refactor(integrations): rename dsh-mem0 to deepseek-plugin, strands-mem0 to mem0-strands (#7098)

This commit is contained in:
Kartik
2026-08-24 19:21:23 +05:30
committed by GitHub
parent dc82354e14
commit b717e38785
43 changed files with 127 additions and 127 deletions
@@ -0,0 +1,26 @@
"""Strands Mem0 -- persistent long-term memory for Strands agents, backed by Mem0.
:class:`Mem0MemoryStore` is a Strands ``MemoryStore`` that plugs into the agent
loop via a :class:`~strands.memory.MemoryManager`, with automatic memory injection
and extraction. It implements both write sinks, so ``extraction`` uses Mem0's
server-side extraction (no extra model call).
For the explicit, model-called tool (``store`` / ``retrieve`` / ``get`` / ``delete``),
use the ``mem0_memory`` tool from ``strands-agents-tools``; a store and the tool can
share one Mem0 backend and namespace.
"""
from importlib.metadata import PackageNotFoundError, version
from mem0_strands.client import Mem0ServiceClient
from mem0_strands.store import Mem0MemoryStore
__all__ = [
"Mem0MemoryStore",
"Mem0ServiceClient",
]
try:
__version__ = version("mem0-strands")
except PackageNotFoundError: # pragma: no cover - only when running from a source tree
__version__ = "0.0.0+unknown"
@@ -0,0 +1,176 @@
"""A thin wrapper around the Mem0 SDK used by :class:`~mem0_strands.store.Mem0MemoryStore`.
Both Mem0 backends -- the hosted platform (:class:`mem0.MemoryClient`) and
self-hosted OSS (:class:`mem0.Memory`) -- expose the same call shape to the store:
- **search** takes the entity scope inside a ``filters`` dict plus ``top_k``.
- **add** takes the entity scope as top-level keyword arguments.
The wrapper hides the two remaining differences:
- ``app_id`` is a platform-only scope; OSS ``Memory.add`` has no ``app_id``
parameter, so it is rejected up front for the OSS backend rather than surfacing
as a ``TypeError`` mid-call.
- the telemetry ``source`` tag is attached to platform writes only (OSS
``Memory.add`` has a fixed signature and would reject an unknown kwarg).
"""
from __future__ import annotations
import inspect
import os
from typing import Any
# Only the synchronous platform client is supported. ``AsyncMemoryClient``'s
# ``add`` / ``search`` are coroutine functions, so ``asyncio.to_thread`` would hand
# back an un-awaited coroutine and every write would silently no-op; it is rejected
# in ``__init__`` rather than listed here.
_PLATFORM_CLIENTS = {"MemoryClient"}
# Tags platform writes so Mem0's backend attributes the memory to this integration
# in telemetry (recognized values live in the backend's KNOWN_EVENT_SOURCES
# allowlist; unknown ones bucket into "OTHERS"). Platform only.
_SOURCE = "STRANDS"
def _is_platform_client(client: Any) -> bool:
"""Whether ``client`` is a hosted Mem0 platform client (vs an OSS ``Memory``)."""
return type(client).__name__ in _PLATFORM_CLIENTS
def _is_async_client(client: Any) -> bool:
"""Whether ``client``'s ``add`` / ``search`` are coroutine functions."""
return inspect.iscoroutinefunction(getattr(client, "add", None)) or inspect.iscoroutinefunction(
getattr(client, "search", None)
)
class Mem0ServiceClient:
"""Thin wrapper around the Mem0 SDK for the memory store.
Exactly one backend is selected at construction time:
- ``client`` given: use it as-is (a :class:`mem0.MemoryClient` or
:class:`mem0.Memory`); mainly for testing and advanced/OSS setups.
- ``config`` given: build a self-hosted :class:`mem0.Memory` from it.
- otherwise: build a hosted :class:`mem0.MemoryClient` from ``api_key`` /
``$MEM0_API_KEY`` (and optional ``host``).
"""
def __init__(
self,
api_key: str | None = None,
host: str | None = None,
config: dict[str, Any] | None = None,
client: Any | None = None,
) -> None:
"""Initialize the Mem0 client.
