lllyfff 01a89f2379
[feat] memory: pluggable MemoryManager interface for backend onboarding (#4326)
* refactor(memory): pluggable MemoryManager interface for backend onboarding

Optimize the MemoryManager interface layer so new backends (mem0/openviking)
onboard with less code and the contract stays stable as capabilities are
added. A minimal backend now implements only from_config + add + get_context
(verified by test_memory_manager_interface.py::_MinimalBackend onboarding via
the factory); the factory no longer knows a backend's private hooks.

- MemoryManager: ABC -> pydantic BaseModel; three-tier methods (tier-1
  add/get_context abstract; tier-2 management defaults; tier-3 optional hooks
  warm/reload/fact + on_pre_compress/on_turn_start). Dropped 3 self-serving
  hooks. 6 hasattr probe sites -> direct call + try/except NotImplementedError.
- from_config classmethod: factory thins to resolve + inject storage_path +
  collect host hooks + call from_config; DeerMem-specific hook consumption
  moved from factory to DeerMem.from_config.
- Invariants: @model_validator (mode='tool' requires search via supports_search
  ClassVar); DeerMemConfig storage_path-is-file check moved here from factory.
- Async: aadd/aget_context/asearch default to the sync path (speculative).
- Callbacks: MemoryCallbacks + LangfuseMemoryCallbacks; on_memory_llm_call
  subsumes tracing_callback (same signature/timing/mutation); deleted the
  tracing_callback field. DeerMem decoupled from langfuse (portability).
- noop keeps read-op empty overrides (avoids router 500s on the
  disable-memory-via-noop path); only delete/export inherit the base raise.

Behavior preserved: 661 passed / 13 skipped. Docs: backends/README.md rewritten
(three-tier + from_config + callbacks); samples README updated; removed stale
private doc paths.

Co-Authored-By: Claude <noreply@anthropic.com>

* fix(memory): 501 on unsupported read/manage endpoints + accurate warm log

Review follow-up on the three-tier MemoryManager refactor.

- Read/manage endpoints (GET /memory, /memory/export, /memory/status,
  DELETE /memory, POST /memory/import) and the /memory/reload fallback now
  catch NotImplementedError -> 501, matching the fact-CRUD endpoints. The
  hasattr->try/except migration had skipped these: they were @abstractmethod
  before (every backend implemented them, so they never raised), so once they
  became tier-2 default-raise a minimal backend (only add + get_context) hit a
  raw 500 -- there is no global NotImplementedError handler. get_memory is
  shared via _get_memory_or_501 (covers /memory, export, status, reload
  fallback). noop is unchanged: its read-op empty overrides never raise.
- warm() base default returns None (tri-state: True=warmed, False=failed,
  None=nothing to warm) so the Gateway lifespan logs "skipping" for a
  non-DeerMem backend (e.g. noop) instead of the inaccurate "warmed
  successfully" it never earned. DeerMem.warm keeps True/False.
- Tests: 6 router 501 tests (read/manage + reload fallback) + 2 lifespan
  warm-log tests (None->skipping, False->warning); conformance/pluggable
  assert warm() is None.

705 passed / 13 skipped; lint clean.

Co-Authored-By: Claude <noreply@anthropic.com>

* fix(memory): review follow-ups - search-flag consistency, client reload, backend_config purity

Address review feedback on the three-tier MemoryManager refactor:

