RigelWhy Rigel

Why Rigel

Keep your agents. Add the chart.

You already have coding agents, reviewers and maybe a developer portal. Rigel is the layer between them and your system: the chart they work from, the blast radius on PRs you turn it on for, and the gates Rigel's own agents have to pass.

GitHub today. GitLab and Bitbucket are on our radar.

Position

Where Rigel sits.

One chart in the middle. Your tools orbit it. Tap any of them.

Rigel · the chart
See·Brief·Govern
Briefed over MCP

Coding agents

One gate among several

AI PR reviewers

Plus the topology

Context engines

Checked against code

Developer portals

Alerts in, gated PR out

Dependency bots

The chart in hand

Ops AI

The middle band. Agents get context from the chart. Rigel's own agents' changes pass through its gates on the way back.

Your system·Repos·Jira·Slack·CI·Confluence·Your cloud

context out (Brief) · changes back through gates (Govern) · your tools · your system, charted from code (See)

Capability map

Who's built for what.

Typical focus by category. Many tools span several, so treat this as a map, not a scorecard.

If you already pay for Copilot and Dependabot, keep both. Rigel adds what neither has: a map of how your services depend on each other, given to every agent, and gates on what Rigel's own agents merge.

Capability AI PR review
e.g. CodeRabbit, Greptile, Graphite, Copilot review
Context engines
e.g. Sourcegraph, Augment, Unblocked, DeepWiki
Coding agents
e.g. Claude Code, Cursor, Copilot agent, Devin, Codex
Developer portals
e.g. Backstage, Port, Cortex, OpsLevel
Dependency bots
e.g. Dependabot
Ops AI Rigel
What they're great at
Line-by-line review comments on every PRFocusNot the focusVariesNot the focusNot the focusNot the focusPartly — uses your reviewer
Writes code from a taskNot the focusNot the focusFocusNot the focusNot the focusNot the focusPartly — fixes, bugs, deps
Code search and Q&ANot the focusFocusVariesNot the focusNot the focusNot the focusYes — Ask Rigel
Ownership, scorecards, a developer front doorNot the focusNot the focusNot the focusFocusNot the focusNot the focusNo — keep your portal
Dependency alerts and version bumpsNot the focusNot the focusNot the focusNot the focusFocusNot the focusPartly — npm today
Incident investigationNot the focusNot the focusNot the focusNot the focusNot the focusFocusPartly — AWS, supporting
Where Rigel is different
Estate-wide, cross-service chart built from codeNot the focusVariesNot the focusVariesNot the focusNot the focusYes — Node.js / TS today
Branch-aware, refreshed on every mergeNot the focusVariesNot the focusNot the focusNot the focusNot the focusYes
Blast radius and risk score on PRsVariesNot the focusNot the focusNot the focusNot the focusNot the focusYes — enable per repo
Policy gates and supervised merge for agent PRsNot the focusNot the focusNot the focusNot the focusVariesNot the focusYes — Rigel's own agents
MCP both ways: serves the chart, uses your serversNot the focusVariesVariesVariesNot the focusVariesYes — 20 read-only tools
Self-host on your own model keyVariesVariesVariesVariesVariesVariesYes, in Beta — Beta
Agent-to-agent (A2A), with data scopesNot the focusNot the focusNot the focusNot the focusNot the focusNot the focusYes, in Beta — Beta
Where Rigel is weaker today
Languages beyond Node.js/TypeScriptVariesYesYesVariesVariesVariesPartial; Java, Python, Go Coming soon (details)
Code hosts beyond GitHubYesYesVariesYesVariesVariesNot yet; GitLab and Bitbucket on our radar
Service ownership, scorecards, catalogNot the focusNot the focusNot the focusYesNot the focusNot the focusNot the focus; keep your portal (catalog sync on our radar)
Hosted, no-install trialYesYesYesYesYesVariesNot yet (Cloud Coming soon)

Key: core focus · varies by tool, or partly · not the focus, or not yet

They're great at

Each category does one job well. Rigel isn't trying to replace any of them.

Rigel adds

The chart underneath them all: built from code, branch-aware, refreshed on merge, served over MCP, with gates on the agent PRs Rigel opens.

Use together

Keep what works. Point your agents at the chart and let Rigel govern its own changes.

Read the comparisons ↓

Comparisons

"Don't we already have this?"

Probably something nearby. Here's what's different, and the mechanism behind it.

AI PR review

You might use AI review bots on pull requests.

Great at — Fast, line-level feedback on every diff.

Rigel differs — It doesn't compete on comment quality. It governs the PRs its own agents open, and says why when it holds one.

Use together — For code changes Rigel's agents make, the supervisor requires GitHub Copilot code review as the reviewer of record.

How it works

Gates depend on which flow opened the PR. Semver and path gates are deterministic. The fixer loop is supervised and capped at four iterations. A [needs-review] title is a manual brake no gate overrides, and every green PR Rigel declines gets a decision comment.

Dependency and docs PRs are gated deterministically and don't need a reviewer. Any PR can also get a transparent 0–100 risk score once you enable Impact for that repo.

Backed by: PR Supervisor · PR Fixer · Repo Guard · .github/** write ban · Blast Radius

Rigel Autopilot →

Context engines

You might use a code search or semantic context engine.

Great at — Finding the right code fast in a large codebase.

