Indexes JSONL transcripts into SQLite
The project stores session history in SQLite, which makes the transcript data queryable in a structured local database instead of leaving it only as raw files.
session-indexer 是一款託管於 GitHub 的開發者工具,可將 Claude Code 工作階段記錄索引至 SQLite,並支援語意搜尋。它適合依專案檢索 JSONL 工作階段歷史;無法使用嵌入式檢索時,則可改用 FTS5。
Session-indexer is a developer tool for searching Claude Code session history on a per-project basis. It indexes JSONL transcripts into SQLite and then lets users retrieve past sessions with semantic search powered by bge-m3 embeddings through Ollama, with FTS5 available as a fallback.
The project is presented as a GitHub repository and appears to be aimed at developers who want a local, queryable record of Claude Code sessions rather than a generic note-taking or search app. Its core purpose is to make past sessions easier to find by turning transcript files into a searchable index.
The project stores session history in SQLite, which makes the transcript data queryable in a structured local database instead of leaving it only as raw files.
The page description states that search is performed using bge-m3 embeddings via Ollama, which indicates embedding-based matching for searching by meaning rather than exact text alone.
When semantic retrieval is not used or not available, the project can fall back to SQLite FTS5, providing a text-search path over indexed transcript content.
The product is described as per-project search over Claude Code history, suggesting the index is organized around individual project contexts rather than one global transcript pool.
The repository contains a docs directory and a .claude directory, indicating that usage and project-specific configuration/documentation are part of the codebase.
A developer can search session history for a specific project when they need to recover a decision, command, or troubleshooting thread from earlier Claude Code work.
Semantic search is useful when the user remembers the topic of a session but not the exact phrase used in the transcript.
If the embedding path is not in use, FTS5 provides a fallback for users who still need text-based retrieval over the indexed transcripts.
Developers can keep JSONL transcripts in SQLite so session history is easier to inspect and reuse later.
It indexes JSONL transcripts from Claude Code session history into SQLite.
The project uses bge-m3 embeddings through Ollama for semantic retrieval, with FTS5 as a fallback.
The source describes a repository that indexes data into SQLite and does not indicate a hosted SaaS product.
Yes. The page explicitly mentions FTS5 fallback.
The repository includes docs and project files, but the provided page text does not show a full usage guide.
流量數據僅供參考。
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