core-memory
Semantic recall, exact cross-session search, remembering, and normal continuity
Skill by QuixiAI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/quixiai-core-memory
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/core-memory
What's inside
- Skill name
core-memory- Description
- Semantic recall, exact cross-session search, remembering, and normal continuity
- License
- MIT
- Instructions
- 44 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Core Memory and Continuity
Use this skill for ordinary continuity: recalling relevant memories, opening exact source material, storing new experiences, maintaining goals, consulting the permanent journal, and resolving pending document-fade approvals.
## When to Use
- The user asks about something that may already be in memory.
- The current conversation contains information worth preserving.
- A goal, schedule item, backlog item, or journal entry should be created or updated.
- The user answers a document-fade approval request.
- Before claiming you do not know something, check memory when the answer plausibly lives there.
## Method
1. Use `sense_memory_availability` for a cheap check when unsure whether memory is likely to help.
2. Use `recall` for targeted retrieval. Prefer specific queries over broad ones.
3. Use `recall_at_time` when the user asks what was known "as of" a past instant,
and `diff_memory_history` when they ask what changed between two times or why.
4. Use `search_history` for exact names, phrases, or details from earlier
sessions, especially when semantic recall is weak or embeddings are unavailable.
5. When the answer depends on an ingested source rather than distilled memory,
climb the cabinet ladder: `search_documents` for files or
`search_document_chunks` for citable passages -> `open_document` /
`open_document_chunk` for read-only inspection -> `load_documents` /
`load_document_chunks` (with a reason) when the material must stay
searchable -> `search_history` with `sources=["desk"]` while reasoning ->
`open_desk_item` to scroll long items -> cite the document/chunk/page
handle. Run `list_desk` first -- do not re-load what is already on the
desk. `pin_desk_item` what stays actively needed; `clear_desk` when done
(cleared items archive; sources stay in the cabinet).
6. Use `remember` when a durable fact, event, preference, promise, or decision should persist.
7. Use journal tools only for deliberate permanent entries, not ordinary memory.
8. Use goal, schedule, or backlog tools when the user asks for ongoing commitments or work tracking. For durable watch-and-notify commitments that outlive the conversation ("let me know whenever X happens", "watch for email from Hope", recurring medication reminders), use `manage_responsibility`; use `manage_schedule` only for simple timed reminders that observe nothing.
9. Use document approval tools when the user explicitly says to keep or let an ingested document fade.
10. Use `manage_operator_policies` to list standing instructions or revoke one only when the verified operator explicitly asks. A replacement is a revoke followed by the operator stating the new standing instruction.
## Quality Guidelines
- Memory is evidence, not omniscience. If retrieved context is weak or absent, say so.
- Do not store secrets unless the user explicitly asks.
- Do not turn every minor sentence into memory; persist what will matter later.
- Keep tool use proportional. A direct answer does not need a recall if the answer is already present in the current conversation.From QuixiAI/Hexis, MIT.
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Signals
- Stars
- 621
- Forks
- 86
- Open issues
- 6
- Last commit (this folder)
- Aug 29, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/QuixiAI/Hexis
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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QuixiAI
Decide whether a message is worth someone's attention, then reach the user through the outbox, or people on a connected chat channel, on their behalf or your…
SkillAFreshness: A★ 621Claude Code +9 - 0.761score
integration-connector-setup
QuixiAI
Start, configure, verify, inspect, and revoke first-class connectors including Slack, Telegram, Signal, Notion, Spotify, Home Assistant, Weather, and Trello
SkillBFreshness: B★ 621Claude Code +9 - 0.761score
gmail-actions
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Send Gmail messages, reply to threads, apply labels, triage spam, and delete messages with explicit action authorization
SkillBFreshness: B★ 621Claude Code +9 - 0.761score
delegation
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Hand a self-contained piece of work to a sub-agent and collect the result — parallel work, long jobs, or anything that would flood this conversation
SkillBFreshness: B★ 621Claude Code +9 - 0.761score
code-execution
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Run programs, shell commands, and scripts — compile and execute code, test programs in installed languages, work with files in the workspace
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Use an explicitly paired companion node for approved Apple apps, Shortcuts, secret-safe 1Password, fixed host commands, or a fresh screen capture
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Cite this page
core-memory skill. Agent Mart. https://agentmart.dev/skills/quixiai-core-memory (last updated 2026-10-24)