Args:
api_key: Mem0 platform API key. Falls back to ``$MEM0_API_KEY``.
host: Mem0 platform base URL. Defaults to the SDK default
(``https://api.mem0.ai``).
config: A Mem0 OSS config dict; when given, a self-hosted
:class:`mem0.Memory` is built instead of the platform client.
client: A pre-built Mem0 client to use directly (platform or OSS).
Raises:
ValueError: If ``client`` is an async Mem0 client (its coroutines
would never be awaited off the worker thread).
"""
if client is not None:
if _is_async_client(client):
raise ValueError(
"Async Mem0 clients are not supported. Pass a synchronous "
"mem0.MemoryClient (or a mem0.Memory / config): the store runs the "
"SDK in a worker thread, so an async client's coroutines would "
"never be awaited and every write would silently no-op."
)
self.mem0 = client
self.is_platform = _is_platform_client(client)
return
if config is not None:
try:
from mem0 import Memory
except ImportError as err: # pragma: no cover - exercised via install docs
raise ImportError(
"The mem0ai package is required. Install it with: pip install 'mem0-strands'"
) from err
self.mem0 = Memory.from_config(config)
self.is_platform = False
return
try:
from mem0 import MemoryClient
except ImportError as err: # pragma: no cover - exercised via install docs
raise ImportError("The mem0ai package is required. Install it with: pip install 'mem0-strands'") from err
api_key = api_key or os.environ.get("MEM0_API_KEY")
# MemoryClient(host=None) would override the SDK default with None, so only
# pass host when the caller actually set one.
self.mem0 = MemoryClient(api_key=api_key, host=host) if host else MemoryClient(api_key=api_key)
self.is_platform = True
def _check_scope(self, scope: dict[str, str]) -> None:
"""Reject scope the selected backend cannot honor.
``app_id`` exists only on the platform; the OSS ``Memory`` API has no
``app_id`` parameter, so we fail loudly here rather than let it surface as
a ``TypeError`` on ``add`` or silently miss on ``search``.
"""
if not self.is_platform and "app_id" in scope:
raise ValueError(
"app_id is a Mem0 platform-only scope. The OSS backend supports "
"user_id, agent_id, and run_id; drop app_id or use the platform client."
)
def _write_extras(self) -> dict[str, str]:
"""Extra kwargs attached to platform writes: the telemetry ``source`` tag."""
return {"source": _SOURCE} if self.is_platform else {}
def store_memory(
self,
content: str,
scope: dict[str, str],
metadata: dict[str, Any] | None = None,
) -> Any:
"""Store one discrete fact verbatim (``infer=False``).
Used by the store's ``add`` sink -- the content is already a distilled fact
(from the ``add_memory`` tool or a client-side extractor), so Mem0's own
extraction is skipped to preserve it exactly.
"""
self._check_scope(scope)
return self.mem0.add(content, metadata=metadata, infer=False, **self._write_extras(), **scope)
def store_messages(self, messages: list[dict[str, Any]], scope: dict[str, str]) -> Any:
"""Hand rendered conversation turns to Mem0 for server-side extraction (``infer=True``).
Used by the store's ``add_messages`` sink. Mem0 extracts and de-duplicates
facts on the server, so no client-side model call is needed.
"""
self._check_scope(scope)
return self.mem0.add(messages, infer=True, **self._write_extras(), **scope)
def search_memories(self, query: str, scope: dict[str, str], top_k: int) -> list[dict[str, Any]]:
"""Semantic recall scoped to the store's entity.
Both backends take the scope inside ``filters`` and honor ``top_k``; the
response is normalized to a plain list of memory dicts.
"""
self._check_scope(scope)
response = self.mem0.search(query, filters=dict(scope), top_k=top_k)
return _extract_results(response)
def _extract_results(response: Any) -> list[dict[str, Any]]:
"""Normalize a Mem0 search response to a list of memory dicts.
Mem0 returns ``{"results": [...]}`` (v1.1) or, on older paths, a bare list.
"""
if isinstance(response, dict):
results = response.get("results", [])
return list(results) if isinstance(results, list) else []
if isinstance(response, list):
return response
return []
@@ -0,0 +1,222 @@
"""A Strands ``MemoryStore`` backed by Mem0.
