recall — Claude Skill by arjunkmrm

by arjunkmrm · Claude Skill · ★ 119

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About recall

recall Ever lost a conversation session with Claude Code or Codex and wish you could resume it? This skill lets Claude and your agents search across all your past conversations with full-text search. Builds a SQLite FTS5 index over and with BM25 ranking, Porter stemming, CJK support, and incremental updates. Install Then use in Claude Code (or Codex) or ask "find a past session where we talked about foo" (you might need to restart Claude Code). How it works Index Query Indexes user/assistant messages into a SQLite FTS5 database at First run indexes all sessions (a few seconds); subsequent runs only process new/modified files Dual-table FTS: Porter stemming for English, trigram tokenizer for CJK (Japanese, Chinese, Korean) CJK mes

Quick Facts

Stars119
Forks7
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score45.042/100
Open Issues1
Last Updated2026-03-22
Created2026-03-03
Platformsclaude-code, codex, python
Est. Tokens~3k

recall alternative? Top 2 similar tools

Looking for a recall alternative? If you're comparing recall with other claude skill tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is recall?

recall is a skill for claude code and codex to recall past conversations. It is categorized as a Claude Skill with 119 GitHub stars.

What programming language is recall written in?

recall is primarily written in Python.

How do I install or use recall?

You can find installation instructions and usage details in the recall GitHub repository at github.com/arjunkmrm/recall. The project has 119 stars and 7 forks, indicating an active community.

What license does recall use?

recall is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to recall?

The top alternatives to recall on Agent Skills Hub include life-sciences, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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