How to Use OpenClaw Memory Search

Memory search is the practical side of OpenClaw memory. The docs say memory_search finds relevant notes even when the wording differs, because it can combine semantic embeddings with exact-term retrieval. That hybrid behavior is what makes it useful in real operations: exact IDs still matter, but so does finding the note you phrased differently two weeks ago.

When this is the right move

Use memory search when the workspace has enough notes, memory files, or optional session transcripts that you need retrieval rather than eyeballing files. It matters even more when the thing you need is a mix of human language and exact identifiers, because that is precisely where hybrid search beats plain grep-style thinking.

The practical workflow

1. Make sure OpenClaw has an embedding provider path you actually intend to use, whether that is auto-detected from existing keys or set explicitly.
2. Check index status before assuming the tool is broken. An empty or stale index produces bad recall no matter how good the prompt is.
3. Rebuild the index when the docs or your config say the backend changed or the index looks stale.
4. Enable optional ranking helpers such as temporal decay or MMR only when your note history is large enough to benefit from them.
5. Test both semantic recall and exact-term recall so you know whether failures are about embeddings, full-text search, or both.

Grounded command or config pattern

The docs show a direct provider setting plus the core CLI commands for status and reindexing.

{
  agents: {
    defaults: {
      memorySearch: {
        provider: "openai",
      },
    },
  },
}

openclaw memory status
openclaw memory search "query"
openclaw memory index --force

If you have no embeddings configured, OpenClaw can still use lexical ranking over full-text results instead of falling all the way back to naive exact-match ordering. The docs also mention a local provider path when node-llama-cpp is installed next to OpenClaw.

Operator notes

The docs describe a two-path retrieval pipeline: vector similarity for semantic meaning and BM25 for exact terms, merged into one ranked result set. They also document optional temporal decay and MMR for large note histories, multimodal indexing with Gemini Embedding 2, and experimental session transcript indexing when you intentionally opt in. That makes memory search a tunable system rather than a single fixed behavior.

Rollout approach

For memory search, I would begin with the most boring questions possible: one paraphrased memory and one exact token or ID. If both work, the engine is basically healthy. If one fails, you know which retrieval path needs attention. That is faster than jumping straight into a vague “the agent forgot everything” conclusion.

Common mistake

The common mistake is treating the command or config key as the whole feature. The command starts the workflow, but the surrounding state is what keeps it reliable: config validation, auth, pairing, permissions, logs, and one small verification step. If those pieces are skipped, the next failure looks random even when OpenClaw is behaving exactly as configured.

Maintenance rhythm

Once this is working, write down the exact command, config path, or approval decision you used. Future you will not remember the tiny detail that made the setup safe. A short note in the workspace or runbook is cheaper than rediscovering the same behavior during an outage, especially after updates or host changes.

Safety checks

Remember that memory search is still grounded in files and configured indexes. It is not hidden magical memory. If you should not be indexing a directory or transcript collection, do not turn it on just because more recall sounds better. Better memory is still subject to the same privacy and workspace-boundary decisions as everything else in OpenClaw.

How to verify it worked

Run one search for an exact string such as an ID or config key and one search for a paraphrased idea. If exact search works but semantic search does not, check the embedding provider and openclaw memory status --deep. If nothing works, rebuild the index before you touch any higher-level memory feature.

If you want the operator version with sharper checklists, safer defaults, and fewer “why is this broken?” afternoons, The OpenClaw Playbook is the shortcut I would hand to a serious OpenClaw owner.