A memory store gives a Strands agent cross-session recall: a
:class:`~strands.memory.MemoryManager` searches it to recall facts and, when
writable, writes new ones -- either directly or via automatic extraction from the
conversation. Unlike the ``mem0_memory`` tool (which the model calls explicitly),
a store plugs into the agent loop out of the box, with memory injection and
extraction triggers handled by the manager.
``Mem0MemoryStore`` implements both write sinks, which is what sets it apart from a
vector-DB-style store:
- :meth:`add` writes a single distilled fact verbatim (``infer=False``). This is
the sink for the ``add_memory`` tool and for a client-side extractor.
- :meth:`add_messages` renders raw conversation turns to text and hands them to
Mem0 for **server-side extraction** (``infer=True``). Because this sink exists,
enabling ``extraction`` routes messages straight to Mem0's own extraction
pipeline -- no extra client-side model call, and Mem0's de-duplication applies.
Example:
```python
from strands import Agent
from strands.memory import MemoryManager
from mem0_strands import Mem0MemoryStore
# Recall + write, with Mem0 extracting facts from the conversation server-side.
store = Mem0MemoryStore(user_id="alex", writable=True, extraction=True)
agent = Agent(memory_manager=MemoryManager(stores=[store]))
```
Configure the hosted platform via the ``api_key`` argument or the ``MEM0_API_KEY``
environment variable, or pass a Mem0 OSS ``config`` dict for a self-hosted backend.
``app_id`` scope is platform-only.
"""
from __future__ import annotations
import asyncio
from typing import Any
from strands.memory import AddMessagesContext, MemoryEntry, MemoryStore, SearchOptions
from strands.types.content import Message
from mem0_strands.client import Mem0ServiceClient
DEFAULT_MAX_SEARCH_RESULTS = 5
# Entity fields that scope a memory in Mem0. At least one must be set.
_SCOPE_FIELDS = ("user_id", "agent_id", "run_id", "app_id")
class Mem0MemoryStore(MemoryStore):
"""A Strands :class:`~strands.memory.MemoryStore` backed by Mem0.
Implements :meth:`search` (semantic recall), :meth:`add` (a verbatim
single-fact write sink) and :meth:`add_messages` (raw-message ingestion with
Mem0 server-side extraction). Because ``add_messages`` is implemented, enabling
``extraction`` uses Mem0's server-side extraction rather than a client-side
model call.
"""
def __init__(
self,
*,
user_id: str | None = None,
agent_id: str | None = None,
run_id: str | None = None,
app_id: str | None = None,
name: str = "mem0",
description: str | None = "Persistent long-term memory backed by Mem0.",
max_search_results: int | None = None,
writable: bool = True,
extraction: Any = None,
metadata: dict[str, Any] | None = None,
api_key: str | None = None,
host: str | None = None,
config: dict[str, Any] | None = None,
client: Mem0ServiceClient | None = None,
) -> None:
"""Initialize the store.
Args:
user_id: Mem0 user namespace that owns the memories.
agent_id: Mem0 agent namespace.
run_id: Mem0 run/session namespace.
app_id: Mem0 app namespace (platform only).
name: Unique store identifier, used to target it in tools.
description: Human-readable description, included in tool descriptions.
max_search_results: Default maximum results per search.
writable: Whether the store accepts writes.
extraction: Automatic-extraction config (``bool | ExtractionConfig``).
metadata: Default metadata merged into every write.
api_key: Mem0 platform API key (defaults to ``$MEM0_API_KEY``).
host: Mem0 platform base URL.
config: Mem0 OSS config dict for a self-hosted backend.
client: A pre-built :class:`~mem0_strands.client.Mem0ServiceClient`
(for testing, or to wrap your own raw Mem0 client via
``Mem0ServiceClient(client=...)``); when omitted, one is
constructed lazily on first use from ``api_key`` / ``config``.
Raises:
ValueError: If no entity scope (``user_id`` / ``agent_id`` / ``run_id``
/ ``app_id``) is provided.