- [Medium] supports_search/search drift: the invariant now requires the
  supports_search ClassVar flag to MATCH whether search() is actually
  overridden (type(self).search is not MemoryManager.search), so the flag
  can't drift from the impl. Catches both directions at instantiation: a
  backend that overrides search() but forgets supports_search=True (was a
  misleading tool-mode rejection), and one that sets the flag without
  overriding (was a runtime NotImplementedError on the first memory_search).
  noop sets supports_search=True to match its search() override. Conformance
  adds drift + consistent-backend tests.
- [Low] client.reload_memory fallback: wrap the get_memory fallback so a
  minimal backend (only add + get_context) surfaces a clean NotImplementedError
  ("implements neither reload_memory nor get_memory") instead of an uncaught
  propagation -- mirrors the router's 501. Test added.
- [Low] backend_config purity: DeerMem.from_config restores backend_config to
  the pure data the host passed after model_post_init parses the injected hooks
  into DeerMemConfig (self._config, PrivateAttr); the field stays serializable
  (no callables/LLM) and matches the README ("host hooks NOT in backend_config").
  Test asserts purity + hooks wired.
- [Low] CHANGELOG: breaking-change note that mode='tool' + non-search backend
  now fails fast at startup (was silently empty) so operators recognize it on
  upgrade.
- [Nit] .gitignore: drop the env-specific .tmp-pytest/ entry (--basetemp is
  local-only, not make test/CI).

709 passed / 13 skipped; lint clean.

Co-Authored-By: Claude <noreply@anthropic.com>

* docs(changelog): correct memory tool-mode fail-fast note

The CHANGELOG entry said mode='tool' + a non-search backend "(e.g. noop)"
fails fast at startup, but noop overrides search() (returns []) and sets
supports_search=True (required by the consistency invariant), so noop IS
search-capable and noop+tool does NOT fail fast. The fail-fast only affects a
custom backend that onboards without overriding search(). Reworded to drop the
misleading noop example and state both shipping backends implement search().

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-07-22 14:40:57 +08:00

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Markdown

# DeerMem portability demo (other-agent integration)
`backends/deermem/` is a **self-contained, portable** memory backend. It has
exactly **one** `from deerflow` line -- the ABC contract
(`from deerflow.agents.memory.manager import MemoryManager` in `deer_mem.py`).
Everything else is relative imports within the folder. So another agent can
adopt DeerMem in three steps, with **zero deer-flow code**.
## Three steps
1. **Vendor the host contract** -- copy `agents/memory/manager.py` (the `MemoryManager`
ABC + `get_memory_manager()` factory + `_scan_backends()`) into your agent's
tree. It is small and host-neutral (9 abstract methods + a drop-in factory).
(A minimal ABC is enough if you instantiate `DeerMem` directly.)
2. **Drop the backend** -- copy the `backends/deermem/` folder into your agent's
`backends/`. Change exactly **one line** in `deer_mem.py`:
```python
# from
from deerflow.agents.memory.manager import MemoryManager
# to (your agent's vendored contract)
from <your_agent>.memory.manager import MemoryManager
```
Nothing else in the folder needs editing (all other imports are relative).
3. **Configure** -- drop a `deermem_manager.yaml` (see below) and call
`get_memory_manager()` (or construct `DeerMem(backend_config=...)` directly).
DeerMem runs with **zero `backend_config`** (defaults: storage at
`$DEERMEM_DATA_DIR` / `~/.deermem/`, no LLM so non-LLM ops work; set `model` to
enable memory extraction). See `deermem_manager.yaml`.
## Proof
`tests/test_deermem_self_contained.py::test_portability_vendor_to_other_agent`
copies `backends/deermem/` into a temp package, repoints the one ABC import to
a minimal vendored `manager.py`, imports it, and runs an `import_memory` ->
`get_context` round-trip -- with **zero deer-flow dependency at runtime**.
## Sample config
`deermem_manager.yaml`:
```yaml
manager_class: deermem
backend_config:
storage_path: ~/.myagent/memory # empty = $DEERMEM_DATA_DIR / ~/.deermem/
model: # memory-update LLM (empty = no LLM)
provider: openai # any langchain init_chat_model provider
model: gpt-4o-mini
api_key: ${OPENAI_API_KEY}
base_url: https://api.openai.com/v1
debounce_seconds: 30
max_facts: 100
# callbacks / should_keep_hidden_message: programmatic (cannot come from
# YAML); the host factory injects them via from_config. Set programmatically
# only if overriding the host defaults.
```