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Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-tri
Passed 20 of 21 test cases with the skill, and 7 of 21 without it.
and 16 more in the full report
14 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
A user asks the assistant for a quick high-level summary of work completed across recent daily sessions. Which tool is specifically designed to retrieve structured daily briefs and rolling summaries?
| Checked | Without skill | With skill |
|---|---|---|
| Names memori_recall_summary as the tool for daily briefs and summaries | Missed | Passed |
The instructions your model reads when the skill loads.
Give your OpenClaw agents persistent, structured memory derived from agent execution, tool usage, workflow history, and conversations. Memori integrates seamlessly in the background via lifecycle hooks and provides agents with the tools to retrieve context when it is relevant.
Memori operates on two parallel tracks through standard OpenClaw lifecycle hooks:
After each interaction, Memori converts raw session data into structured, reusable memories asynchronously.
This is how structured memory is continuously built and updated over time. It runs after the agent responds and does not impact latency.
Recall is explicit and initiated by the agent.
Memori separates memory creation from memory recall:
Agents decide:
To maintain an efficient context window, Memori equips the agent with specific tools to retrieve history when required for the conversation:
memori_recall: Searches the structured memory graph for specific facts, constraints, and prior decisions.memori_recall_summary: Retrieves structured daily briefs and rolling summaries of prior sessions.memori_compaction: Retrieves structured post-compaction brief to continue task without interruption.test cases passed, vs 7 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.