mem0-strands

Persistent long-term memory for Strands Agents, backed by Mem0

A community Strands Agents integration that plugs Mem0 in as a first-class MemoryStore.

--- `mem0-strands` gives [Strands](https://github.com/strands-agents/sdk-python) agents durable memory that survives across sessions, backed by [Mem0](https://mem0.ai). Where the `mem0_memory` tool is called explicitly by the model, `Mem0MemoryStore` plugs into the **agent loop** directly: the manager recalls context and injects it automatically, and writes new memories, either verbatim or by extracting facts from the conversation. - **Automatic recall + injection** — relevant memories are searched and prepended to the prompt every turn, no tool call required. - **Server-side extraction** — raw conversation turns are handed to Mem0, which distills and de-duplicates facts on its own pipeline (no extra client-side model call). - **Hosted or self-hosted** — the managed [Mem0 Platform](https://app.mem0.ai) by default, or your own Mem0 OSS backend via a config dict. ## Install ```bash pip install mem0-strands ``` ## Usage ```python from strands import Agent from strands.memory import MemoryManager from mem0_strands import Mem0MemoryStore # Recall + write, distilling facts from the conversation via Mem0's server-side extraction. store = Mem0MemoryStore(user_id="alex", writable=True, extraction=True) agent = Agent(memory_manager=MemoryManager(stores=[store])) # The agent now recalls from and writes to Mem0 without any explicit tool call. agent("Remember that I prefer dark-mode dashboards and only drink oat milk.") agent("How do I like my dashboards?") # recalls the stored preference ``` Set `MEM0_API_KEY` for the hosted platform (get one at [app.mem0.ai](https://app.mem0.ai)), or pass `api_key=...`. For a self-hosted Mem0 OSS backend, pass a `config=...` dict instead. ## How it works `Mem0MemoryStore` implements all three `MemoryStore` hooks: | Method | Maps to | When it runs | |---|---|---| | `search(query)` | `mem0.search(query, filters={...})` | Every turn, to recall and inject context | | `add(content)` | `mem0.add(content, infer=False)` | The `add_memory` tool / a client-side extractor — stores a fact verbatim | | `add_messages(messages)` | `mem0.add(rendered_turns, infer=True)` | Extraction — renders conversation turns to text, then hands them to Mem0's **server-side** extraction | Because `add_messages` is implemented, enabling `extraction` routes conversation turns straight to Mem0's own extraction pipeline. A store that only implemented `add` would instead need a client-side `ModelExtractor` (an extra model call) to distill facts first. ### Configuration | Argument | Default | Description | |---|---|---| | `user_id` / `agent_id` / `run_id` / `app_id` | _(at least one required)_ | Mem0 entity scope that owns the memories | | `name` | `"mem0"` | Store identifier, used to target it from memory tools | | `writable` | `True` | Whether the manager may write to the store | | `extraction` | `None` | Automatic extraction (`bool` or `ExtractionConfig`) | | `max_search_results` | `None` | Default result cap per search (falls back to 5) | | `metadata` | `None` | Default metadata merged into every write | | `api_key` / `host` | env | Mem0 platform key / base URL (`api_key` defaults to `$MEM0_API_KEY`) | | `config` | `None` | Mem0 OSS config dict for a self-hosted backend | ## The explicit tool For the model-called tool (`store` / `retrieve` / `get` / `delete`), use the [`mem0_memory`](https://github.com/strands-agents/tools) tool from `strands-agents-tools`. The store and the tool share one Mem0 backend and namespace. ## Telemetry The store sends usage events (store configuration, operation, duration, result counts, coarse failure kind) over the Mem0 SDK's existing telemetry client, tagged `source="STRANDS"`. These are **not anonymous**: when an API key is configured they are sent under your Mem0 account email, the same way the SDK attributes its own. Queries, memory text, message content, entity ids, and metadata are never sent. Turn it off with `MEM0_TELEMETRY=false`. ## Development The package lives under [`python/`](python/) (monorepo-style layout matching the [Strands extension-template](https://github.com/strands-agents/extension-template)). ```bash cd python pip install hatch hatch run test # pytest (no live server required — mocked client) hatch run prepare # format + lint + typecheck + test ``` ## License [Apache-2.0](LICENSE). Mem0 is a trademark of its respective owner. Strands Agents is a project of its respective authors.