"""
scope = {
"user_id": user_id,
"agent_id": agent_id,
"run_id": run_id,
"app_id": app_id,
}
self.scope = {key: value for key, value in scope.items() if value}
if not self.scope:
raise ValueError("Mem0MemoryStore requires at least one of user_id, agent_id, run_id, or app_id")
# app_id is platform-only. When a self-hosted OSS backend is requested via
# `config`, fail at construction rather than as a TypeError on the first
# write (OSS Memory.add has no app_id). The injected-client OSS case is
# caught in Mem0ServiceClient, which is the only place that knows the backend.
if "app_id" in self.scope and config is not None:
raise ValueError(
"app_id is a Mem0 platform-only scope and cannot be used with a self-hosted "
"config (OSS Memory has no app_id). Drop app_id or use the platform backend."
)
# MemoryStore Protocol attributes.
self.name = name
self.description = description
self.max_search_results = max_search_results
self.writable = writable
self.extraction = extraction
# Mem0-specific configuration.
self.metadata = metadata
self._api_key = api_key
self._host = host
self._config = config
self._client = client
@property
def client(self) -> Mem0ServiceClient:
"""The Mem0 service client, constructed lazily on first use.
Note: constructing the underlying SDK client can block (the platform client
validates the API key over HTTP; the OSS client builds embedders / vector
stores), so first use is deferred and always happens inside a worker thread
via :func:`asyncio.to_thread`, never on the event loop.
"""
if self._client is None:
self._client = Mem0ServiceClient(api_key=self._api_key, host=self._host, config=self._config)
return self._client
async def search(self, query: str, options: SearchOptions | None = None) -> list[MemoryEntry]:
"""Search Mem0 for entries matching ``query``, ordered by relevance."""
top_k = options.get("max_search_results") if options is not None else None
if top_k is None:
top_k = self.max_search_results
if top_k is None:
top_k = DEFAULT_MAX_SEARCH_RESULTS
# ``self.client`` is resolved inside the thread so lazy construction (a
# blocking call) does not run on the event loop.
memories = await asyncio.to_thread(lambda: self.client.search_memories(query, self.scope, top_k))
return [self._to_entry(memory) for memory in memories]
async def add(self, content: str, metadata: dict[str, Any] | None = None) -> Any:
"""Write a single distilled fact to Mem0 verbatim (``infer=False``).
Extraction writes are at-least-once, so this tolerates duplicate content;
Mem0 de-duplicates on the server.
"""
merged = self._merge_metadata(metadata)
return await asyncio.to_thread(lambda: self.client.store_memory(content, self.scope, merged))
async def add_messages(self, messages: list[Message], context: AddMessagesContext | None = None) -> Any:
"""Ingest raw conversation turns for Mem0 server-side extraction (``infer=True``).
A Strands ``Message.content`` is a list of content blocks (a text block is
``{"text": "..."}``); Mem0 keeps only ``{"type": "text"}`` parts, so the raw
blocks would be dropped. We render each turn's text blocks to a string and
skip turns that render empty (a pure tool-use / tool-result turn), so nothing
silently no-ops.
"""
payload: list[dict[str, str]] = []
for message in messages:
text = self._render_content(message.get("content"))
if text:
payload.append({"role": message["role"], "content": text})
if not payload:
return None
return await asyncio.to_thread(lambda: self.client.store_messages(payload, self.scope))
@staticmethod
def _render_content(content: Any) -> str:
"""Flatten a Strands message ``content`` to plain text.
Accepts either a string or a list of content blocks; joins the text of
every ``{"text": ...}`` block and ignores tool-use / image / other blocks.
"""
if isinstance(content, str):
return content
if isinstance(content, list):
return "\n".join(part["text"] for part in content if isinstance(part, dict) and part.get("text"))
return ""
def _merge_metadata(self, metadata: dict[str, Any] | None) -> dict[str, Any] | None:
"""Merge per-call metadata over the store's default metadata."""
if self.metadata and metadata:
return {**self.metadata, **metadata}
return metadata or self.metadata
@staticmethod
def _to_entry(memory: dict[str, Any]) -> MemoryEntry:
"""Map a Mem0 memory dict to a Strands :class:`~strands.memory.MemoryEntry`."""
content = memory.get("memory") or memory.get("content") or ""
metadata: dict[str, Any] = {}
for key in ("id", "score", "categories", "created_at", "updated_at", *_SCOPE_FIELDS):
value = memory.get(key)
if value is not None:
metadata[key] = value
extra = memory.get("metadata")
if isinstance(extra, dict):
metadata.update(extra)
return MemoryEntry(content=content, metadata=metadata or None)