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Voyager ๐Ÿงญ

tests Python 3.10+ License: MIT platforms

One index across every AI coding agent on your machine.

Cross-agent continuity is built in: merge context across sessions and continue in any agent (voyager merge / switch / continue) โ€” see docs/ROADMAP.md for the shipped scope and docs/POST-1.0.md for what's next.

ไธญๆ–‡่ฏดๆ˜Ž

Voyager reads the local session data your agents already write โ€” Codex, Claude Code, ZCode, DSH (DeepSeek Harness), and more โ€” and turns it into a single searchable, exportable, resumable index. Pure local, no accounts, no cloud, no telemetry.

Voyager architecture: 8 agents, 8 storage formats, one index

Eight agents keep eight different formats; Voyager normalizes them into one SQLite index you can search, resume from, hand off to another agent, or query straight from inside an agent over MCP.

Voyager in action

$ voyager list
ID                                    PROV   UPDATED            MSG TOOL  TITLE
a1b2c3d4-...                          zcode  2026-09-13 01:13   162  206  ้‡ๆž„ๅญ˜ๅ‚จๅผ•ๆ“Ž็š„ๅ†™ๅ…ฅ่ทฏๅพ„
9f8e7d6c-...                          codex  2026-07-06 22:52    76  168  ไฟฎๅคๅคš็บฟ็จ‹ไธ‹่ฝฝๅ™จ็š„็ซžๆ€ๆกไปถ
5e4d3c2b-...                          claude 2026-07-17 12:46    89   70  ๅˆ†ๆžๆ•ฐๆฎ้›†็ป“ๆž„ๅนถ่ฎพ่ฎก่ฏ„ๆต‹่„šๆœฌ

Why

Every agent keeps its own history in its own format: Codex writes rollout JSONL, Claude Code writes project JSONL plus a file-version chain, ZCode uses SQLite, DSH compresses JSONL with zstd. You work across all of them โ€” Voyager makes that history one thing you can query.

  • Cross-agent timeline per repo โ€” what did all your agents do to this project, and when?

  • Full-text search everywhere โ€” find the session where someone ran that one command or touched that one file (CJK substring search works).

  • Real exports โ€” human-readable Markdown, or lossless JSON with both the normalized and the raw events.

  • Resume where you left off โ€” Voyager knows each platform's resume command and runs it for you.

Related MCP server: Open Brain Knowledge MCP Server

Install

# isolated CLI install โ€” no virtualenv juggling (recommended)
pipx install "voyager[all] @ git+https://github.com/HarryHeYu/voyager.git"

# or with pip (user-level)
pip install "voyager[all] @ git+https://github.com/HarryHeYu/voyager.git"

# once the release is on PyPI (tracked in CHANGELOG.md)
pipx install voyager

[all] = DSH support (zstandard) + MCP server (mcp). The two are optional and only needed for those features:

pip install "voyager @ git+https://github.com/HarryHeYu/voyager.git"          # core
pip install "voyager[dsh] @ git+https://github.com/HarryHeYu/voyager.git"     # + DSH
pip install "voyager[mcp] @ git+https://github.com/HarryHeYu/voyager.git"     # + MCP server

Working on Voyager itself:

git clone https://github.com/HarryHeYu/voyager && cd voyager
pip install -e ".[all,dev]"    # editable + extras + pytest
python -m pytest tests/ -q     # 363 collected: 345 passed, 18 skipped (synthetic fixtures, no provider data)

Python โ‰ฅ 3.10. Windows / macOS / Linux. If voyager is not on your PATH, run it as python -m voyager.cli.

