session-recall

Solid

Search the unified local history of past Claude Code and Codex sessions at the START of a task when the user references a prior bug, feature, decision, file, or piece of work. Use before assuming fresh context for prompts such as "remember when…", "we worked on…", "the X bug", "back to…", "what did we decide about…", or any task that plausibly has history.

AI & Automation 6 stars 0 forks Updated today MIT

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Skill Content

# Session Recall Use the shared Claude Code + Codex index so the user does not have to re-explain prior work. Treat each result's `source` (`claude` or `codex`) as provenance, not relevance. ## Recall workflow 1. Start with `recall_search`; use `recent_sessions` first when the request is about the latest state or index freshness. 2. When the request names one day, pass `on_date`; for a range, pass inclusive `start_date` / `end_date`. The server defaults to the user's computer timezone, so pass `timezone` only when the user requests an override. Preserve the filter across `recent_sessions`, `recall_search`, and `grep`; do not rely on putting the date into the semantic query. 3. Pass `scope_cwd` for repo-local questions. Omit it for cross-project recall; retry globally if a scoped search is thin. 4. Treat Claude Code and Codex as one history by default. Omit `source` so both are searched; results retain `source="claude"|"codex"` as provenance. Filter by source only when the user explicitly names a host or provenance is material, and preserve that filter while drilling in. 5. For deeper grounding, inspect the best anchors with `expand_around`, walk with `step`, and use `grep` for exact identifiers that semantic search misses. 6. `recall_search` answers with `{"anchors": [...], "degraded": null | str}`. When `degraded` is set, the embedding provider was unreachable and only literal word matching ran: say so to the user, retry with the exact identi...

Details

Author
AbsoluteMode
Repository
AbsoluteMode/session-recall
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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