repowise vs DeepWiki: Self-Hosted Codebase Docs That Stay Fresh

Pick DeepWiki to read a public GitHub repository in the next five minutes; pick repowise when the documentation has to run on your own infrastructure and do more than describe the code. DeepWiki, from Cognition (the company behind the Devin coding agent), is a hosted AI wiki. repowise is an open-source engine that builds the wiki from your code graph, then adds git ownership, hotspots, code health, dead code and decisions, and serves all of it to coding agents through ten MCP tools.

To see DeepWiki on any public repository, swap github.com for deepwiki.com in its URL. DeepWiki details below are as of October 2026, from Cognition's DeepWiki documentation and DeepWiki MCP documentation. repowise details are from release 0.59.

repowise vs DeepWiki at a glance

DeepWiki is a hosted wiki and chat; repowise is a self-hostable index whose wiki is one of several views.

What DeepWiki does well

DeepWiki is one of the fastest ways from a GitHub URL to a structured, browsable explanation of a public codebase. Swap github.com for deepwiki.com in a repository URL and you get a wiki with architecture diagrams, links back to source and an "Ask Devin" chat grounded in the generated pages. No install, no account, no configuration.

A .devin/wiki.json file in the repository lets maintainers steer which pages get written, with notes and a page hierarchy, per the DeepWiki docs. The DeepWiki MCP server at https://mcp.deepwiki.com/mcp is free and needs no authentication for public repositories. Its three tools, read_wiki_structure, read_wiki_contents and ask_question, are a convenient way to let a coding agent read the docs of an open-source library you depend on.

For teams already on Devin, the same wiki is available for private repositories inside the Devin app, alongside the agent they already use.

What repowise adds

repowise indexes a repository once into a local graph and its git history, then reads that one index as a wiki, a health report, an ownership map and a set of agent tools. The graph, git, health and dead-code layers make no model calls.

The code, the index and the model calls stay on your infrastructure

repowise is AGPL-3.0 and installs with pip install repowise. repowise init writes the index to .repowise/ next to the repository, and raw source is parsed in memory, never persisted. Model calls are optional and go to the provider you configure, including a local Ollama model, so a fully offline setup sends nothing outside your network.

A complete wiki with no API key

repowise renders most of its wiki from the code's structure: a page per source file, per selected public symbol, per subsystem, per dependency cycle, per infrastructure file (Dockerfile, CI, IaC) and per API surface, plus a repository overview and onboarding pages. repowise init --no-prose builds all of it with no key and no spend. A provider key adds model-written prose to the subsystem and overview pages; it never switches the wiki on.

Pages refresh incrementally. repowise update re-renders only the pages your commits touched, and each page carries a freshness status of fresh, stale, expired or unknown. repowise restyle re-renders the whole wiki in another voice (repowise wiki-styles lists them), and repowise export --format markdown writes it out as files. See the wiki feature page for the page types.

repowise-dev/repowise: the generated wiki, with a freshness marker on each page

Git history the wiki cannot show

A wiki describes the tree as it is today; repowise also reads how it got there. From git log and git blame, with no model and no network, it records who owns each file and module, the bus factor behind it, which files are hotspots (complex and often changed) and which files change together with no import between them. The FastAPI ownership map shows the result on a live public index.

repowise-dev/repowise: files that change together, mined from git history

Code health, dead code and decisions on the same index

repowise scores every file from 1 to 10 for defect risk, maintainability and performance with deterministic detectors, and ranks a Fix first queue of what to change, where and which tests to run. Scored before the bug window, the defect score predicts which files get bug-fixed over the next six months with a ROC AUC of 0.74 across 21 repositories, per our published benchmarks. Dead code is reported by confidence tier, and the decisions layer ties architectural decisions from ADRs, # WHY: comments and PR history to the code they govern. The FastAPI code health page shows all of it live.

repowise-dev/repowise: a decision captured from the code, with its rationale and the files it governs

Your hand-written docs, checked against the code

Doc drift is the half of documentation a generator does not touch. On every init and update, repowise checks your own markdown against the graph: file paths that no longer exist, links to missing documents, anchors to renamed headings, commands the manifest no longer declares, and function or class names that git proves were defined when the line was written and are defined nowhere now.

Structured tools for coding agents

repowise serves the index over MCP as ten tools: get_answer, get_context, get_symbol, search_codebase, get_risk, get_change_risk, get_why, get_overview, get_health and get_dead_code. Where DeepWiki's MCP server returns wiki pages and answers, these return callers with confidence, ownership, risk, health findings and the decision behind a file, on private code, from a local process. repowise init registers the server with Claude Code; repowise mcp starts it for any other MCP host. repowise for AI agents covers what each tool returns.

Self-hosting a DeepWiki-style wiki

Cognition documents no self-hosted edition of DeepWiki. The project people find when they search for one is DeepWiki-Open by AsyncFuncAI, an independent MIT-licensed project with about 18,000 GitHub stars as of October 2026. It generates a wiki for GitHub, GitLab and Bitbucket repositories using OpenAI, Gemini, OpenRouter, Ollama and other providers, and it is a good fit when a self-hosted wiki is the whole requirement.

repowise is the self-hosted option when the wiki is one view among several: ownership, health, dead code, doc drift, decisions and MCP tools come from the same repowise init. Our guide to DeepWiki for private repositories compares every private-repo route on cost, data handling and freshness.

Which one to pick

Pick DeepWiki if:

• You want to read a public GitHub repository now, with nothing to install.
• A hosted wiki and a chat over it are the whole requirement.
• Your team already works in Devin and wants the wiki next to the agent.

Pick repowise if:

• Code, index and model calls must stay on infrastructure you control.
• You want ownership, hotspots, code health and dead code next to the docs.
• Your coding agents should call structured tools on private repositories, locally.
• Your hand-written docs should be checked against the code on every commit.

Use both if you read open-source dependencies through DeepWiki and keep your own repositories indexed in repowise. Both are MCP servers, so one agent can query the DeepWiki server for a library's docs and repowise for your code.

Try it on your repo

The fastest evaluation is the same repository in both tools. For DeepWiki, open https://deepwiki.com/<owner>/<repo>. For repowise, paste the same public URL on the repowise.dev homepage, or index it locally:

pip install repowise
repowise init --no-prose        # graph, git history, wiki, MCP registration; no API key
repowise serve                  # browse the wiki and dashboards at localhost:3000
repowise context src/auth/session.py --include ownership

repowise init parses the code, mines git history, renders the wiki and registers the MCP server with Claude Code. Drop --no-prose once a provider is configured to add model-written prose. The repowise repository has the full quickstart.