OpenBMB/ChatDev · error · ValueError

FileMemory requires a file memory store configuration

Error message

FileMemory requires a file memory store configuration

What it means

FileMemory requires the store config to include a FileMemoryConfig section. store.as_config(FileMemoryConfig) returning None means the MemoryStoreConfig is typed for another memory backend, so the constructor rejects it.

Solutions

Set the store type to 'file' in the memory configuration
Prefer create_memory(store) so dispatch follows the config type
Check for typos/case in the type string

Example fix

# before
store = MemoryStoreConfig(type='simple', ...)
mem = FileMemory(store)

# after
store = MemoryStoreConfig(type='file', file_sources=[...], ...)
mem = FileMemory(store)

Defensive patterns

Strategy: validation

Validate before calling

cfg = store.as_config(FileMemoryConfig)
if cfg is None:
    raise ConfigError('store type must be file for FileMemory')
mem = FileMemory(store)

Prevention

Use create_memory dispatch
Validate memory.type matches the class

When it happens

Trigger: Instantiating FileMemory with a store config whose type is not 'file' (e.g. 'simple' or 'mem0'), or dispatching create_memory with a mismatched type string.

Common situations: Agent YAML where memory.type doesn't match the class being constructed; typos in the type field; reusing a memory block from a different template.

Related errors

AI-assisted analysis of OpenBMB/ChatDev@4fb2db0ea9 (2026-08-27). Data as JSON: /api/errors/ce0a7e6c67b23d21. Report an issue: GitHub.

Appendix: source

Thrown at runtime/node/agent/memory/file_memory.py:36

    MemoryItem,
    MemoryWritePayload,
)
from entity.configs import MemoryStoreConfig, FileSourceConfig
from entity.configs.node.memory import FileMemoryConfig

logger = logging.getLogger(__name__)


class FileMemory(MemoryBase):
    """
    File-based memory system that indexes and retrieves content from files/directories.
    Supports multiple file types, chunking strategies, and incremental updates.
    """

    def __init__(self, store: MemoryStoreConfig):
        config = store.as_config(FileMemoryConfig)
        if not config:
            raise ValueError("FileMemory requires a file memory store configuration")
        super().__init__(store)

        if not config.file_sources:
            raise ValueError("FileMemory requires at least one file_source in configuration")

        self.file_config = config
        self.file_sources: List[FileSourceConfig] = config.file_sources
        self.index_path = self.file_config.index_path  # Path to store the index

        # Chunking configuration
        self.chunk_size = 500  # Characters per chunk
        self.chunk_overlap = 50  # Overlapping characters between chunks

        # File metadata cache {file_path: {hash, chunks_count, ...}}
        self.file_metadata: Dict[str, Dict[str, Any]] = {}

    def load(self) -> None:
        """

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