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Meta-harness that runs Claude Code and Codex CLI with live trace sync.

Project description

🤝 tandem

One coding session. Two AI agents. Zero lost context.

Run Claude Code and OpenAI Codex CLI as a single paired session — each model in its own native harness. Work in either one, switch at any moment, and pick up exactly where you left off. No double spend: only one model runs per turn; the other stays in sync through pure local file translation.

CI PyPI Python 3.11+ License: MIT

uv tool install tandem-cli

tandem demo — one session moving between Claude Code and Codex


Why tandem?

⏳ Hit a usage limit? Just keep going.

Claude runs out of its usage window mid-refactor? Type switch and Codex continues the same conversation a second later — same files, same history, same plan. Your two subscriptions become one long runway instead of two separate walls.

🌩️ Immune to outages.

An Anthropic or OpenAI outage doesn't stop your work. If the active model's API goes down, switch — the same session continues seamlessly in the other harness, and you can switch back whenever the outage clears.

💳 Subscriptions, not API bills.

tandem wraps the official CLIs under the auth you already have — your Claude and ChatGPT subscription logins work as-is. No API keys to provision, no per-token surprises. tandem itself makes zero network calls; every model call happens inside the real CLI, on your existing plan.

🧠 Two model families on one problem.

Claude and GPT have different strengths and different blind spots. Get a second opinion with full session context — no copy-pasting walls of text between terminals:

tandem run --on codex "second opinion: why is this test flaky?"

🐣 Subagents on the cheap model.

Load tandem's Claude Code plugin and Claude's subagent dispatches run on the codex model you choose instead — automatically, with the task brief forwarded verbatim and the result returned through Claude's own machinery. Claude orchestrates; codex does the legwork; your Claude quota stays on the main thread. Two pieces: the tandem binary the hook shells out to, and the plugin that registers the hook — the plugin lives in this repo, not in the wheel, and without the binary on PATH it is inert.

uv tool install tandem-cli   # the binary the hook drives
tandem                       # first launch offers the plugin install — hit enter

Said no at the prompt, or running non-interactively? One command performs both marketplace steps whenever you're ready:

tandem plugin install   # = claude plugin marketplace add Bhavya6187/tandem
                        #   + claude plugin install tandem@tandem

The marketplace tracks this repo's default branch, but nothing updates behind your back: the first-launch offer asks before touching anything, and you pull new versions when you run claude plugin marketplace update (or /plugin marketplace update inside Claude).

Then create ~/.tandem/config.toml and pick your plan's cheap model (ids are listed in ~/.codex/models_cache.json):

[subagents]
model = "gpt-5.6-luna"  # ← the whole point: set this
route = "all"           # all | manual | off
context = "match"       # match | task | full
keep_forks = false      # keep each worker's rollout for debugging

Without model, workers run on your codex account's default model — probably not the cheap one. Every other key above is already the default; that one is not, and routing is on as soon as the plugin loads, so tandem doctor warns until you set it.

  • route = "manual" turns off automatic rerouting: dispatches stay on Claude until you explicitly ask for the tandem:gpt agent — "use gpt subagents for this". (route = "off" is the same silence, but manual keeps tandem doctor's subagent checks on, since you still send work to codex.) Explicit tandem:gpt dispatches work under route = "all" too; there they're just not the only way in.
  • Write access follows your Claude permission mode. Dispatch while you're in acceptEdits or bypassPermissions and the codex worker runs with --sandbox workspace-write; in any other mode tandem passes no sandbox flag at all, so the worker gets codex's own default — read-only, unless you configured codex otherwise. A read-only worker that tried to edit files comes back with a [tandem-sub blocked: write] trailer naming the rejected paths; then it's your call — have it rerun with tandem sub -q --sandbox workspace-write, or apply what it returned yourself.
  • Know the trust boundary: --sandbox on tandem sub overrides whatever consent your permission mode stamped, and the only thing stopping a task brief from talking the relay into adding that flag is the relay's own instructions — so dispatching a task brief you don't trust is handing that text the relay's privileges.
  • Your own agents named gpt or codex-worker are never rerouted — the loop guard matches on the last segment of the agent name in any scope — so a local .claude/agents/gpt.md of yours keeps dispatching natively.

Fork dispatches stay on Claude, each worker's full codex log is kept under ~/.tandem/subagents/, and tandem status lists the workers running right now. The plugin is installed for every Claude session, so in a directory with no paired tandem session, dispatches simply run natively — the first one says so once, then the session stays quiet. claude plugin uninstall tandem@tandem and Claude is stock again — add claude plugin marketplace remove tandem to also unregister the marketplace.

Hacking on the plugin itself? Skip the marketplace and point Claude at your clone: claude --plugin-dir /path/to/tandem/plugin.

🏠 Every model in its native harness.

This is not a lowest-common-denominator wrapper UI. Claude runs in real Claude Code; GPT runs in real Codex CLI. Your keybindings, slash commands, MCP servers, and muscle memory all work exactly as they do today — tandem sits underneath, not in between.

⚡ Switching is instant.

While one agent is active, tandem quietly keeps the other one's native session file up to date by translating the transcript as it grows — pure local file I/O, no model calls, no "exporting…" step. The other side is always resume-ready.

🔒 Local, private, no lock-in.

Everything lives in the CLIs' own session files plus a small SQLite database in ~/.tandem. No cloud sync, no telemetry. Uninstall tandem tomorrow and both sessions still resume natively with claude --resume and codex resume.

