Waypoint

Waypoint keeps one project log across your AI coding tools, so you can see where work stopped and what comes next.

You switch between projects and between Claude Code, Codex and ChatGPT. Each tool has its own memory, but none of them knows what the others did. Waypoint gives every tool the same record per project (what it is, where you left off, what's next, what needs attention), and shows where that record has fallen behind the actual activity.

The story: each project is a voyage, each AI tool a navigator, and the logbook is the ship's log they all write to. The dashboard is the chart.

It deals with two kinds of truth:

• Facts (where and when): which project, which tool, when, the last commit. Waypoint harvests these automatically from the tools' own local history and from git.
• Meaning (what and why): what got done, what's next, what's in the way. The AI tool writes this down as a short log entry, following one shared rule.

Where the two disagree, the chart says so. A tool that worked on a project but logged nothing leaves an unlogged watch (session). That's how the chart keeps itself honest, even when a tool forgets the rule.

$ waypoint refresh
Dashboard refreshed: 3 projects, 1 active this week, 1 attention item, 1 with unlogged sessions, 1 stale, 1 untracked folder.

That's the fictional logbook in examples/logbook/: its chart shows each case. waypoint refresh also writes chart.html, the same chart as a page you open in your browser.

Get started

Requires Python 3.11 or newer; no other dependencies. The arrow-key screen is optional: install waypoint-mcp[tui] (adds Rich and prompt_toolkit) and run waypoint.

macOS / Linux

pipx install waypoint-mcp         # or: python -m pip install waypoint-mcp
waypoint setup                    # fitting out: logbook, roots, the rule and MCP server for each AI CLI it finds
waypoint add ~/code/my-project    # chart a voyage (project); once per project
waypoint refresh                  # refresh the dashboard: DASHBOARD.md, dashboard.json and chart.html (--open opens it)
waypoint status                   # everything at a glance, with fixes for problems
waypoint archive <project>        # hide a finished project, keep its log (also: restore, remove, ignore)

Windows (PowerShell)

py -m pip install waypoint-mcp
waypoint setup
waypoint add $HOME\code\my-project
waypoint refresh

• waypoint not found? Its install folder isn't on PATH, and AI tools need it there too (they start waypoint mcp). Installed with pipx: run pipx ensurepath, then open a new terminal. Installed with pip: add the scripts folder pip warned about to PATH; until then python -m waypoint … (Windows: py -m waypoint …) runs it with that same Python.
• The screen (pipx install "waypoint-mcp[tui]"): waypoint setup walks through logbook, roots, projects and AI tools, shows every change in a Review and writes nothing before Apply; waypoint alone then manages projects (archive, restore, remove, ignore, track) and tools (connect, disconnect, fix drift) and shows status. Keys: ↑↓ move, Space toggle, Enter next, ← back, / search, Esc quit. Every action is also a plain command; without the extra, or with any setup flag, you get numbered prompts. NO_COLOR is honoured.
• setup shows every file it would change and asks once. It remembers the logbook, so later commands need no --logbook. It never edits your own CLAUDE.md or AGENTS.md text: it adds Waypoint's own file or a marked block, and waypoint rules --uninstall removes exactly those.
• Make the logbook a private git repo, then waypoint refresh --push pulls, redraws, commits only logbook data, and pushes.
• From a clone of this repo: python -m pip install -e .

Who's aboard

Automatic session history (which project, which tool, when) comes from Claude Code and Codex only. The other tools follow the rule and can use the MCP tools, but their sessions don't show up on their own.

• The rule tells the tool to add a log entry after meaningful work. The local MCP server (waypoint mcp, stdio) gives it four tools: take_fix (the overview), read_chart (one project), log_watch (append one log entry, with the tool's own id, under a lock; with done/next it also updates Done, Next and Updated in Now), and status (whether Waypoint is set up right: states and counts only, no paths).
• waypoint connect <cli> wires one CLI at any time, for every project. Add --project <repo> (repeatable) to wire only that repo: the rule goes into the repo (an import, a link to the logbook's rule, or a copied block) and the MCP entry is scoped to it; files Waypoint creates there stay out of git through .git/info/exclude. waypoint disconnect <cli> [--project <repo>] removes only what Waypoint added.
• MCP servers are registered through each CLI's own mcp add command where it has one (Codex and Copilot CLI per repo: Waypoint edits their repo file). If another server already uses the name waypoint, Waypoint registers as waypoint-local; --no-mcp installs only the rule. For Codex, Waypoint also offers to add the logbook to its sandbox's writable_roots (--no-writable-root skips it).
• waypoint rules reports each tool's rule: in sync, drifted, missing, or shadowed (Codex reads an AGENTS.override.md instead).
• Known limits: Claude Code deletes transcripts after 30 days by default. The Claude Code and Codex history formats are unofficial; the chart's source health says when a reader breaks.

Reading the chart

Waypoint never changes a project's Status, never archives, and never writes a log entry on its own: it flags, and you decide.

What the signals mean

• Activity means a tool touched the project (a session, a commit or a log entry). It doesn't mean work got done.
• Unlogged sessions are Claude Code and Codex sessions from the day after the newest log entry onward. Log entries carry a date, not a time, so work later on the same day as an entry counts as logged.
• Now behind log means the project's ## Now was last updated (its - Updated: date) before the newest log entry, so Where you left off and Next may be out of date. Projects without an Updated line never show it; log_watch sets it when you pass done/next.
• A log entry records what someone wrote down. It doesn't verify the code.
• Available context isn't proof that an agent read it.
• Freshness: chart.html and DASHBOARD.md are snapshots from the last waypoint refresh. The local MCP server reads the logbook live (AI activity is cached for up to 30 seconds). The beacon's dashboard fields are as of the last push; its log entries are read live.

Privacy

• Nothing leaves the machine on its own. The engine has no listener, sends no network requests, and keeps no telemetry. --push runs git against the remote you configured.
• The local MCP server answers only the AI tool that started it. That tool sends the results to its model provider, as it does with anything it reads. Results hold project names, statuses, Summary, Done, Next and recent log entries. Attention lines are left out unless waypoint.toml sets [mcp] include_attention = true. Session titles, file paths, untracked folders and the feed are never returned.
• Log text is free text: what you or your tools write there goes wherever those results go. Returned text is data for the tool, never instructions.

The three hulls

They're never mixed: the engine ships, and the logbook stays yours.

Raise the beacon

ChatGPT keeps no local history and can't start a local server. The beacon (beacon/, advanced) is a remote MCP server you host on Cloudflare Workers behind GitHub OAuth, answering only to your GitHub account. take_fix and read_chart read the chart; log_watch appends one chatgpt log entry to the logbook repo. Setup takes a Cloudflare account, a GitHub OAuth app and a fine-grained token: beacon/README.md. Without it, paste a ChatGPT summary into the project's file as a chatgpt entry.

Spec

The logbook format, the rule, the chart's JSON and every access contract are in docs/LOGBOOK-SPEC.md (v1.1). The story's glossary and voice are in docs/STORY.md.

Development

python -m unittest                # stdlib only (the screen's tests skip)
python -m pip install -e ".[tui]" && python -m unittest   # with the screen's tests
python examples/build.py --check  # the example chart (Linux or macOS)
cd beacon && npm test             # the beacon

Design decisions are in docs/decisions/; the release plan is docs/release/R0-SCOPE.md.