> ## Documentation Index > Fetch the complete documentation index at: https://openclaw.ai2me.io/llms.txt > Use this file to discover all available pages before exploring further. # Memory overview OpenClaw remembers things by writing plain Markdown files in your agent's workspace (default `~/.openclaw/workspace`). The model only remembers what gets saved to disk; there is no hidden state. ## How it works Your agent has four memory-related files: * **`USER.md`** (optional) — stable preferences, communication style, relationships, and active-project context written as directives. Loaded at the start of a session with a separate small budget. * **`MEMORY.md`** — long-term memory. Durable non-profile facts and decisions. Loaded at the start of a session. * **`memory/YYYY-MM-DD.md`** (or `memory/YYYY-MM-DD-.md`) — daily notes. Running context and observations. Today's and yesterday's dated notes load automatically on a bare `/new` or `/reset`; slugged variants, such as those written by the bundled session-memory hook, are picked up alongside the date-only file. * **`DREAMS.md`** (optional) — Dream Diary and dreaming sweep summaries for human review, including grounded historical backfill entries. If you want your agent to remember something, just ask it: "Remember that I prefer TypeScript." It writes the note to the appropriate file. ## What goes where `USER.md` is the compact user-model layer. Write stable preferences and profile facts as imperative directives with observed-date and active/superseded metadata. When a preference changes, supersede it in place instead of appending a contradictory active directive. See [User model](/concepts/user-model). `MEMORY.md` is the compact, curated layer for durable non-profile facts, standing decisions, and short summaries that should be available at the start of a session. It is not a raw transcript, daily log, or exhaustive archive. `memory/YYYY-MM-DD.md` files are the working layer: detailed daily notes, observations, session summaries, and raw context that may still be useful later. These are indexed for `memory_search` and `memory_get`, but are not injected into the bootstrap prompt on every turn. Over time, useful material from daily notes is distilled into `MEMORY.md` by the default [dreaming](/concepts/dreaming) sweep. The generated workspace instructions still encourage the agent to record durable facts as it works, while dreaming handles background consolidation. The default heartbeat prompt performs no memory maintenance on its own. If `MEMORY.md` grows past the bootstrap file budget, OpenClaw keeps the file on disk intact but truncates the copy injected into context. Treat that as a signal to move detailed material into `memory/*.md`, keep only a durable summary in `MEMORY.md`, or raise the bootstrap limits if you want to spend more prompt budget. Use `/context list`, `/context detail`, or `openclaw doctor` to see raw vs. injected sizes and truncation status. ## Import from coding assistants The Control UI can import existing local memory from Codex, Claude Code, and Hermes. Open **Settings** → **Import Memory**, choose the destination agent, review the detected files, and confirm the import. For the existing default agent, you can instead open **Settings → Ask OpenClaw** and say `import memory`; this narrower chat wizard requires completed onboarding, copies only new detected memory, and reports per-source failures or possible partial copies. OpenClaw copies only Markdown memory: * Codex: the consolidated `MEMORY.md` and `memory_summary.md` files under `~/.codex/memories` (or `CODEX_HOME/memories`). Raw rollout and transcript files are not imported. * Claude Code: Markdown files from each project auto-memory directory under `~/.claude/projects/*/memory`, plus a user-configured `autoMemoryDirectory` when present. Project instructions, sessions, settings, and credentials are not part of this memory-only action. * Hermes: `MEMORY.md` and `USER.md` from the detected Hermes home. Config, credentials, and skills are not part of this memory-only action. Imported files stay separate under `memory/imports/codex/` and `memory/imports/claude-code/`, or `memory/imports/hermes/` in the selected agent workspace. They are indexed for `memory_search` and available through `memory_get`; they are not merged into the agent's bootstrap `MEMORY.md`. The source files are left unchanged. The preview marks destination conflicts. Enable **Replace existing imports** to replace those files; apply creates a verified pre-import backup and preserves item-level copies of overwritten files in the migration report. ## Action-sensitive memories Most memories are ordinary Markdown notes. Some affect what the agent