Quick start

You'll need Python 3.11+ and the claude and codex CLIs on your PATH.

uv tool install tandem-cli   # or: pip install tandem-cli
cd your-project
tandem                       # fresh paired session; drops you into claude

Work normally. When you exit the agent, you land at tandem's prompt instead of your shell — that's where the magic lives:

tandem (claude)> switch      # continue instantly in codex
tandem (codex)> exit
to continue this session: tandem resume a1b2c3d4e5f6

Come back anytime:

tandem resume                # most recent session in this directory
tandem resume a1b2c3d4e5f6   # a specific one (id from the exit hint)

Command cheat sheet

Command What it does
tandem Start a fresh paired session (Claude active; --active codex to flip)
switch Flip active/shadow and enter the other agent — at the tandem prompt, or one-shot from your shell (one-shot only flips, it doesn't enter)
tandem resume [id] Continue the most recent (or a specific) session
tandem run --on codex "…" One-off prompt to the other agent, with full context
tandem sub "…" Run one delegated task on a codex model (used by the plugin's reroute hook; --sandbox read-only|workspace-write overrides the dispatching session's write consent)
tandem status Show pairing, roles, and sync position
tandem plugin install Install the tandem Claude Code plugin through claude's own CLI (marketplace add + install)

There are also three maintenance commands — tandem doctor (health check: verifies both sessions are resumable), tandem sync (manual catch-up translation), and tandem sync-mcp (share MCP server configs between the tools).

How it works

  • One model per command — always. Only the active harness's model is ever invoked (or, for run --on, the target's). The shadow side is pure local file I/O: tandem tails the active transcript, translates each entry, and appends it to the shadow's session file. The shadow's model is never called to "catch up".
  • A persistent prompt, not the OS shell. Leaving the harness lands you at tandem (claude)>. There, switch flips roles and drops you straight into the other tool, Enter re-enters the current one, and status / sync / doctor / run --on / sync-mcp all run against this session. exit (or Ctrl-D) returns to your shell and prints the resume hint. Every command also works one-shot from your shell, targeting the directory's most recently used session.
  • PTY passthrough. tandem launches the real CLI on a pty (raw mode, resize forwarding, signals through the line discipline) and never scrapes terminal output — the transcript files are the source of truth. Turn-complete hooks (claude --settings Stop hook, codex -c notify=[…]) are wired per-invocation as wake-up signals, with fs-watching as the data path and fallback. If your codex config already sets notify, tandem leaves it alone.
  • Append-only, crash-safe sync. Each transcript entry is translated as it lands — no bulk re-export at switch time. Appends are whole-line + fsync, and a write-ahead intent in the sync cursor makes translation exactly-once across crashes; on restart, sync resumes from the last confirmed entry.
  • Tool calls translate natively. The harnesses speak different tool vocabularies, so each completed call+result pair is re-expressed in the shadow's own terms — Bashexec_command, Edit/Writeapply_patch, TodoWriteupdate_plan — and lands as a real tool-call record, so shadow history reads as the shadow's own work. Anything that wouldn't map truthfully passes through verbatim; a call whose result never arrived is closed with a (tool result not recorded) placeholder at handoff, since both replay APIs reject dangling calls.
  • Attribution stays legible. Every synced text message is tagged [via claude-code] / [via codex] (tandem's own notes use [tandem]), so interleaved histories make sense to you and to the models. Tool activity is untagged — it's mirrored as native records, not prose.
  • Errors are contained. An entry that fails translation becomes a single per-turn placeholder in the shadow, with the raw entry quarantined under ~/.tandem/quarantine/… — and sync continues. The shadow is never corrupted or truncated.
  • Memory files stay in step. Fresh launches and every switch sync CLAUDE.md ↔ AGENTS.md: shared content lives in a <!-- tandem:shared:begin/end --> block (newer file wins), tool-specific text outside the block is preserved, and a file without markers is read from but never rewritten. Git state is never touched.

Compatibility

Session formats are internal to the CLIs and drift between releases. tandem pins what it was built against (observed formats documented in docs/formats.md):

CLI Tested Accepted range
Claude Code 2.1.220 ≥ 2.0, < 3
Codex CLI 0.145.0 ≥ 0.140, < 0.150

Outside the range, tandem warns and asks you to run tandem doctor. Format knowledge is isolated per tool in src/tandem/harness/claude_code.py and src/tandem/harness/codex.py.

Where your data lives

  • ~/.tandem/state.db — SQLite: session pairing + per-source sync cursors (override the directory with TANDEM_HOME)
  • ~/.tandem/quarantine/<session>/ — raw entries that failed translation
  • ~/.claude/projects/<munged-cwd>/<session-id>.jsonl — claude transcript
  • ~/.codex/sessions/YYYY/MM/DD/rollout-<ts>-<session-id>.jsonl — codex rollout (CLAUDE_CONFIG_DIR / CODEX_HOME honored)

Claude session ids are minted by tandem (claude --session-id); codex mints its own on first run and tandem captures it from the new rollout file.

Extending tandem

The sync engine talks to a small adapter interface (tandem.converter.TraceConverter):

class TraceConverter(Protocol):
    def translate_entry(entry, direction, ctx) -> list[TargetEntry] | TranslationError

ReferenceConverter implements it via a normalized event model (tandem/events.py) derived from the observed formats. Pass your own converter to SyncEngine(store, session, source, converter=...).

Development

uv sync && uv run pytest
pipx install .        # or: uv tool install .

Dependencies are deliberately small: click (CLI), pydantic v2 (event schema), watchdog (transcript tailing), pexpect/ptyprocess (PTY passthrough); state is stdlib sqlite3.

License

MIT

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