openviking-memory

openviking-memory

熱門

Recall and persist long-term memory through the OpenViking MCP tools. Use at the start of any substantive task (coding, configuration, debugging, multi-step or tool-based work) to retrieve relevant prior knowledge with find/search/read, and during or after work to persist durable facts, preferences, decisions, and lessons with remember. Do not use for casual chat or simple factual questions the model can answer directly.

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更新於 2026/10/3
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SKILL.md
唯讀
名稱
openviking-memory
描述

Recall and persist long-term memory through the OpenViking MCP tools. Use at the start of any substantive task (coding, configuration, debugging, multi-step or tool-based work) to retrieve relevant prior knowledge with find/search/read, and during or after work to persist durable facts, preferences, decisions, and lessons with remember. Do not use for casual chat or simple factual questions the model can answer directly.

OpenViking Memory

OpenViking is a long-term semantic memory store addressed by viking:// URIs.
This client has no lifecycle hooks, so nothing is recalled or captured
automatically — you drive both halves of the loop with the openviking MCP
tools.

Core tools, available on every supported deployment:

  • Recall: find, search, read, list, grep, glob
  • Persist: remember, add_resource
  • Maintain: forget, health

Some deployments register more than the core set — tree, write, edit,
list_watches, cancel_watch. These are optional: which ones exist depends
on the server version and hosting mode (the managed cloud service trims some
of them). Check the session's registered tool list; if any optional tool is
present, read references/optional-tools.md
before using it. Never call a tool that is not registered, and do not fall
back to raw HTTP. If no OpenViking tools are registered at all, continue
without memory.

Recall: at task start

  1. Decide whether the request warrants memory. Retrieve for executable or
    multi-step work, anything touching a system you may have seen before, and
    recovery from failures. Skip retrieval for small talk and one-off trivia.
  2. Build one concise query from the task goal, domain objects, intended
    operation, and constraints. After a failure, include the failed operation
    and the stable part of the error message.
  3. Call find (fast, ranked results with URI + abstract + score) with
    limit around 5-10. Use search when deeper intent analysis helps, or use
    search with mode="context" for a server-assembled, token-budgeted
    context block. In list mode, scope with target_uri when you know where to look, e.g.
    viking://~/memories/experiences for prior task experience. viking://~ is
    the home alias for your own user root; a server that predates the alias
    rejects every viking://~ URI with INVALID_URI. Against such a server use
    the explicit viking://user/<user_id>/... root taken from a URI already
    visible in this session, or drop target_uri and keep the hits whose URI
    contains /memories/experiences/. Never guess a user ID.
  4. Judge results by task and environment fit, not title similarity. read the
    one to three exact file URIs likely to change how you execute. Ignore
    sidecar files such as .abstract.md, .overview.md, and
    .relations.json.
  5. If nothing relevant comes back, proceed without memory. Make at most one
    focused follow-up search when execution fails for a materially new reason.

Treat retrieved memory as advisory. Priority order: system and developer
instructions, the current user request, current environment and tool evidence,
then memory. Verify commands, paths, and versions against the present task;
prior success never authorizes a destructive action now.

Persist: during and after work

Because capture is not automatic here, durable information is lost unless you
store it. When you encounter something worth keeping, persist it in the same
session:

  • remember(messages) — the default. Pass the key exchange or a short factual
    summary as role-tagged messages; the server extracts and files memories
    (preferences, entities, events, experience) on its own. Use it when the user
    says "remember this", states a lasting preference or decision, or when a
    hard-won lesson (root cause, working procedure, environment quirk) emerges.
  • add_resource — to import external documents or URLs as searchable
    resources. Use it for any file, URL, or repo the user hands you; never copy
    its text into a file with write instead.
  • When you need a note you author at a known location (under viking://~/ —
    your own user root — or viking://resources/), the optional write / edit
    tools cover that — see
    references/optional-tools.md. If they are
    not registered, fall back to remember.

What to persist: stable preferences and conventions, environment facts,
decisions with their rationale, and reusable procedures or fixes. What not to
persist: secrets and credentials, transient state, speculation, or bulk
transcript dumps — store conclusions, not scrollback.

Example

User asks to fix a failing deployment:

  1. find with query deployment image pull failure private registry,
    target_uri: "viking://~/memories/experiences".
  2. read the most relevant experience URI; check its assumptions against the
    current cluster before applying its steps.
  3. Fix the issue, verify the live result.
  4. remember a short summary of the root cause and the working fix so the
    next session can recall it.