should do later; for those, capture when it is safe to act on the note, not just the fact itself. Capture that action boundary when a note involves: * approval or permission requirements, * temporary constraints, * handoffs to another session, thread, or person, * expiry conditions, * safe-to-act timing, * source or owner authority, * instructions to avoid a tempting action. A useful action-sensitive memory makes clear: * what changes future behavior, * when or under what condition it applies, * when it expires, or what unlocks action, * what the agent should avoid doing, * who is the source or owner, if that affects trust or authority. Memory can preserve approval context, but it does not enforce policy. Use OpenClaw approval settings, sandboxing, and scheduled tasks for hard operational controls. Example: ```md theme={"theme":{"light":"min-light","dark":"min-dark"}} The API migration is being designed in another session. Future turns should not edit the API implementation from this thread; use findings here only as design input until the migration plan lands. ``` Another example: ```md theme={"theme":{"light":"min-light","dark":"min-dark"}} A report from an untrusted source needs review before promotion. Future turns should treat it as evidence only; do not store it as durable memory until a trusted reviewer confirms the contents. ``` This is not a required schema for every memory; simple facts can stay concise. Use action-sensitive boundaries when losing timing, authority, expiry, or safe-to-act context could cause the agent to do the wrong thing later. Use [scheduled tasks](/automation/cron-jobs) for exact reminders, timed checks, and recurring work. Memory can still summarize the durable context around that work. ## Retired inferred commitments Some future follow-ups are not durable facts. If a future event should trigger an action, use a [standing intent](/concepts/standing-intents). If a clock time should trigger it, use a [scheduled task](/automation/cron-jobs). The inferred commitments experiment is retired. OpenClaw no longer extracts or delivers those follow-ups. Use [scheduled tasks](/automation/cron-jobs) for future actions; the legacy `openclaw commitments` command remains available to inspect or dismiss existing stored rows. ## Memory tools The agent has three tools for working with memory: * **`memory_search`** — finds relevant notes using semantic search, even when the wording differs from the original. * **`memory_get`** — reads a specific memory file or line range. * **`intent`** — creates, lists, or explicitly cancels event-conditioned standing intents. Time-based reminders continue to use scheduled tasks. Both tools are provided by the active memory plugin (default: `memory-core`). ## Memory search When an embedding provider is configured, `memory_search` uses hybrid search: vector similarity (semantic meaning) combined with keyword matching (exact terms like IDs and code symbols). This works out of the box with an API key for any supported provider. OpenClaw uses OpenAI embeddings by default. Set `memory.search.provider` explicitly to use Gemini, Voyage, Mistral, Bedrock, DeepInfra, local GGUF, Ollama, LM Studio, GitHub Copilot, or a generic OpenAI-compatible endpoint. See [Memory search](/concepts/memory-search) for how search works, tuning options, and provider setup. ## Memory backends SQLite-based. Works out of the box with keyword search, vector similarity, and hybrid search. No extra dependencies. Local-first sidecar with reranking, query expansion, and the ability to index directories outside the workspace. AI-native cross-session memory with user modeling, semantic search, and multi-agent awareness. Plugin install. LanceDB-backed memory with OpenAI-compatible embeddings, auto-recall, auto-capture, and local Ollama embedding support. Plugin install. ## Knowledge wiki layer If you want durable memory to behave more like a maintained knowledge base than raw notes, use the bundled `memory-wiki` plugin. It compiles durable knowledge into a wiki vault with deterministic page structure, structured claims and evidence, contradiction and freshness tracking, generated dashboards, compiled digests, and wiki-native tools (`wiki_status`, `wiki_search`, `wiki_get`, `wiki_apply`, `wiki_lint`). `memory-wiki` does not replace the active memory plugin; the active memory plugin still owns recall, promotion, and dreaming. `memory-wiki` adds a provenance-rich knowledge layer beside it. You can browse the compiled wiki in the Control UI under Memory → Dreams → Diary → **Memory Wiki** ([details](/plugins/memory-wiki#browsing-the-wiki-in-the-control-ui)). Compiles durable memory into a provenance-rich wiki vault with