SourceVault vs. Cursor, Copilot, and Cody

A private, self-hosted alternative for teams that can't send source code to the cloud.

Cursor, GitHub Copilot, and Sourcegraph Cody are excellent tools, and for most teams the cloud is a fine place to do this work. This comparison is for teams where it isn't: regulated industries, defense and ITAR, IP-sensitive firms, and anyone whose security review ends the conversation at "your source code is transmitted to a third party." If that describes you, the differences below matter. If it doesn't, one of the other three is probably a better fit than SourceVault.

The core distinction: contractual vs. architectural privacy

Copilot's enterprise data controls and Cursor's privacy mode are contractual: your code is still processed on the vendor's servers, and you trust their pipeline to neither retain it nor train on it. SourceVault removes the question instead. The code is never transmitted, because retrieval, embeddings, and answer generation all run on your own machines, and you can confirm with a network monitor that nothing leaves. A security review that stalls on "the vendor promises to delete it" tends to go a lot faster when the code never left the building. An air-gap requirement makes the choice for you.

Side by side

Cursor GitHub Copilot Sourcegraph Cody SourceVault
Where code is processed Cloud Cloud Self-host index; cloud LLM Fully local
Privacy model Contractual (privacy mode) Contractual (data controls) Contractual / deployment Architectural, verifiable
Air-gap capable Cloud service Cloud service Cloud LLM in typical deployments Yes, fully offline
Git-history answers ("why did this change?") Not a documented feature Not a documented feature Not a documented feature Indexed & cited
File-and-line citations as a benchmarked guarantee Not published Not published Not published 100% cited on the public benchmark
Retrieval quality measured on your code No published per-install eval No published per-install eval No published per-install eval Eval report per install
Read policy + secret redaction + AI-commit provenance in one layer No documented equivalent No documented equivalent No documented equivalent Sentinel: policy + DLP + provenance
Works across AI tools Own editor GitHub tools only Own interfaces MCP (any client)
Pricing model Per seat / month Per seat / month Per seat / month One-time, no per-seat

Competitor cells describe publicly documented behavior as of mid-2026. "Not documented" and "not published" mean we found no public documentation of an equivalent — not proof one doesn't exist — and capabilities change; if a cell is out of date, tell us and we'll correct it. We have not yet published a scored head-to-head on answer quality; when we do, it will include both sides' full transcripts (see how we benchmark). The rows least likely to change are the architectural ones: where code is processed, and whether privacy is a property of the design or a clause in a contract.

Where each tool wins

Cursor is the most polished AI-native editing experience, and if cloud processing is acceptable, its inline flow is hard to beat. Copilot reaches more IDEs and developer tools than the others, and has the backing of GitHub. Cody brings Sourcegraph's strong code search to the assistant and can self-host its index, which gets it closest to SourceVault's privacy posture, though its answering models typically run through cloud LLM providers, which rules out a true air gap.

SourceVault wins on one axis: nothing leaves your network. It is not an IDE and it won't autocomplete your keystrokes. It is a code-memory layer that gives whatever AI you already use (Hermes, any MCP client, your own agents) cited answers about your code and its history. If your security org has already said no to the three tools above, this is the remaining way to get AI answers over your private code.

The thing none of them do

Cloud assistants index the current state of your code. SourceVault also indexes your commit history, locally, so it can answer "why was this changed?" and "when did this break?" with citations that reach the commits themselves. Cloud indexers skip history for a reason: making it queryable on their side would mean uploading commit messages that describe your vulnerabilities, incidents, and internal decisions. We wrote about why that matters

What about the free, local, open-source tools?

The other question worth asking in 2026 is about the free local tools: why not a local code-graph server plus an agent-memory layer? Those projects are good, they run locally, and if all you need is retrieval for a personal project, use one.

The one-sentence answer: they help your agents read code — SourceVault is how an organization can allow it, and prove afterwards exactly what the AI read. None of the free tools have an access policy deciding which files an agent may read, a DLP pass redacting secrets before content reaches a model, a tamper-evident audit chain a security reviewer can verify offline, or signed attestations on AI-authored security-relevant changes — and that governance layer (the SourceVault Gateway) is wired into the data path, in front of every read; bolting something equivalent onto a retrieval tool would take far more than a weekend. If nobody in your org has to answer for what AI touches, the free tools are genuinely fine. If someone does, that person is who SourceVault is for.

See it measured, then prove it on your code

SourceVault's retrieval scored 100% cited, 100% correct on a public benchmark, and the same harness ships in every install. You can reproduce the measurement on your own repositories during the free 7-day trial.

Read the benchmark  ·  Install free (7-day trial)