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icon: lucide/brain
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# Memory System

MindRoom supports two memory backends:

- `mem0`: vector memory (semantic retrieval + extraction via Mem0)
- `file`: markdown memory files (`MEMORY.md` plus optional dated notes)

Set the global default backend with `memory.backend`.
Override the backend per agent with `agents.<name>.memory_backend`.
Set `agents.<name>.memory_file_path` to point an individual file-backed agent at a custom workspace directory.

OpenClaw compatibility uses this same backend selection; there is no separate OpenClaw-only memory engine.

Optional:
- `memory.team_reads_member_memory: true` allows team-context memory reads to include member agent scopes.

## Memory Scopes

| Scope | User ID Format | Description |
|---|---|---|
| Agent | `agent_<name>` | Agent preferences and durable user context |
| Room | `room_<safe_room_id>` | Shared room/project context |
| Team | `team_<agent1>+<agent2>+...` | Shared team conversation memory |

Notes:
- Room IDs are sanitized (`:` -> `_`, `!` removed).
- Team IDs are sorted agent names joined by `+`.

## Backend: `mem0`

`mem0` keeps the existing behavior:
- semantic retrieval before response
- automatic extraction after turns
- storage in Chroma-backed Mem0 collections

Example:

```yaml
memory:
  backend: mem0
  embedder:
    provider: openai
    config:
      model: text-embedding-3-small
```

## Backend: `file`

`file` keeps memory in markdown files and treats files as source-of-truth.

Example:

```yaml
memory:
  backend: file
  file:
    path: ./mindroom_data/memory_files
    max_entrypoint_lines: 200
```

Per-agent override example:

```yaml
memory:
  backend: mem0

agents:
  coder:
    display_name: Coder
    role: Write and review code
    memory_backend: file
    memory_file_path: ./openclaw_data
```

`memory_file_path` is resolved relative to `config.yaml`.
When set, the agent uses that directory as its memory scope instead of `<storage_path>/memory_files/agent_<name>/`.

### File layout

Under `memory.file.path` (or `<storage_path>/memory_files` by default), MindRoom stores per-scope folders such as:

- `agent_<name>/MEMORY.md`
- `agent_<name>/memory/YYYY-MM-DD.md`
- `room_<safe_room_id>/MEMORY.md`
- `room_<safe_room_id>/memory/YYYY-MM-DD.md`
- `team_<sorted_members>/MEMORY.md`
- `team_<sorted_members>/memory/YYYY-MM-DD.md`

## File Auto-Flush Worker

When the effective backend is `file` for at least one agent, you can enable background auto-flush:

```yaml
memory:
  backend: file
  auto_flush:
    enabled: true
    flush_interval_seconds: 1800
    idle_seconds: 120
    max_dirty_age_seconds: 600
    stale_ttl_seconds: 86400
    max_cross_session_reprioritize: 5
    batch:
      max_sessions_per_cycle: 10
      max_sessions_per_agent_per_cycle: 3
    extractor:
      no_reply_token: NO_REPLY
      max_messages_per_flush: 20
      max_chars_per_flush: 12000
      max_extraction_seconds: 30
```

High-level behavior:

1. Turns mark sessions dirty.
2. Background worker picks eligible dirty sessions in bounded batches.
3. Worker runs a model-driven extraction (not keyword heuristics) to produce durable memories.
4. If extractor returns `NO_REPLY`, nothing is written.
5. Successful writes append to memory files via normal memory APIs.

## UI Configuration

The Dashboard **Memory** page supports:
- backend selection (`mem0` vs `file`)
- team/member read toggle (`team_reads_member_memory`)
- embedder provider/model/host
- file backend settings (`path`, `max_entrypoint_lines`)
- auto-flush settings (intervals, idle/age thresholds, retries)
- batch sizing
- extractor settings (`no_reply_token`, message/char/time limits, memory-context bounds)

Save from the Memory page to persist changes to `config.yaml`.
Use the Dashboard **Agents** page to set an agent-specific **Memory Backend** override and optional **Memory File Path**.

## Optional Memory Tool

For explicit agent-controlled memory operations, add the `memory` tool:

```yaml
agents:
  assistant:
    tools: [memory]
```

This exposes `add_memory`, `search_memory`, `get_all_memories`, and `delete_all_memories`.