Usage

First run: voyager scan walks every supported agent's local storage and builds the index at ~/.voyager/index.db. After that, re-run scan whenever you want to pick up new sessions โ€” it is incremental and only re-reads what changed. To make syncing fully automatic, keep a watcher running (or put it in a scheduled task):

voyager watch --interval 300    # re-scan every 5 minutes, forever

Put the command in your OS autostart (or the provided ~/.voyager/watch.vbs in the Windows Startup folder) and the index stays current with zero manual steps.

voyager scan                # discover + index every supported agent
voyager list                # all sessions, newest first
voyager list --repo myproj  # sessions for one repo
voyager show <id>           # full message / tool-call timeline
voyager search "tensorboard"
voyager repo E:/code/myproj # cross-agent timeline for a repository
voyager export <id> --format md   # or --format json (includes raw events)
voyager resume <id>         # launches the native agent on that session
voyager handoff <id> --to codex   # context package for another agent
voyager continue            # one command to pick your latest work back up
voyager thread list         # WorkThreads: task-centric session groups
voyager switch codex        # switch the active thread to another agent
voyager skill install       # teach other agents about voyager
voyager brief               # 48h digest of what every agent is doing
voyager files <id>          # files the session touched
voyager diff <id>           # Claude sessions: rebuilt before/after diffs
voyager stats               # index statistics

Cross-agent handoff is work continuation, not session migration (the other agent cannot inherit hidden tool state or cached reasoning). voyager handoff <id> --to codex extracts the session into a Context Package (goal, instructions, files touched, commands, errors, where the work stopped) and shows the launch command; add --launch to start it. The target is told to read the package file and continue โ€” works for claude, codex and grok; other targets get the file to paste. Same-provider pickup still uses native resume (codex resume, โ€ฆ).

One command to continue: voyager continue picks your newest session and does the right thing โ€” native resume for codex/claude/dsh/grok, automatic handoff package for the rest. voyager continue --repo myproj --launch goes straight back into a specific project; multi-session synthesis (voyager merge A B C) groups the work into a WorkThread and cross-agent switch is one command (voyager switch codex โ€” lease aware, see docs/ROADMAP.md).

Goal-conditioned & budgeted: add --goal "finish adapter tests" to rank the evidence, and --budget compact|balanced|full|Nk to cap the bundle size (estimate printed). Without --goal/--budget the output is unchanged.

Transcript mode (opt-in, experimental): voyager switch codex --mode transcript writes a NEW native session containing a flattened user/assistant transcript (tools/state dropped) so the target resumes natively. Only codex/grok pass the resume gate today (claude timed out, dsh unverified) โ€” the default remains the Continuation Bundle. This is work continuation, not session teleportation: hidden tool state and provider runtime state never move.

Everyday flow โ€” brief to see what's moving, export to read one session in full (a 2,915-message DSH session โ†’ a 20 MB Markdown file), continue or handoff to pick it back up. Full recipes in docs/WORKFLOWS.md.

Session ids are matched by prefix; if a prefix is ambiguous Voyager lists the candidates and exits. resume runs the native agent's own command (e.g. codex resume <id>); providers without a CLI resume path say so explicitly instead of pretending.

Startup Continuity โ€” product status

Core functionality: Complete and operational.
Runtime auto-trigger: Claude Code has a native SessionStart hook, and Voyager registers one. Whether Claude Code actually fires it is not yet verified on a live run.

The startup_continuity() function correctly discovers WorkThreads, auto-attaches sessions, and compiles continuation context. What varies per provider is whether a session start can reach that function without the user doing anything.

Provider classification:

Provider

Skill

MCP

Status

What it means

Claude

Y

R

H โ€” hook registered

Native SessionStart hook installed; trigger not yet observed live

Codex

Y

R

A โ€” startup-assisted

No native hook; needs an explicit call

Grok CLI

Y

N

N โ€” no mechanism

Best effort

DSH

Y

N

N โ€” no mechanism

Best effort

Legend: Y = installed, R = registered, N = unsupported, A = available/manual setup needed.

Startup status: Y = zero-touch verified live, H = native hook registered but the live trigger is not yet verified, A = startup-assisted, N = no hook. Only Y claims the provider fires the hook by itself; nothing currently claims Y. Run voyager integrate status for the live answer on your machine.

