resume-resume 0.2.0

Post-crash Claude Code session recovery TUI

resume-resume

New free tool we're dropping.

Resume	Find old programming sessions in plain English and pick up where you left off.
Dirty Repos	See every repo with uncommitted changes across your entire machine — your standing to-do list. Scored by file count and recency.
Crash Recovery	boot_up finds interrupted sessions AND scans all repos for dirty git state. Ready-to-paste resume commands.
Prioritize	Auto-ranks sessions and repos by urgency — dirty files don't age out, recent active work surfaces first.
Speed	Parallelized BM25 search across gigabytes of past chats in seconds. Parallel git status scans across 50+ repos.
Cost Savings	Uses Haiku to summarize past context once, then caches permanently — searching thousands of sessions costs nothing after first run.
Merge	Merge multiple old chats together, pulling context across sessions into a single conversation.

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MCP Server

Add it to Claude Code and every session on your machine can search, read, and merge your full session history — in plain English.

pip install resume-resume
claude mcp add resume-resume -- resume-resume-mcp

Or manually in your MCP config:

{
  "mcpServers": {
    "resume-resume": {
      "command": "resume-resume-mcp"
    }
  }
}

We built Eidos, a multi-agent AI system. In our benchmark, Eidos outperformed Claude Opus 4.6 by 3.6x in both accuracy and speed on complex tasks with 15+ reasoning chains. Below, we use Claude Resume to pick up where we left off across multiple sessions.

Finding the benchmark where Eidos beat Claude Opus 4.6

"use resume-resume to find the eidos test where we beat claude"

Searching for a past session in plain English

"use resume-resume to find the latest chats about eidos philosophy docs"

Merging multiple past sessions into this chat

"use claude resume to merge march 14th conversations and Eidos v5 Pipeline Telemetry convo from march 11th into this chat"

Two sessions — one about eidos-philosophy doc changes (Mar 14) and one with a full 28-task strategic plan (Mar 11) — merged into the current conversation with a single command.

MCP Tools

Tool	What it does
boot_up(hours)	Crash recovery — finds interrupted sessions + scans all repos for dirty git state. Scores by urgency (session recency + dirty file count + dirty file recency). Includes ready-to-paste resume_cmd for each result.
dirty_repos()	Standing inventory of every repo with uncommitted changes. No time window — only shrinks by committing. Sorted by urgency score.
search_sessions(query)	Full-text search across 5,000+ sessions in ~3s, ranked by BM25
recent_sessions(hours)	List recently active sessions
read_session(id, keyword)	Read actual messages from a session, with optional keyword filter
session_summary(id)	AI summary — cached instantly, generated in ~15s if not
merge_context(id, mode)	Import context from another session (summary, messages, or hybrid)
session_timeline(id)	Structured milestone timeline — file edits, commits, instructions
session_thread(id)	Follow continuation links across a multi-session thread
resume_in_terminal(id)	Open a session in a new terminal window (iTerm2 or Terminal.app)
session_insights(section)	Deep analytics across all sessions — patterns, personality, predictions
session_xray(id)	Single-session breakdown — duration, tokens, tool counts, branches

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TUI

For when your machine died and you just need to get back to work.

pip install resume-resume
resume-resume        # last 4 hours
cr 24                # last 24 hours
cr --all             # everything

Key	Action
↑ ↓	Navigate sessions
r	Resume directly — exec into the session
Enter	Copy resume command to clipboard
Space	Select for multi-resume (opens all in iTerm tabs)
x	Export context briefing as markdown
/	Search across all session content
D	Deep dive summary
p	Analyze prompting patterns
b	Toggle automated/bot sessions

Requires Python 3.11+ and Claude Code.

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How It Works

1. Scans ~/.claude/projects/ for JSONL session files
2. Scans all project directories for dirty git state (parallel git status --porcelain)
3. Scores sessions by urgency: session recency (2h half-life) + repo dirty urgency (file count + dirty file recency)
4. Dirty repos bypass age filters — uncommitted work doesn't age out
5. Summarizes via claude -p with Haiku, cached permanently after first run
6. Classifies sessions as human or automated using a gradient boosting model trained on 3,800 sessions — bot sessions hidden by default
7. Surfaces bookmark data (lifecycle badges, next actions, blockers) when present
8. Reports negative space — how many repos were scanned, how many were clean vs dirty

Run /bookmark inside any Claude Code session to capture lifecycle state (done, paused, blocked, handoff) before closing. An auto-bookmark Stop hook captures minimal state when you don't.

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Related

• claude-session-commons — Shared session parsing, caching, and classification used by this repo and others
• resume-resume-duet — Web UI companion with session browser and resume-resume:// URL scheme handler

License

MIT