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Empirical
Gauzza DevCo v2.0.0
Publisher description
From the marketplace listing
Memory Infrastructure For AI Memory that follows you everywhere. Own your AI memory. Empirical gives AI systems persistent memory across tools and sessions. It stores events, entities, goals, and reflections as connected nodes so context stays portable instead of being locked to one model or one chat.
Language: English · Automatically detected from descriptions.
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--- name: empirical-memory description: Cross-project personal memory through Empirical CLI and MCP. Use for research, debugging, specs, status, handoffs, personal context, lead/CRM work, assistant operations, or whenever prior decisions and preferences may matter; also use when asked to remember, recall, update, or forget information. --- # Empirical Memory Use Empirical to carry durable context across projects and clients. ## Before doing work 1. Query relevant memories before any substantive response or tool call when the task may benefit from prior context. This includes research, debugging, PRDs/specs, status, handoffs, personal health, leads, CRM, and assistant operations. 2. Prefer the `empirical` CLI when it is available because it avoids MCP tool discovery: ```text empirical memory query --match "<relevant context>" --top-k 10 ``` 3. If the CLI is unavailable, use the connected MCP `query_memories` tool. Use filters such as `category`, `tags`, `nodeType`, and `monthKey` when they improve recall. For exhaustive topic retrieval, use the topic as a tag and follow pagination. ## Persist durable context - Record durable decisions, project conventions, preferences, plans, and meaningful reflections with `record_graph_memory` or: ```text empirical memory record --category <category> --summary "<concise fact>" --tags <tag1,tag2> ``` - Append a correction or follow-up to an existing memory with `add_note_by_query` / `empirical memory note`. - Patch an existing memory with `update_memory_by_query` / `empirical memory update`. - Delete only when the user explicitly asks; use the delete tool with confirmation. - Keep writes concise, factual, and easy to search. Never store passwords, API keys, OAuth tokens, or other secrets. ## MCP tools Use these when connected: `query_memories`, `record_graph_memory`, `add_note_by_query`, `update_memory_by_query`, `delete_memory_by_query`, `get_user`, `get_current_workspace`, `list_workspaces`, and `set_current_workspace`. For graph work, use `get_memory_neighbors` and `update_memory_relationships` when available instead of reconstructing relationships through many unrelated calls. ## Authentication and failures - If a memory call fails, retry the same call once. - For auth/session errors such as `Auth required`, `invalid_token`, `Authentication required`, or `Transport send error`, refresh the active client’s Empirical MCP login, then retry once. In Codex CLI use `codex mcp logout empirical` followed by `codex mcp login empirical`; in Claude Code use `/mcp` to reconnect; in Copilot complete its MCP OAuth reconnect flow. - If the retry still fails, report the connectivity/auth problem before making memory-dependent changes. - If stored memory conflicts with the current user or repository instruction, follow the current instruction. ## Exact CLI syntax Run `empirical doc memory` before guessing CLI flags. Run `empirical doctor` to check connectivity and token status. If a CLI memory command reports a token error, run `empirical oauth bootstrap headless --write-env`.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- Gauzza DevCo
Package observed Sep 30, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 1, 2026 · 18:00 UTC
- Collection status
- Collected
plugin_asdk_app_699db5f04b788191a4f9ee070d3e5d67
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