How Claude Code hooks work here

Claude Code reads SessionStart hooks from ~/.claude/settings.json. Voyager writes the documented shape:

{
  "hooks": {
    "SessionStart": [
      {
        "matcher": "startup",
        "hooks": [
          {"type": "command", "command": "\"<abs python>\" \"<abs>/claude_session_start.py\"", "timeout": 120}
        ]
      }
    ]
  }
}

voyager integrate install claude writes this for you (it is additive โ€” your own hooks are preserved, and the file is backed up first). The installed command uses absolute paths, so it does not depend on the interpreter being on PATH.

Two things are verified, one is not. The handler is verified end-to-end: it emits a protocol-valid payload, caps the injected context at 9,000 UTF-16 code units, spills the full bundle to ~/.voyager/context/, and exits 0. The registration is verified: voyager integrate status reads the file back. What is not verified is Claude Code itself invoking the hook โ€” that needs one manual run:

claude --debug hooks --init-only     # expect: Found 1 hook matchers in settings

Until someone sees that line, treat the trigger as unproven. See claude_continuity_verdict.md for the full evidence trail.

What works right now โœ…

  • startup_continuity() handles discovery, attach, staleness detection

  • Auto-attach works when conditions are safe (exact repo match, single thread)

  • Context compilation reuses existing ranker+budget+continuation pipeline

  • A compiled context bundle is cached in the store and reused across session starts (5-minute TTL, invalidated by git changes or thread membership changes)

  • Ambiguity protection: explicit error if multiple active threads

  • Auto-registration creates config files for Codex/Claude (voyager integrate install <provider>), including the native Claude Code hook

How to use today ๐Ÿ”ง

Recommended workflows:

  1. Native hook (Claude Code): voyager integrate install claude, then restart Claude Code. No further action โ€” if the hook fires, context is injected before your first turn.

  2. Explicit commands: voyager switch <agent> or voyager continue [id]

  3. MCP-assisted: in-agent tool call voyager_startup(provider="codex", cwd="$PWD")

  4. Skill guidance: read SKILL.md in the agent's skill directory

A (startup-assisted) means: the runtime will not reach Voyager on its own. Codex does not automatically call voyager_startup at session start โ€” you must invoke it via one of the workflows above. MCP registration is fully automated; startup invocation is not.

voyager integrate install claude   # skill + MCP + native SessionStart hook
voyager integrate install codex    # skill + MCP (~/.codex/config.toml)
voyager integrate status           # per-provider truth, including whether the hook is registered
voyager integrate remove claude    # removes only Voyager's entries, leaves your hooks alone

See docs/DOGFOOD.md for the detailed verification procedure.

Integration โ€” teach agents about Voyager

Install the Skill file into known agent directories:

voyager skill install      # installs SKILL.md at ~/.{agent}/skills/voyager/SKILL.md

The Skill instructs agents when to use Voyager commands and when NOT to (never export full sessions).

To register Voyager as an MCP server so agents can query it with native tools:

voyager integrate install codex    # skill + MCP (~/.codex/config.toml)
voyager integrate install claude   # skill + MCP + native SessionStart hook (~/.claude/settings.json)
voyager integrate status           # per-provider truth, incl. whether the hook is registered
voyager integrate remove <provider>  # undo every step (skill + mcp + bootstrap + hook)

These commands now auto-create config files if they don't exist - no manual setup needed for first-time installation. Re-running is idempotent, and install merges rather than overwrites: your own hooks and settings are preserved, and the file is backed up before it is rewritten.

For verification of actual zero-touch startup behavior, see docs/DOGFOOD.md and claude_continuity_verdict.md.