claims, dashboards, bridge mode, and Obsidian-friendly workflows. ## Automatic memory flush Before [compaction](/concepts/compaction) summarizes your conversation, OpenClaw runs a silent turn that reminds the agent to save important context to memory files. This is on by default; set `agents.defaults.compaction.memoryFlush.enabled: false` to turn it off. To keep that housekeeping turn on a local model, set an exact override that applies only to the memory-flush turn (it does not inherit the active session's model fallback chain): ```json theme={"theme":{"light":"min-light","dark":"min-dark"}} { "agents": { "defaults": { "compaction": { "memoryFlush": { "model": "ollama/qwen3:8b" } } } } } ``` The memory flush prevents context loss during compaction. If your agent has important facts in the conversation that are not yet written to a file, they are saved automatically before the summary happens. ## Dreaming Dreaming is the default background consolidation path for memory. It collects short-term recall signals, scores candidates, and promotes only qualified owner or agent-derived items into long-term memory (`MEMORY.md`): * **Default on**: disable it with `plugins.entries.memory-core.config.dreaming.enabled: false`. * **Scheduled**: when enabled, `memory-core` auto-manages one recurring cron job for a full dreaming sweep. * **Thresholded**: promotions must pass score, recall-frequency, and query-diversity gates. * **Consolidated**: a bounded subagent rewrite merges duplicates and supersedes stale entries after the deterministic gate. Invalid or unavailable rewrites use append-only fallback. * **Taint gated**: untrusted and system-derived candidates never enter the consolidation prompt or durable promotion path. * **Reviewable**: phase summaries and diary entries are written to `DREAMS.md` for human review, including rewrite counts and highlights. This background pattern follows the motivation behind sleep-time compute (arXiv:2504.13171). Provenance-aware reflection also follows the durable memory lessons of the Generative Agents research. See [Dreaming](/concepts/dreaming) for phase behavior, scoring signals, and Dream Diary details. ## Grounded backfill and live promotion The dreaming system has two related review lanes: * **Live dreaming** works from the short-term dreaming store under `memory/.dreams/` and is what the normal deep phase uses to decide what graduates into `MEMORY.md`. * **Grounded backfill** reads historical `memory/YYYY-MM-DD.md` notes as standalone day files and writes structured review output into `DREAMS.md`. Grounded backfill is useful for replaying older notes and inspecting what the system considers durable, without manually editing `MEMORY.md`. ```bash theme={"theme":{"light":"min-light","dark":"min-dark"}} openclaw memory rem-backfill --path ./memory --stage-short-term ``` The `--stage-short-term` flag stages grounded durable candidates into the same short-term dreaming store the normal deep phase already uses; it does not promote them directly. So: * `DREAMS.md` stays the human review surface. * The short-term store stays the machine-facing ranking surface. * `MEMORY.md` is still only written by deep promotion. To undo a replay without touching ordinary diary entries or normal recall state: ```bash theme={"theme":{"light":"min-light","dark":"min-dark"}} openclaw memory rem-backfill --rollback openclaw memory rem-backfill --rollback-short-term ``` ## CLI ```bash theme={"theme":{"light":"min-light","dark":"min-dark"}} openclaw memory status # Check index status and provider openclaw memory search "query" # Search from the command line openclaw memory index --force # Rebuild the index ``` ## Further reading * [Memory search](/concepts/memory-search): search pipeline, providers, and tuning. * [Builtin memory engine](/concepts/memory-builtin): default SQLite backend. * [QMD memory engine](/concepts/memory-qmd): advanced local-first sidecar. * [Honcho memory](/concepts/memory-honcho): AI-native cross-session memory. * [Memory LanceDB](/plugins/memory-lancedb): LanceDB-backed plugin with OpenAI-compatible embeddings. * [Memory Wiki](/plugins/memory-wiki): compiled knowledge vault and wiki-native tools. * [Dreaming](/concepts/dreaming): background promotion from short-term recall to long-term memory. * [Memory configuration reference](/reference/memory-config): all config knobs. * [Compaction](/concepts/compaction): how compaction interacts with memory. * [Active memory](/concepts/active-memory): sub-agent memory for interactive chat sessions. * [User model](/concepts/user-model): directive-based durable preferences and profile facts. * [Standing intents](/concepts/standing-intents): event-conditioned prospective memory.