记忆

RecallBase

试用

Recover context from local AI conversation history

它能做什么

Recover context from local AI conversation history with RecallBase. Use for same-day work summaries, resuming prior AI or coding sessions, or tracing a past decision to its source.

技能文档

RecallBase

Recover the smallest useful slice of local AI history, then answer the user's question in natural language.

This workflow requires the local rb CLI on PATH and a RecallBase store populated from supported local sources. Core retrieval runs locally without login or network access.

Retrieve

  1. Choose the narrowest entry point:
    • Same-day continuity: rb today --json
    • A known topic, error, file, branch, command, or decision: rb search "" --json
    • Suspected coverage gaps: rb sources --json
  2. Inspect the JSON envelope. Continue only from ok: true; for ok: false, use error.code, message, and hint to explain or recover.
  3. Open only the strongest candidate conversations with rb open --json. Search results also provide the stable reference recallbase:conversation/.

Retrieval is complete when the evidence answers the question or the available source coverage proves the relevant history is absent or incomplete.

Use an already-configured local RecallBase MCP instead of shell commands when it is available. Read references/mcp.md for MCP routing. The public RecallBase Docs MCP contains product documentation; personal history tools come only from the local rb mcp server.

Synthesize

  • Answer the request directly. For a daily recap, group work into themes and name concrete tasks, outcomes, decisions, tests, merged changes, and visible next steps.
  • Treat conversation IDs and rb open ... commands as optional follow-up references, not the answer.
  • Summarize the relevant messages instead of reproducing full transcripts or raw JSON.
  • State material coverage gaps when sources are absent, partial, failed, or stale. When no evidence supports a claim, say so.

The response is complete when every material claim is grounded in retrieved history, uncertainty is explicit, and the user can continue without reading command output.

Conditional references

  • Read references/results.md when interpreting unfamiliar fields or building against the JSON contract.
  • Read references/troubleshooting.md when rb is unavailable, retrieval is empty or incomplete, imports fail, a full re-import is required, or browser capture setup is unhealthy.

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