菜单
Store a memory in AgentDB — an episode (task + outcome + critique), a pattern, or a skill. Use when the user says "remember this", "save this for later", "add to memory", or when the agent has just succeeded/failed at a task and the lesson is worth keeping.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Walk the causal graph in AgentDB to explain why two memories are connected, or trace a root cause. Use when the user asks "why did X happen", "what led to Y", or after an incident.
Record a causal relationship between two memories in AgentDB — "X caused Y", "A supersedes B", "patch-foo depends-on patch-bar". Use when the user is documenting cause/effect, dependencies, supersessions, or after-action analysis.
Store memories in tier-aware hierarchical memory — working / short-term / long-term — and recall with tier filters. Use for working-set context that should fade, vs facts that should persist, vs patterns that should be searchable forever.
Initialize an AgentDB Cognitive Container (.rvf file) in the current project. Sets up storage, embedder config, and the agentdb MCP server. Use when the user is starting a new project that needs vector memory, or asks to "set up agentdb" / "init agentdb".
Show AgentDB health — pattern count, embedder status, cache hit rate, learning gain since init. Use when the user asks "is agentdb working?", "how many memories?", "show agentdb stats", or after long-running sessions to confirm state.
Execute Cypher queries against AgentDB's graph backend. Use when the user wants to write a custom traversal that the standard tools don't cover, or when explaining graph state.
| name | agentdb-remember |
| description | Store a memory in AgentDB — an episode (task + outcome + critique), a pattern, or a skill. Use when the user says "remember this", "save this for later", "add to memory", or when the agent has just succeeded/failed at a task and the lesson is worth keeping. |
Persist a memory into AgentDB so a future session can recall it. Three flavors — pick the right one for what's being remembered:
| User phrasing | Use |
|---|---|
| "remember that X works for Y" | Pattern — agentdb_pattern_store |
| "save what happened when I tried X" | Episode (Reflexion) — agentdb_reflexion_store |
| "this is a reusable approach for problem X" | Skill — agentdb_skill_create |
agentdb_pattern_store(
content: "JWT refresh token rotation pattern: ...",
metadata: { topic, project, success: true }
)
Use for facts, conventions, anti-patterns, or anything that should resurface as a hint when a similar query comes up later.
agentdb_reflexion_store(
sessionId: <session>,
task: <what we were trying to do>,
input: <what we tried>,
output: <what happened>,
critique: <what we'd do differently>,
reward: 0..1,
success: true|false
)
Use right after a task completes — success OR failure. Failed episodes feed getCritiqueSummary; successful ones feed getSuccessStrategies.
agentdb_skill_create(
name: <short verb-noun>,
description: <what it does>,
precondition: <when to use>,
action: <how to do it>,
outcome: <what success looks like>
)
Use when a pattern has been validated 3+ times and you want it elevated to a first-class reusable skill (queryable by intent embedding).