diff --git a/packages/powermem-langchain/src/powermem_langchain/middleware.py b/packages/powermem-langchain/src/powermem_langchain/middleware.py
index 59c43c99f5..b668fefa39 100644
--- a/packages/powermem-langchain/src/powermem_langchain/middleware.py
+++ b/packages/powermem-langchain/src/powermem_langchain/middleware.py
@@ -1,31 +1,37 @@
-"""LangChain middleware entry point for PowerMem.
-
-The VLDB 2026 summer school branch intentionally provides only the public entry
-point. Students are expected to replace this placeholder with a LangChain
-middleware implementation that satisfies the package contract tests.
-"""
+"""LangChain middleware that provides PowerMem-backed long-term memory."""
 
 from __future__ import annotations
 
+import asyncio
+import logging
 from typing import Any, NotRequired, TypedDict
 
-from langchain.agents.middleware import AgentMiddleware, AgentState
+from langchain.agents.middleware import (
+    AgentMiddleware,
+    AgentState,
+    ModelRequest,
+    ModelResponse,
+)
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
+
+
+logger = logging.getLogger(__name__)
 
 
 class PowerMemState(AgentState):
-    """State schema reserved for the PowerMem middleware implementation."""
+    """Agent state extended with formatted long-term-memory context."""
 
     powermem_context: NotRequired[str]
 
 
 class PowerMemStateUpdate(TypedDict):
-    """State update returned by memory-loading middleware hooks."""
+    """State update returned after loading memories."""
 
     powermem_context: str
 
 
 class PowerMemMiddleware(AgentMiddleware[PowerMemState, Any, Any]):
-    """Placeholder for the summer school implementation."""
+    """Retrieve PowerMem context and persist completed agent interactions."""
 
     state_schema = PowerMemState
 
@@ -38,17 +44,109 @@ def __init__(
         save_interactions: bool = True,
         **kwargs: Any,
     ) -> None:
-        pass
-
-    def before_agent(self, state: PowerMemState, runtime) -> PowerMemStateUpdate | None:
-        pass
+        if memory is None:
+            raise ValueError("memory must not be None")
+        if not isinstance(user_id, str) or not user_id.strip():
+            raise ValueError("user_id must be a non-empty string")
+        if not isinstance(search_limit, int) or isinstance(search_limit, bool) or search_limit <= 0:
+            raise ValueError("search_limit must be a positive integer")
+        if kwargs:
+            names = ", ".join(sorted(kwargs))
+            raise TypeError(f"unexpected middleware arguments: {names}")
+
+        self.memory = memory
+        self.user_id = user_id
+        self.search_limit = search_limit
+        self.save_interactions = save_interactions
+
+    @staticmethod
+    def _message_text(message: BaseMessage) -> str:
+        return message.text.strip()
+
+    @classmethod
+    def _latest_message(cls, state: PowerMemState, message_type: type[BaseMessage]) -> str | None:
+        for message in reversed(state.get("messages", [])):
+            if isinstance(message, message_type):
+                text = cls._message_text(message)
+                if text:
+                    return text
+        return None
+
+    @staticmethod
+    def _format_memories(result: Any) -> str:
+        if not isinstance(result, dict):
+            return ""
+        memories: list[str] = []
+        for item in result.get("results", []):
+            if isinstance(item, dict):
+                value = item.get("memory") or item.get("content")
+                if value is not None and str(value).strip():
+                    memories.append(str(value).strip())
+        if not memories:
+            return ""
+        body = "\n".join(f"- {memory}" for memory in memories)
+        return f"Relevant long-term memories for this user:\n{body}"
+
+    def _load_context(self, state: PowerMemState) -> str:
+        query = self._latest_message(state, HumanMessage)
+        if not query:
+            return ""
+        try:
+            result = self.memory.search(
+                query,
+                user_id=self.user_id,
+                limit=self.search_limit,
+            )
+        except Exception:
+            logger.warning("PowerMem search failed; continuing without memory", exc_info=True)
+            return ""
+        return self._format_memories(result)
+
+    def before_agent(self, state: PowerMemState, runtime: Any) -> PowerMemStateUpdate:
+        return {"powermem_context": self._load_context(state)}
 
     async def abefore_agent(
         self,
         state: PowerMemState,
-        runtime,
-    ) -> PowerMemStateUpdate | None:
-        pass
-
-    def after_agent(self, state: PowerMemState, runtime) -> None:
-        pass
+        runtime: Any,
+    ) -> PowerMemStateUpdate:
+        context = await asyncio.to_thread(self._load_context, state)
+        return {"powermem_context": context}
+
+    @staticmethod
+    def _request_with_context(request: ModelRequest[Any]) -> ModelRequest[Any]:
+        context = request.state.get("powermem_context", "")
+        if not context:
+            return request
+        return request.override(messages=[SystemMessage(content=context), *request.messages])
+
+    def wrap_model_call(self, request: ModelRequest[Any], handler: Any) -> ModelResponse:
+        return handler(self._request_with_context(request))
+
+    async def awrap_model_call(self, request: ModelRequest[Any], handler: Any) -> ModelResponse:
+        return await handler(self._request_with_context(request))
+
+    def _save_interaction(self, state: PowerMemState) -> None:
+        if not self.save_interactions:
+            return
+        user_text = self._latest_message(state, HumanMessage)
+        assistant_text = self._latest_message(state, AIMessage)
+        if not user_text or not assistant_text:
+            return
+        try:
+            self.memory.add(
+                [
+                    {"role": "user", "content": user_text},
+                    {"role": "assistant", "content": assistant_text},
+                ],
+                user_id=self.user_id,
+                infer=False,
+            )
+        except Exception:
+            logger.warning("PowerMem write-back failed; returning agent result", exc_info=True)
+
+    def after_agent(self, state: PowerMemState, runtime: Any) -> None:
+        self._save_interaction(state)
+
+    async def aafter_agent(self, state: PowerMemState, runtime: Any) -> None:
+        await asyncio.to_thread(self._save_interaction, state)