cass（cass 搜索）

CASS - Coding Agent Session Search

Search and explore your AI coding session history across multiple agents.

Prerequisites

Install cass:

# Install via cargo or download binary
cargo install cass

Build the index:

cass index

CLI Reference

Search Sessions

# Basic search
cass search "query" --json

# With wildcards
cass search "react*" --json
cass search "*hook*" --json

# Limit results
cass search "query" --limit 20 --json

# Filter by agent
cass search "query" --agent claude --json
cass search "query" --agent codex --json
cass search "query" --agent cursor --json
cass search "query" --agent gemini --json
cass search "query" --agent aider --json

# Filter by workspace/project
cass search "query" --workspace /path/to/project --json

# Filter by time
cass search "query" --days 7 --json

# Output detail levels
cass search "query" --fields minimal --json  # paths only
cass search "query" --fields summary --json  # default
cass search "query" --fields full --json     # everything

# Highlight matches
cass search "query" --highlight --json

Check Health

# Verify index is healthy before searching
cass health

Build/Rebuild Index

# Full rebuild
cass index --full

# Watch mode for continuous updates
cass index --watch

View Session Details

# View specific line from search results (path is positional)
cass view /path/to/session.jsonl -n 42 --json

# With more context lines
cass view /path/to/session.jsonl -n 42 -C 10 --json

Expand Context

# Show surrounding messages around a line (path is positional, -n is required)
cass expand /path/to/session.jsonl --line 42 -C 3 --json

# More context
cass expand /path/to/session.jsonl --line 42 -C 10 --json

Activity Timeline

# Activity across agents
cass timeline --json

# Last N days (use relative format)
cass timeline --since 7d --json

# Today only
cass timeline --today --json

# By agent
cass timeline --agent claude --json

# Group by hour or day
cass timeline --group-by hour --json
cass timeline --group-by day --json

Export Conversations

# Export to markdown (path is positional)
cass export /path/to/session.jsonl --format markdown

# Export to HTML
cass export /path/to/session.jsonl --format html -o conversation.html

# Export to JSON
cass export /path/to/session.jsonl --format json

# Include tool calls
cass export /path/to/session.jsonl --include-tools

Statistics

# Index statistics
cass stats --json

Capabilities

# Show supported features and connectors
cass capabilities --json

Find Related Sessions

# Find sessions related by workspace, day, or agent (path is positional)
cass context /path/to/session.jsonl --json

# Limit per relation type
cass context /path/to/session.jsonl --limit 3 --json

Supported Agents

• claude - Claude Code sessions
• codex - OpenAI Codex CLI
• cursor - Cursor IDE
• gemini - Gemini CLI
• aider - Aider
• chatgpt - ChatGPT (if exported)

Workflow Patterns

Find Past Solutions

# Search for how you solved something before
cass search "authentication jwt" --json
cass search "postgres connection pool" --json
cass search "react state management" --json

Review Recent Work

# What did I work on today?
cass timeline --today --json

# Last week's activity
cass timeline --since 7d --json

Deep Dive into a Session

# 1. Search for topic
cass search "bug fix login" --json

# 2. Get line number from results, view details
cass view /path/from/results.jsonl -n 123 --json

# 3. Expand context around interesting parts
cass expand /path/from/results.jsonl --line 123 -C 5 --json

# 4. Export full conversation for reference
cass export /path/from/results.jsonl --format markdown -o reference.md

Cross-Agent Learning

# How did different agents handle similar problems?
cass search "api design" --agent claude --json
cass search "api design" --agent codex --json
cass search "api design" --agent cursor --json

Best Practices

1. Build index first - Run cass index before searching
2. Check health - Run cass health if searches return no results
3. Use wildcards - *pattern* for flexible matching
4. Filter by agent - When you remember which tool you used
5. Use timeline - For temporal exploration
6. Export valuable sessions - Save important conversations as markdown