Supported platforms

Platform

Source

Messages

Tool calls

Shell exit

File diffs

Tokens

Resume

Codex (CLI/VSCode/Desktop)

rollout JSONL

โœ…

โœ…

โœ…

โŒ

โœ…

โœ… codex resume

Claude Code

project JSONL + file-history

โœ…

โœ…

โœ…

โœ… version chain

โœ…

โœ… claude --resume

ZCode

SQLite (~/.zcode/cli/db)

โœ…

โœ…

โœ…

โš ๏ธ file events (edits stay in raw)

โœ… usage tables

โŒ desktop only

DSH

zstd JSONL (~/.dsh/sessions)

โœ…

โœ…

โŒ

โŒ

โŒ

โœ… dsh --resume

Grok CLI

chat_history.jsonl + summary.json

โœ…

โœ…

โŒ

โŒ

โŒ

โœ… grok -r

Cursor

state.vscdb (SQLite)

โœ…

โœ…

โŒ

โš ๏ธ in raw

โš ๏ธ

โŒ IDE only

Kiro IDE

workspace-session JSON

โœ…

โŒ not persisted

โŒ

โŒ

โŒ

โŒ IDE only

Antigravity

conversation SQLite (protobuf)

โš ๏ธ heuristic

โš ๏ธ heuristic

โš ๏ธ text

โš ๏ธ snapshots on disk

โŒ

โŒ IDE only

Cursor and Antigravity adapters are marked experimental: Cursor reads its key-value store read-only and Antigravity decodes protobuf blobs heuristically (no public schema). Full per-field availability matrix and data-source paths for every tool are in docs/RECON.md.

Tests & CI

Adapters are the part of Voyager that breaks when a vendor ships a storage change, so every platform has a regression test against a synthetic fixture โ€” no real session data, no agent installation needed:

tests/
โ”œโ”€โ”€ fixtures/          # codex/claude/dsh/grok/kiro JSON+JSONL, zcode/cursor/antigravity SQL seeds
โ”œโ”€โ”€ conftest.py        # builds tmp trees (incl. zstd + SQLite) and repoints adapters at them
โ”œโ”€โ”€ test_codex.py  test_claude.py  test_zcode.py  test_dsh.py  test_grok.py
โ”œโ”€โ”€ test_cursor.py  test_kiro.py  test_antigravity.py  test_adapters.py
โ”œโ”€โ”€ test_store.py  test_export.py  test_handoff.py  test_cli.py  test_mcp.py
โ”œโ”€โ”€ test_claude_session_start_hook.py   # the SessionStart entrypoint: protocol, size cap, spill, logging
โ””โ”€โ”€ test_context_cache.py               # the persisted context cache, incl. hostile input
python -m pytest tests/ -q                # 363 collected: 345 passed, 18 skipped โ€” adapters, store, continuity, budget, leases, switch, skill, API, MCP, integration
python scripts/run_tests_core_only.py     # same suite with no optional deps (skips extras)

CI (.github/workflows/test.yml) runs the suite on Python 3.10โ€“3.13 (Linux) and 3.10/3.13 (Windows โ€” the adapters deal with %APPDATA%, drive letters and backslashes), plus a core-only job proving the CLI works with zero optional dependencies. The store tests cover the "don't wreck my thousands of sessions" contract: repeated scans never duplicate, changed sources are re-parsed, vanished sources are pruned.

Design

Provider files are read-only. Adapters translate each platform's events into one normalized model (Session / Event) while keeping the raw provider event alongside โ€” nothing is lost, giant blobs are truncated with a pointer back to the source. Everything lands in a local SQLite index with FTS5 (trigram, so CJK substring search works). Scans are idempotent: sources are tracked by (mtime, size) and re-parsed only when they change; sessions whose source files vanish are pruned.

Details in docs/ARCHITECTURE.md, docs/DECISIONS.md, docs/API.md and docs/FAQ.md and everyday recipes in docs/WORKFLOWS.md.

What's next

The Continuity Engine core is complete (see docs/ROADMAP.md for the full close-out). The post-1.0 backlog โ€” VS Code Context Composer UI, auto-clustering research, Claude/DSH transcript gates, scoped scan, fs-event watcher, PyPI/packaging polish โ€” lives in docs/POST-1.0.md.

Phased plan, CLI sketches, and the issue list: docs/ROADMAP.md ยท ไธญๆ–‡.

License

MIT โ€” see LICENSE.

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