bytedance/deer-flow · error · MemoryManagerError

mem0 write failed: {e}

Error message

mem0 write failed: {e}

What it means

Error "mem0 write failed: {e}" thrown in bytedance/deer-flow.

Source

Thrown at backend/packages/harness/deerflow/agents/memory/backends/mem0/mem0_manager.py:126

    # ── Error policies ───────────────────────────────────────────────────
    def _read_or_fallback(self, fallback: Any, fn: Any) -> Any:
        try:
            return fn()
        except Mem0APIError as e:
            if self._config.read_policy == "fail_open":
                logger.warning("mem0 read failed (%s); continuing without memory", e)
                return fallback
            raise MemoryManagerError(f"mem0 read failed: {e}") from e

    def _write_or_drop(self, fn: Any) -> None:
        try:
            fn()
        except Mem0APIError as e:
            if self._config.write_policy == "log_and_drop":
                logger.warning("mem0 write failed (%s); dropping update", e)
                return
            raise MemoryManagerError(f"mem0 write failed: {e}") from e

    # ── Tier 1: write ────────────────────────────────────────────────────
    def add(
        self,
        thread_id: str,
        messages: list[Any],
        *,
        agent_name: str | None = None,
        user_id: str | None = None,
        trace_id: str | None = None,
    ) -> None:
        """Submit the filtered conversation to mem0 for server-side extraction.

        Fire-and-forget: mem0 processes asynchronously (response event_id is
        not polled). ``thread_id`` maps to mem0 ``run_id`` and always satisfies
        mem0's at-least-one-entity-id requirement.
        """
        kept = filter_messages_for_memory(messages)

View on GitHub (pinned to 1dd6ba1acb)

Solutions

1. Check mem0 service reachability and API key validity; the underlying error is named in the message.
2. With failure_policy.write=log_and_drop the write is dropped; switch to raise during debugging.

When it happens

Trigger: Thrown at backend/packages/harness/deerflow/agents/memory/backends/mem0/mem0_manager.py:126 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of bytedance/deer-flow@1dd6ba1acb (2026-08-14). Data as JSON: /api/errors/7b38868b85f062d2. Report an issue: GitHub.