
Cli
io.github.aligndottechPublished by GitHub account aligndottechv0.68.1Updated Nov 7, 2026
Cross-tool decision memory for AI coding agents: search your decision graph, check changes over MCP.
Overview
Align's local CLI exposes a team decision graph over MCP so coding agents can look up why code is the way it is before changing it.
- What you can do
- Search the decision graph and get answers with sources about why code or a file is the way it is
- Check a proposed or staged change against recorded decisions before it is written
- Import decisions from Git history, GitHub, GitLab, Jira, Confluence, Linear, Notion, Slack, Teams and Zoom (read-only)
- Wire the graph into editors and agents, with edit hooks, editor rules and a shared project config
- Inspect and undo what setup wrote, and run diagnostics
- When to use it
- Useful when an assistant edits an existing codebase whose rationale lives in commits, tickets and chat rather than in comments, and you want it to stop and cite the decision behind a line before rewriting it.
- Requirements
- Runs locally as a CLI installed from npm (Node 22.19+) or a standalone binary for macOS, Linux and Windows; desktop only. Run it inside a git repo. No account is needed for a local graph; a team graph needs an invite and login. Optional AI keys (Anthropic, OpenAI, Gemini and others) or a local Ollama model for terminal answers and blocking checks.
Installation
In SourceWeft
- Open Cli in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Align CLI
[npm version] [CI] [License: MIT] [Node]
Your AI agents know the code. They don't know the company.
Align collects your team's decisions from commits, tickets, chat and meetings into one graph. Your coding agent can look up the decisions behind the code, and where each one came from, before it changes it.
No Node? curl -fsSL https://align.tech/install.sh | sh installs a standalone binary instead.
[The same prompt to Claude Code, without Align and with it]
The same prompt, two real runs on Align's own repo (14 Oct 2026). The text is copied from those runs and shortened. The GIF replays it, so it isn't a live session (how). Without Align the agent plans to skip signature checks; with it, the agent stops and cites the decision that ruled that out.
Run it in a git repo. The first run builds a graph from your commit history. After that, align
opens Align's own coding agent over that graph, and refreshes connected sources in the
background, at most every 15 minutes per source (align sync --off turns that off).
You choose what runs behind it:
- Your own API key (Anthropic, OpenAI, Gemini and others, set with
align ai), or a local model through Ollama. - Your own Claude Code. Anthropic does not let other apps use a Claude subscription, so with no key Align drives your installed Claude Code and you stay on your plan. Align never sees your Claude login.
align --engine align or align --engine claude picks one, and Align remembers it. Every edit is
checked against the graph before it is written. An edit that rewrites lines a decision wrote
waits for you to allow it or stop it.
Prefer your agent's own interface? align -- <args> still opens it with the graph connected.
MIT, no account needed. Beta, pre-1.0.
Try it on a repo you didn't write
Fastify decided its error handler only keeps status codes from 400 to 599 (PR #7089). Nothing in the code says why. Ask your agent to undo it and see what happens:
Then, in Align:
In our run on 28 Oct 2026, the edit hook found #7089 from git blame on the lines being
changed, with no AI key, and Claude stopped before editing and cited it. On 4 Nov 2026, on
0.66.1, Claude asked Align over MCP before it tried an edit, so the hook never fired. It cited
#7089 and #601 (2018: "do not allow set status code to lower than 400"), changed nothing, and
asked what to do. Models are not deterministic, so your run may word it differently.
On 6 Nov 2026 we ran the same prompt in Align's own agent, once on Claude Code and once on an
OpenAI key. Both times the agent tried the edit, Align found #7089 from git blame and asked
first, and after "stop" the agent cited #7089 and changed nothing.
Install
- npm:
npm install -g @aligndottech/cli(Node 22.19+). - macOS / Linux, no Node:
curl -fsSL https://align.tech/install.sh | shinstalls a standalone binary and checks it against the release checksums. Read install.sh first if you like. - Windows: npm in PowerShell. The
curlline needs a POSIX shell (Git Bash or WSL). Without Node, downloadalign-windows-x64.exe(or-arm64) from the releases page, rename it toalign.exeand put it on yourPATH.
More in docs/installation.md.
How it works
- Import. Reads decisions from Git (commits that state a reason), GitHub, GitLab, Jira, Confluence, Linear, Notion, Slack, Teams and Zoom. Read-only.
- Link. Records what was decided, why and by whom. Related decisions surface as related. Telling replaced from conflicting needs an AI key locally, or a team graph.
- Check. Your agent queries the graph over MCP, an edit hook, CI or
align ask.
align wires it in four ways, so the check runs whether or not the model thinks to ask:
Before writing anything, setup lists every file it will create or change, with files outside your
project (an agent's own config, user-level hooks) under their own heading, and asks. With no
terminal to ask in (an agent's shell, CI) it writes nothing unless you pass --approve.
To undo everything align wrote, run align use --undo.
The hook never blocks on a model's judgement unless you turn blocking on, and that needs an AI
key. One thing can deny without it, on a team graph: a rule your team ratified (secrets, card numbers,
emails), when the edit contains one. If Align is slow, errors or times out, the edit goes ahead. If you uninstall align, rerun
align mcp --setup: an older Copilot CLI hook file can deny edits until it is rewritten.
Hook limits worth knowing:
- Cursor, Copilot CLI and Gemini CLI only hand the result to the model after the edit lands. That's a limit of their hook APIs.