Rigel differs — A persistent, branch-aware model of your service topology: services, APIs, queues, IaC and dependencies. Not only a semantic index.

Use together — Keep your search. Ask Rigel the system questions: who consumes this endpoint, package or queue?

How it works

Onboarding runs seven analysis passes per service, plus an AST code graph that uses no LLM. On every merge to a tracked branch, Rigel re-analyzes only the affected service documents, and any agent can query the result over MCP.

Node.js and TypeScript estates get the full chart today. Java, Python and Go service discovery is Coming soon.

Backed by: Deep Survey · branch-aware chart · Living Docs · Rigel MCP

Rigel Map →

Coding agents

You might use autonomous or background coding agents.

Great at — Turning a task into working code, quickly.

Rigel differs — It's the control plane above them. It briefs them with the chart over MCP, and Impact analysis can score their PRs.

Use together — Connect Claude Code, Cursor or any MCP client in one config entry.

How it works

20 read-only tools, including find_consumers and cross_repo_impact. Run it over stdio locally or as stateless Streamable HTTP at /mcp. Remote endpoint auth is Coming soon, so run it inside your network for now.

Rigel's own agents go further: every PR they open passes the supervisor's gates. Supervising PRs opened by external coding agents is Coming soon.

Backed by: Rigel MCP · Blast Radius · PR Supervisor · Playbooks

Rigel MCP →

Developer portals

You might use a service catalog or developer portal.

Great at — Ownership, scorecards and a front door for developers.

Rigel differs — Its catalog is derived from code, not maintained by hand.

Use together — Your portal's catalog stays where it is. Check it against Rigel's code-derived chart.

How it works

Deep Survey discovers services from manifests and source. Constellations group repos into one system view, and Living Docs keep it current on every merge. Catalog sync with portals is on our radar.

Backed by: Deep Survey · Constellations · Living Docs

Rigel Map →

Dependency bots

You might use a bot that raises dependency alerts and bumps.

Great at — Spotting vulnerable or outdated packages, repo by repo.

Rigel differs — It reasons over open alerts with the chart and opens one type-checked PR, with transitive dependencies pinned and its reasoning attached.

Use together — Keep Dependabot raising alerts. Rigel turns them into one governed PR.

How it works

Patch and minor bumps that touch only manifests and lockfiles can self-merge. Majors are held for a person unless policy allows them, and CI and infra paths are always denied.

npm ecosystem today. Maven/Gradle, pip/Poetry and Go modules are Coming soon.

Backed by: Dependency Upgrade Advisor · semver gate · path gate

Rigel Autopilot →

Ops AI

You might use an AI assistant for incidents.

Great at — Investigating incidents across logs, metrics and alerts.

Rigel differs — Ops isn't Rigel's lead. Its debug agent brings the chart to an incident, so you see which service and code path is involved.

Use together — Keep your on-call tooling. Open a Rigel session when you need the code side.

How it works

Read-only sessions correlate your AWS logs and metrics with code context. No edit, write, shell or web tools. AWS only today.

Backed by: Ops debug agent · staging alarm triage (AWS)

How it works →

Inside your boundary Beta

Self-host, on your own model account.

Full breadth (map, plan, impact, govern) in your own cloud, on the Anthropic API or Claude through your AWS account. Embeddings use Voyage AI under your own Voyage account.

Rigel Enterprise Beta · air-gapped install Coming soon · Enterprise →

Agent to agent Beta

Governed A2A, not open chatter.

Rigel speaks A2A on the official SDK: agents carry a data scope, peers sit in an auditable registry, and every outbound request passes a critic that fails closed.

A2A live agents · registry · depth-capped mesh · Autopilot →

Two more categories nearby

Docs automation. Rigel refreshes internal architecture docs and OpenAPI specs across many repos, delivered as one reviewable rolling PR per branch, with a scheduled drift check. It's for your engineers and agents, not a customer-facing docs site.

Requirements AI. Rigel Plan drafts solution designs grounded in your real service graph, with a critic that flags claims the chart doesn't support. Rigel Plan →

Why this is hard

Why a single agent vendor won't build this for you.

The map is built from your code, across every repo, and kept current on every merge. That history, and the policies you set on top of it, belong to your estate, not to one agent. Rigel is neutral: it briefs Claude Code, Cursor and any MCP client the same way, so you can switch agents without rebuilding the map.

Use together

Keep what works. Add the chart.

Briefs

Your coding agents

One config entry connects any MCP client. Turn on Impact per repo to score their PRs.

The one line
claude mcp add --transport http rigel \
  https://rigel.internal.example/mcp

Illustration. Run it inside your network until remote auth ships.

Gates around

Your reviewer

For code changes Rigel's agents make, GitHub Copilot code review is the reviewer of record. Rigel adds CI, thread, semver and path gates around it.

Checks

Your portal

Your catalog stays where it is. Rigel gives you the code-derived chart to check it against.

Consumes

Your dependency alerts

Open Dependabot alerts become one reasoned, gated PR. npm today.

Reports to

Your workflow

Jira for bugs and requirements, Slack for the flight log, Confluence for publishing (optional).

Reads

Your cloud

Read-only debug sessions against your AWS accounts, with the chart in hand.

See the control plane on your own system.

We'll chart a sample estate, or one of your repos.

Who builds it → Company