback,
-        label="memory",
-        scope="user",
-    )
-
-    if result.get("status") == "error":
-        raise HTTPException(status_code=400, detail=result["message"])
-
-    await session.refresh(user, ["memory_md"])
-    return MemoryRead(memory_md=user.memory_md or "")

surfsense_backend/app/routes/search_spaces_routes.py

@@ -1,17 +1,10 @@
 import logging
 
 from fastapi import APIRouter, Depends, HTTPException
-from langchain_core.messages import HumanMessage
-from pydantic import BaseModel as PydanticBaseModel
 from sqlalchemy import func, update
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy.future import select
 
-from app.agents.new_chat.llm_config import (
-    create_chat_litellm_from_agent_config,
-    load_agent_llm_config_for_search_space,
-)
-from app.agents.new_chat.tools.update_memory import MEMORY_HARD_LIMIT, _save_memory
 from app.config import config
 from app.db import (
     ImageGenerationConfig,
@@ -35,7 +28,6 @@ from app.schemas import (
     SearchSpaceWithStats,
 )
 from app.users import current_active_user
-from app.utils.content_utils import extract_text_content
 from app.utils.rbac import check_permission, check_search_space_access
 
 logger = logging.getLogger(__name__)
@@ -43,34 +35,6 @@ logger = logging.getLogger(__name__)
 router = APIRouter()
 
 
-class _TeamMemoryEditRequest(PydanticBaseModel):
-    query: str
-
-
-_TEAM_MEMORY_EDIT_PROMPT = """\
-You are a memory editor for a team workspace. The user wants to modify the \
-team's shared memory document. Apply the user's instruction to the existing \
-memory document and output the FULL updated document.
-
-RULES:
-1. If the instruction asks to add something, add it with format: \
-- (YYYY-MM-DD) [fact] text, under an existing or new ## heading. \
-Heading names should be descriptive, not generic categories.
-2. If the instruction asks to remove something, remove the matching entry.
-3. If the instruction asks to change something, update the matching entry.
-4. Preserve existing ## headings and all other entries.
-5. NEVER use [pref] or [instr] markers. Team memory uses [fact] only.
-6. Output ONLY the updated markdown — no explanations, no wrapping.
-
-<current_memory>
-{current_memory}
-</current_memory>
-
-<user_instruction>
-{instruction}
-</user_instruction>"""
-
-
 async def create_default_roles_and_membership(
     session: AsyncSession,
     search_space_id: int,
@@ -294,15 +258,6 @@ async def update_search_space(
 
         update_data = search_space_update.model_dump(exclude_unset=True)
 
-        if (
-            "shared_memory_md" in update_data
-            and len(update_data["shared_memory_md"] or "") > MEMORY_HARD_LIMIT
-        ):
-            raise HTTPException(
-                status_code=400,
-                detail=f"Team memory exceeds {MEMORY_HARD_LIMIT:,} character limit.",
-            )
-
         for key, value in update_data.items():
             setattr(db_search_space, key, value)
         await session.commit()
@@ -317,72 +272,6 @@ async def update_search_space(
         ) from e
 
 
-@router.post(
-    "/searchspaces/{search_space_id}/memory/edit",
-    response_model=SearchSpaceRead,
-)
-async def edit_team_memory(
-    search_space_id: int,
-    body: _TeamMemoryEditRequest,
-    session: AsyncSession = Depends(get_async_session),
-    user: User = Depends(current_active_user),
-):
-    """Apply a natural language edit to the team memory via LLM."""
-    await check_search_space_access(session, user, search_space_id)
-
-    agent_config = await load_agent_llm_config_for_search_space(
-        session, search_space_id
-    )
-    if not agent_config:
-        raise HTTPException(status_code=500, detail="No LLM configuration available.")
-    llm = create_chat_litellm_from_agent_config(agent_config)
-    if not llm:
-        raise HTTPException(status_code=500, detail="Failed to create LLM instance.")
-
-    result = await session.execute(
-        select(SearchSpace).filter(SearchSpace.id == search_space_id)
-    )
-    db_search_space = result.scalars().first()
-    if not db_search_space:
-        raise HTTPException(status_code=404, detail="Search space not found")
-
-    current_memory = db_search_space.shared_memory_md or ""
-
-    prompt = _TEAM_MEMORY_EDIT_PROMPT.format(
-        current_memory=current_memory or "(empty)",
-        instruction=body.query,
-    )
-    try:
-        response = await llm.ainvoke(
-            [HumanMessage(content=prompt)],
-            config={"tags": ["surfsense:internal", "memory-edit"]},
-        )
-        updated = extract_text_content(response.content).strip()
-    except Exception as e:
-        logger.exception("Team memory edit LLM call failed: %s", e)
-        raise HTTPException(status_code=500, detail="Team memory edit failed.") from e
-
-    if not updated:
-        raise HTTPException(status_code=400, detail="LLM returned empty result.")
-
-    save_result = await _save_memory(
-        updated_memory=updated,
-        old_memory=current_memory,
-        llm=llm,
-        apply_fn=lambda content: setattr(db_search_space, "shared_memory_md", content),
-        commit_fn=session.commit,
-        rollback_fn=session.rollback,
-        label="team memory",
-        scope="team",
-    )
-
-    if save_result.get("status") == "error":
-        raise HTTPException(status_code=400, detail=save_result["message"])
-
-    await session.refresh(db_search_space)
-    return db_search_space
-
-
 @router.post("/searchspaces/{search_space_id}/ai-sort")
 async def trigger_ai_sort(
     search_space_id: int,

surfsense_backend/app/routes/team_memory_routes.py

@@ -0,0 +1,78 @@
+"""Routes for search-space team memory."""
+
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.db import User, get_async_session
+from app.services.memory import (
+    MemoryScope,
+    read_memory,
+    reset_memory,
+    save_memory,
+)
+from app.users import current_active_user
+from app.utils.rbac import check_search_space_access
+
+router = APIRouter()
+
+
+class TeamMemoryRead(BaseModel):
+    memory_md: str
+
+
+class TeamMemoryUpdate(BaseModel):
+    memory_md: str
+
+
+@router.get("/searchspaces/{search_space_id}/memory", response_model=TeamMemoryRead)
+async def get_team_memory(
+    search_space_id: int,
+    session: AsyncSession = Depends(get_async_session),
+    user: User = Depends(current_active_user),
+):
+    await check_search_space_access(session, user, search_space_id)
+    memory_md = await read_memory(
+        scope=MemoryScope.TEAM,
+        target_id=search_space_id,
+        session=session,
+    )
+    return TeamMemoryRead(memory_md=memory_md)
+
+
+@router.put("/searchspaces/{search_space_id}/memory", response_model=TeamMemoryRead)
+async def update_team_memory(
+    search_space_id: int,
+    body: TeamMemoryUpdate,
+    session: AsyncSession = Depends(get_async_session),
+    user: User = Depends(current_active_user),
+):
+    await check_search_space_access(session, user, search_space_id)
+    result = await save_memory(
+        scope=MemoryScope.TEAM,
+        target_id=search_space_id,
+        content=body.memory_md,
+        session=session,
+    )
+    if result.status == "error":
+        raise HTTPException(status_code=400, detail=result.message)
+    return TeamMemoryRead(memory_md=result.memory_md)
+
+
+@router.post("/searchspaces/{search_space_id}/memory/reset", response_model=TeamMemoryRead)
+async def reset_team_memory(
+    search_space_id: int,
+    session: AsyncSession = Depends(get_async_session),
+    user: User = Depends(current_active_user),
+):
+    await check_search_space_access(session, user, search_space_id)
+    result = await reset_memory(
+        scope=MemoryScope.TEAM,
+        target_id=search_space_id,
+        session=session,
+    )
+    if result.status == "error":
+        raise HTTPException(status_code=400, detail=result.message)
+    return TeamMemoryRead(memory_md=result.memory_md)

surfsense_backend/app/schemas/search_space.py

@@ -21,7 +21,6 @@ class SearchSpaceUpdate(BaseModel):
     description: str | None = None
     citations_enabled: bool | None = None
     qna_custom_instructions: str | None = None
-    shared_memory_md: str | None = None
     ai_file_sort_enabled: bool | None = None