- Only Claude Code's hook has been run in a live session. pi, Gemini CLI and OpenCode are written
from the vendors' docs or source, and Codex, Cursor and Copilot CLI have not been checked
against a real payload. The last three read hooks from a user-level file (
~/.codex/hooks.json,~/.cursor/hooks.json,~/.copilot/hooks/align.json). - pi's MCP entry needs the third-party
pi-mcp-adapterpackage installed in pi. pi also blocks a repo's MCP servers until you trust the project, and Align's entry counts as one, so accept pi's trust prompt or Align's tools won't load.pi -pskips the prompt and runs without them. - Claude Code asks you to approve a committed hook the first time. Accept, or it won't run.
Your first five minutes
Setup ends with three prompts to type into your agent, built from your own repo:
After that the check runs on its own on every edit, and the agent tells you in one line when it found a related decision. Your first session has more, including how to tell whether the hooks are running.
Everyday commands
align --help lists ask, connect, check, share (alias push), mcp and agents. The
rest (search, decisions, stale, export, ratify, context, ...) still work and are in
docs/commands.md.
Something not working? align doctor checks Node, that align is on your PATH, that the gateway
answers, that your token is accepted, and that one real question comes back through align mcp.
It names the next step for each failure and exits non-zero if any check fails. It sends no
telemetry.
Inside your agent, the agent writes the answers, so you don't need an AI key. Only align ask
in a terminal writes its own. Give it a key (Anthropic, OpenAI, OpenRouter, Gemini, Groq,
Mistral or xAI), a local Ollama, or any OpenAI-compatible endpoint. Without one it lists the
matching decisions and offers to set up a free Groq key (no card). With several, align ai
picks one. Setting one up.
Privacy and telemetry
The local graph is a SQLite file on your machine, and embeddings run on-device after a one-time
~23MB model download from huggingface.co. In local-only mode your decisions and code never go to
Align. If you set an AI key or run Ollama, align ask sends your question plus the titles and
summaries of the decisions it found, and align check sends up to 2,000 characters of the proposed
change, to your provider and not to Align (the MCP check does the same). Ollama counts as yours, wherever
OLLAMA_HOST points. Team graphs are hosted by Align, or self-hosted,
so the team can share them.
Local-only mode sends anonymous usage counts. It tells you once before the first one and sends
nothing from CI. Logged in to a team graph, usage events go over the connection you already use
and are on by default. Either way, align telemetry off stops them.
What touches the network and every field we send.
Teams
Team graphs are by invitation: your admin sends a link, and you run align join (docs). Already
have a team graph? Run align login, then align. Setup connects your tools with read-only OAuth
and wires up your editors. Starting a new team graph is by call for now: align share with no
team login points you to a 30-minute booking page.
A personal email doesn't get a cloud graph, so solo use is the local graph. Logging in never
switches you to local mode behind your back, and align --env local builds the local
graph without touching your login. Joining your team.
Docs
Why bother
One published study gave a coding agent the product decisions on record and saw decision compliance go from 46% to 95% (Dillon & Varanasi, arXiv:2605.08112). It's a small vendor study, 8 tasks and 41 decision points, and it isn't our data.
Our own benchmark is on our own repos: 29 decisions, every answer labelled by a person. With Align the agent followed the current decision in 139 of 145 runs, with read-only repo search 96 of 145, and with no tools 34 of 145. Where the decision was never written in the code, it was 29 of 30 against 5 of 30. It's dogfood, not customer data, and the product was tuned on these tasks. Method and raw results.
Wiring context into an agent is the easy part, and that's what this repo is. The hard part is keeping an accurate record of what your team actually decided, across every tool.
Want a hand setting it up? I do free 30-minute calls: https://calendly.com/tom-align/setup
License
MIT, see LICENSE. The CLI, the MCP server and the connector SDK are open source. The hosted team product is a separate commercial service.
Source: README.md at commit 80dd536
Tools
0Version history
32- v0.68.1LatestNov 7, 2026
- v0.67.1Nov 4, 2026
- v0.67.0Nov 4, 2026
- v0.66.1Nov 3, 2026
- v0.66.0Oct 29, 2026
- v0.65.0Oct 25, 2026
- v0.64.1Oct 25, 2026
- v0.63.0Oct 21, 2026
- v0.62.0Oct 21, 2026
- v0.61.0Oct 20, 2026
- v0.60.0Oct 19, 2026
- v0.58.0Oct 19, 2026
- v0.57.1Oct 18, 2026
- v0.57.0Oct 18, 2026
- v0.55.1Oct 15, 2026
- v0.54.0Oct 13, 2026
- v0.53.1Oct 12, 2026
- v0.52.0Oct 12, 2026
- v0.51.0Oct 12, 2026
- v0.50.0Oct 10, 2026
- v0.49.0Oct 10, 2026
- v0.48.0Oct 9, 2026
- v0.47.0Oct 9, 2026
- v0.46.1Oct 8, 2026
- v0.46.0Oct 8, 2026
- v0.45.0Oct 4, 2026
- v0.42.0Sep 23, 2026
- v0.41.0Sep 22, 2026
- v0.40.2Sep 20, 2026
- v0.40.1Sep 19, 2026
- v0.39.0Sep 17, 2026
- v0.38.0Sep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts