Topoteretes

Sync session cache entries into the permanent Cognee knowledge graph. Run this to make session memory searchable, or it runs automatically at session end.

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Evaluate Cognee itself from local telemetry: recall hit rate, latency, saves, injected context, token overhead, a scorecard and grade, before vs after an update, and why a memory was or wasn't injected last turn.

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Explain what the Cognee plugin captures, recalls, stores and sends, where its data and logs live, and how to inspect or turn off each behavior; check its local or cloud connection and settings.

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Forget data stored in Cognee memory. Use when the user asks to forget, delete, or remove something from memory (e.g. "forget what we talked about tennis", "delete that from memory"). Finds the documents in the current dataset whose raw content matches what the user wants forgotten and deletes them.

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A standup or status update built from the coding-agent sessions Cognee recorded — prompts, tool calls, edited files, what was left open — per project. Use only when the user explicitly asks for a standup, a status update, a catch-up on their own recent sessions ("what did I work on yesterday / this week"), or asks for the `cognee-standup` skill by name. Not for questions about code, files or the current task.

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A standup or status update on the user's own recent work, from the coding-agent sessions Cognee recorded (prompts, edited files, what was left open) per project. Default last 24h; also today, yesterday, 48h or a date.

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Use when indexing a code repository into Cognee's code graph or querying it (callers, impact analysis, paths, endpoints) from Antigravity.

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A dated chronology of one topic across the user's recorded coding-agent sessions, oldest first: the lessons the graph learned about it and the prompts that named it. Default last 30 days; also all time or a date.

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Use when indexing a code repository into Cognee's code graph or querying it (callers, impact analysis, paths, endpoints) from Codex.

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Use when the user wants to switch this Codex session to another Cognee dataset, see which datasets are available, or move memory capture to a different dataset. Syncs the current session first, then starts a fresh Cognee session bound to the chosen dataset.

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Use when Codex should remember, recall, search, improve, or forget information using Cognee.

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Index a repository (local path or git URL) into Cognee's code graph and answer exact structural queries with no LLM calls: callers, dependencies, impact of changing a symbol, call paths, endpoints, re-index changes.

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A digest of a week or more of the user's own coding-agent sessions (default 7 days): sessions per day and project, most-edited files and the lessons Cognee learned, written up as shipped, decided and still open.

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Forget something stored in Cognee memory: find the documents in the current dataset whose content matches by meaning, confirm, then delete them and their graph knowledge. Deletes a whole dataset only on explicit request.

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Store a fact, preference, decision, note or file permanently in the Cognee knowledge graph, tagged as user, project or agent. Plain "remember this" requests go here, not to Claude's built-in memory.

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Search Cognee memory beyond the automatic per-prompt recall: a deeper knowledge-graph search, more results, one category (user, project or agent), cited sources, or a one-off search of another dataset without switching.

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Switch this session to another Cognee dataset, or back to the previous one, so later saves and recalls use it. Takes a dataset name (created if new) or lists writable datasets to pick from; syncs this session first.

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Sync the current session from Cognee's session cache into the permanent knowledge graph now (Q&A turns, tool feedback, distilled lessons), so it becomes searchable and shows up in digests. Also runs at session end.

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Use when an agent must stand up the OpenClaw↔Cognee integration with FalkorDB as the vector + graph store. This skill is SELF-CONTAINED — it tells you to generate every file (Dockerfile, sitecustomize.py, docker-compose.yaml) from the exact contents below, build a custom Cognee image that loads the FalkorDB adapter, run Cognee + FalkorDB together, self-verify the adapter registered, and point the OpenClaw cognee plugin at it (including per-agent graphs). No other files in this directory are required.

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A dated chronology of one topic across the user's recorded coding-agent sessions — the lessons the graph learned about it and the prompts that named it, oldest first. Use only when the user explicitly asks for the history or timeline of a topic across their sessions ("how did X evolve", "when did we first discuss X") or asks for the `cognee-timeline` skill by name. Not for questions about code or the current task.

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Use when configuring the Cognee connection, checking whether Cognee is ready or connected, or diagnosing a local or cloud Cognee instance from Codex.

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Use only when the user explicitly asks to launch or inspect the LOCAL Cognee UI (the cognee-cli dev UI). For "is Cognee running/connected" or any configuration question, use the setup skill instead. Does not apply in cloud mode.

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Use when Antigravity should remember, recall, search, improve, or forget information using Cognee.

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AI knowledge engine - a memory system in 6 lines of code. remember/recall/forget/improve loop, vector + graph search, OpenClaw plugin supported.

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