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Lossless structural codec for Claude Code session JSONLs — portable conversation snapshots that move between devices.

Project description

claude-snap

Portable, lossless snapshots of Claude Code sessions.

--fork-session is a Claude Code primitive that already works locally: pick up where you left off in a new shell, with full context. claude-snap is the same primitive when the destination is a different device.

Pack a session JSONL on your laptop. Drop the artifact into a Claude chat on your phone. Keep the chain of ideas going. Read-only on a device that can't execute (the phone); read-write when reloaded into Claude Code on a device that has the repo.

This is not a memory layer. Not a search tool. Not a history browser. Not a summarizer. Not a markdown renderer. It's a codec.

What's in the box

claude-snap pack    session.jsonl  →  session.snap.jsonl   # compress
claude-snap unpack  session.snap.jsonl  →  session.jsonl   # restore (byte-identical events)
claude-snap stats   session.snap.jsonl                     # how much did we save

Zero runtime deps. Pure stdlib Python 3.9+. MIT.

Install

pip install claude-snap

End-to-end UX

Today (manual, but works on day one):

  1. On your laptop, after a Claude Code session:
    claude-snap pack ~/.claude/projects/<encoded-path>/<uuid>.jsonl
    # → <uuid>.snap.jsonl
    
  2. Move the .snap.jsonl to your phone — AirDrop, iCloud Drive, email-to-self, gist, whatever moves a text file.
  3. On your phone, open Claude (mobile app or claude.ai), upload/paste the file, and tell Claude "this is a packed prior session — use it as context." Phone-Claude now has the full conversational chain, every file state laptop-Claude saw, every edit it made.

Reattaching to laptop:

claude-snap unpack session.snap.jsonl   # → session.jsonl, byte-identical events

Drop the unpacked JSONL back into ~/.claude/projects/<...>/ and Claude Code resumes against it.

Asymmetry: phone vs laptop

When you load a snapshot into a Claude chat on a device that doesn't hold the repo:

  • Can: ideate, discuss, suggest code, draft the next edits, plan, review what was done.
  • Can't: actually Edit / Write / Bash against the laptop's files.

Two reasons, the second is load-bearing:

  1. No executor connected to the laptop's filesystem.
  2. The snapshot itself has no execution surface. It's inert text. There's no protocol where phone-Claude could reach back through it to your laptop.

That's not a discipline imposed by the codec; it's what the medium is. The right architecture for cross-device mobility: by construction, the snapshot moves without dragging side-effect capability with it.

What "lossless" means here

Roundtrip property: unpack(pack(events)) produces the original event payloads byte-for-byte (modulo header/footer metadata).

The codec only ever replaces redundant events with refs. It never:

  • summarizes
  • truncates conversational turns
  • drops reasoning
  • collapses Edit/Write payloads
  • approximates anything

The redundancy it exploits is structural:

  1. Re-reading an unchanged file. If Claude does Read(foo.py) twice and nothing has Edit'd foo.py between them, the second read becomes a ref. Content preserved exactly once.
  2. Repeated identical tool output. If pytest -q returns the same bytes twice, the second result becomes a ref.
  3. Mutation invalidates dedup. If foo.py was Edit'd between two Reads, the second Read is not ref'd — its content has genuinely changed.

Conversational turns (you and Claude talking) are never dedup'd. That's the chain of ideas; you keep all of it.

What compression to expect

The codec only removes structural redundancy: repeat reads of unchanged files, repeat tool calls with identical output. If your session re-reads or re-runs a lot, expect a meaningful ratio. If every Read and every Bash is unique (common in modern Claude Code sessions, where Claude tends to retain what it has already seen), expect close to 1.0× — and that's correct, not a bug. The artifact is still portable and lossless, which is the point. Compression is incidental.

Why this exists

The space around Claude Code history has two kinds of tools:

  • Dumpers (claude-conversation-extractor, cctrace, claude-code-history-mcp) give you the full firehose. Hit context window limits the moment a session has nontrivial Read/Bash bloat.
  • AI summarizers (claude-mem) give you a summary. Lossy by design. Throws away the chain-of-changes that's the whole point.

Neither lets you "transplant the session into a fresh chat on another device and pick up where you left off." That requires the real conversation, just without the redundant payload bytes.

Roadmap

  • v0.1.0 (you are here): the codec.
  • A Claude Code skill / configurable script that finds the active session, packs it, and drops the artifact at a configurable location (iCloud Drive folder, S3 bucket, etc.). Removes step 1 of the manual flow.
  • Schema adapters for other agentic CLIs (Cursor, Aider, Codex, Gemini CLI). The Event format is intentionally tool-agnostic.

The phone-side step (upload into a chat) remains an unsolvable workaround until Claude clients natively understand fork-session payloads. See the linked anthropics/claude-code issue.

Status

v0.1.0. Codec is correct on the roundtrip property and on the dedup heuristics tested in tests/test_codec.py. Schema normalization handles the dominant Claude Code JSONL shape; edge cases in unusual tool invocations (custom MCP tools, Task subagents) currently fall through to the generic META bucket and pass through unchanged — safe but uncompressed.

Contributing

Issues and PRs welcome. Particularly interested in:

  • Dedup heuristics for tools we don't currently special-case
  • Schema adapters for other agentic CLIs
  • A laptop-side packing skill / hook for Claude Code

License

MIT.

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