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echovault
Local-first memory for coding agents. You MUST retrieve task-aware context before substantive work and save durable learnings before session end.
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。
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Local-first memory for coding agents. You MUST retrieve task-aware context before substantive work and save durable learnings before session end.
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
Local-first memory for coding agents. You MUST retrieve task-aware context before substantive work and save durable learnings before session end.
Local-first memory for coding agents. You MUST retrieve memories at session start and save memories before session end. This is not optional.
| name | echovault |
| description | Local-first memory for coding agents. You MUST retrieve task-aware context before substantive work and save durable learnings before session end. |
You have persistent memory across sessions. USE IT.
Use the current user request as the query so retrieval is task-aware. Prefer the
memory_context MCP tool:
{
"project": "<current-project>",
"agent": "claude-code",
"query": "<current user request>",
"token_budget": 1200
}
CLI fallback:
memory context --project --agent claude-code --query "<current user request>"
If the context pack is insufficient, use memory_search for a narrower topic.
Fetch memory_details only when the returned summaries and structured context are
not enough. If context policy reports disabled, continue normally; explicit
search and save remain available.
Do not replace the current request with generic terms such as "recent context".
Before ending your response to ANY task that involved making changes, debugging, deciding, or learning something, you MUST save a memory. This is not optional. If you did meaningful work, save it.
memory save \
--title "Short descriptive title" \
--what "What happened or was decided" \
--why "Reasoning behind it" \
--impact "What changed as a result" \
--tags "tag1,tag2,tag3" \
--category "<category>" \
--related-files "path/to/file1,path/to/file2" \
--source "claude-code" \
--details "Context:
Options considered:
- Option A
- Option B
Decision:
Tradeoffs:
Follow-up:"
Categories: decision, bug, pattern, learning, context, playbook,
known_fix, constraint, project_state, active_work.
Use --source claude-code to identify the agent.
You MUST save when any of these happen:
Run once to install MCP and refreshed behavioral instructions for your agent:
memory setup claude-code # or: cursor, codex
To remove: memory uninstall claude-code
memory config # show current configuration
memory sessions # list session files
memory reindex # rebuild search index
memory delete <id> # remove a memory
<redacted> tags.