Open source · Source-verified · Benchmarked

Codebase intelligence that shows its work.

Give AI agents reusable codebase context that cuts token use. Find code-health and change-risk hotspots before you edit, and automatically generate architecture documentation that stays current.

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Benchmark leader

Retrieval + agent efficiency

0.876#1 file coverage

ContextBench, 42 sealed instances, Python and Go

31.6%#1 agent-loop reduction

django/django at a single pinned commit

0.74defect-prediction ROC AUC

21 repositories, 9 languages, 2,826 files

One shared codebase index

One index. Four practical outcomes.

Repowise connects source structure, git history, health signals, tests, and engineering decisions once. The same evidence then powers agent context, documentation, change risk, and code health.

Use fewer agent tokens

Give coding agents a compact, reusable model of the repository instead of making them rediscover structure and history on every task.

Architecture-aware context · CLI and MCP access

See agent context

Generate documentation that stays current

Build documentation from symbols, modules, dependencies, and decisions, then identify when the underlying source has changed.

Architecture and module pages · Source-linked explanations

Explore documentation

See change risk before the diff

Trace dependents, historical co-changes, ownership, and missing tests before a developer or agent edits a high-impact file.

Blast-radius analysis · Test and co-change gaps

See change risk

Find where code health is declining

Rank defect risk, maintainability problems, and static performance findings, then move from the score to the exact file and next step.

Defect-validated scoring · File-level findings

See code health
From index to everyday work

See what Repowise gives your team after the index is built.

For coding agents

Give agents precise context without resending the repository.

Index the codebase once, then let MCP retrieve the exact symbols, callers, decisions, health signals, and documentation an agent needs for the task in front of it. The agent spends less of its context window rediscovering the repository.

In our published Codex agent-loop benchmark, Repowise cut output tokens by 31.6%.

n = 43 · p = <0.0001 · Codex (gpt-5.6-sol) · django/django at a single pinned commit · 2026-08

Read the agent benchmark
Repowise refactoring analysis showing ranked, concrete plans that can be handed to a coding agent.

For safer changes

Find risky, unhealthy code before it slows a change.

See defect risk, maintainability, performance, churn, blast radius, and open findings in one evidence model. Drill from the repository score into the files and dependencies that make a change risky.

Scores are computed from repository evidence and checked against real bug-fix history—not generated as an untraceable opinion.

Explore code health
Repowise code health overview with defect risk, maintainability, performance, hotspot health, and a file-level health map.

For shared understanding

Generate documentation that stays tied to the source.

Turn the index into navigable documentation for the repository, its modules, and its files. Freshness status and source links make it clear what the page describes and when it needs to be regenerated.

Use the same documentation for onboarding, architecture reviews, and agent retrieval instead of maintaining separate snapshots.

Explore generated docs
Repowise generated repository documentation with freshness status, navigation, source links, and architecture details.

GitHub PR bot

Bring codebase context into every pull request.

Install the GitHub App to review a diff against the indexed codebase, its dependency graph, and its change history—where your team already decides what ships.

Changed contracts
See callers outside the diff before an interface change merges.
Missing co-changes
Catch files that history says usually move with this change.
Merge checks
Put deterministic repository evidence directly in the PR workflow.
Run it your way

One engine. Three ways to operate it.

Start locally, use the hosted product, or bring Repowise into an organizational environment without changing the underlying codebase model.

Open source

Index code locally, connect your tools over MCP, and keep control of the runtime and model provider.

View on GitHub

Hosted

Browse public repositories for free, sign in for 10 grounded answers each month, and add private repositories when you need them.

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Enterprise

Operate Repowise for an organization with the controls, support, and deployment model your environment requires.

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FREQUENTLY ASKED

Questions, answered

What does Repowise index?

Repowise analyzes source structure, dependencies, call relationships, git history, ownership, code-health signals, tests, and engineering decisions. It turns that evidence into a reusable codebase model and generated documentation.

Can I browse without signing in?

Yes. You can open and browse supported public repositories without an account or installation.

What do I get when I sign in?

The Free hosted experience includes 10 grounded answers each month. Those answers use indexed repository evidence rather than treating the codebase as an unstructured prompt.

Does Repowise replace my coding agent or IDE?

No. Repowise supplies codebase context to developers and existing tools through the hosted application, CLI, and Model Context Protocol. Your agent or editor remains where the work happens.

Can I run it myself or inside my organization?

Yes. The core engine is open source under AGPL-3.0 and can run locally with your model provider or a local model. Repowise is also available as a hosted product, with an enterprise path for organizational deployments.

Start with a real repository

Start with the code. Get to the answer faster.

Explore a public repository now, or sign in to ask 10 grounded questions each month.