Hybrid retrieval
Each query combines semantic search and exact keyword matching, then fuses the rankings so the strongest results rise to the top.
The governed gateway between AI agents and private code
SourceVault runs on hardware you already own and sits between agents and your repositories, so every read is gated by policy and every access leaves evidence you can verify offline. Behind the gate, agents get what makes them effective — grounded, file-and-line-cited answers over your code and its entire git history. Nothing is sent to a third party.
What buyers get
The problem
Most code assistants upload your repository and answer from a lossy slice held in a cloud context window. On a large or sensitive repo, that creates privacy and compliance risk, and the answers get weak.
And even when the tooling is private, a security owner still has to answer for it: which repos and files can agents touch, and what exactly did the AI read last quarter? SourceVault is built for teams that need to permit AI on private code. It answers both questions on infrastructure you own: policy decides every read, and the log shows what the AI actually saw.
The engine
The engine implements textbook retrieval patterns, built directly on a local SQLite vector index and Ollama, with an optional Qdrant engine that SourceVault runs for you when full git history takes a repository to serious scale. The stack stays small enough to audit line by line.
Each query combines semantic search and exact keyword matching, then fuses the rankings so the strongest results rise to the top.
Files are split along function and class boundaries, so every result maps to readable code with exact line ranges.
Each chunk is embedded with its path and symbol names, so the vector store knows where each piece of code lives in the repository as well as what it says.
Ask mode checks whether it has enough context, retrieves again if needed, and answers only from source-backed snippets instead of guessing.
Cost model
An AI agent will re-read a whole file to find one function, then drag that stale context forward turn after turn. The waste compounds with every question a developer asks, and per-seat plans meter all of it. SourceVault answers from a bounded budget of cited file and line ranges instead. Repeated questions return from cache without a model call, and local models have no meter at all.
Why SourceVault
The engine tracks how your code connects, re-checks its answers as the code changes, and controls what AI tools are allowed to read. All of it is driven from a browser dashboard the whole team can use. A few highlights:
Ollama generates the embeddings and a local SQLite file stores the vectors, both on your own machine — no vector database service to run. The model that writes the answer runs there too.
Governed AI access to your code, in every license. The Sentinel policy gates which files can be read at all, a DLP pass redacts secrets from every answer before delivery, each decision lands in a tamper-evident hash-chained audit log, and AI-authored security-relevant commits get signed provenance attestations. Standard on every tier, and the free trial runs it on one repository.
Commit messages are indexed alongside code, so questions like "why was this changed?" and "when did this break?" are answered from the actual commits. Cloud indexers can't do this, since they only ever see a snapshot of the tree.
Ask one question across every indexed repository at once, with each citation tagged by repo. "How do the frontend and backend handle this?" comes back as a single answer. Standard from Pro up.
Pin a question as a standing check. After every reindex it runs again and flags you if the cited answer has drifted. Useful for questions like "did the auth flow change this sprint?"
An MCP server exposes the same engine to OpenClaw and any other MCP client, which get bounded, cited context instead of re-reading files. The server itself is local-only. Pair it with a local-model client and the whole loop runs offline; a cloud-backed client sends what it retrieves to its own vendor, by your choice.
Pricing
Every license carries the SourceVault Gateway, the same governed path the free trial runs. What changes between tiers is the number of sources you index, where a source is a repository or a local folder, and how many machines run it. There are no per-seat or per-token fees, and loose files you add individually share a single source slot.
One command installs the full product with one source for 7 days, with the SourceVault Gateway running on that repository. No account, no card. If it can't answer questions about your code with file-and-line citations, don't buy it.
$1,350 one-time
For one engineer running coding agents on their own private repos.
$4,500 one-time
For a small team running AI across several private repos, and asking questions that span them.
From $8,200 one-time
The same product rolled out to a team: several machines, a large monorepo, a guided setup.
Custom
For regulated or air-gapped environments that need the compliance story in writing.
An access policy over what AI can read, secrets redacted from every answer, a tamper-evident audit chain, signed AI-change provenance, and named agent identities. The same governed path the free trial runs.
What agents accessed, what was stopped, and chain verification in one click.
The version you install is yours forever; renewing updates later costs a fraction of list price.
The license key arrives by email, activates instantly, and verifies offline. No login, no phone-home.
The one optional subscription: a support SLA plus hands-on help, model and resource tuning for your hardware, and reindex strategy when embedding models change. Flat $195/mo for any plan. Requires an active SourceVault license (buy with the same email). Cancel anytime.
Your license and installed version work forever. When your 12-month updates window ends, renew to keep receiving new releases: Starter $550, Pro $1,850, one-time. The fresh key arrives by email and replaces the old one in the dashboard's License settings.
A "From" price is a floor; your quote is fixed before work starts, and you get a straight recommendation even if the right answer is the smaller package. Every license carries a 14-day money-back guarantee, and nothing ever auto-renews; the details are in the billing & refund policy. Starter customers can upgrade to Pro any time for the difference in list prices ($3,150 today), from the dashboard's Settings once you're licensed, or email support.
Deployment
The models, the index, and the dashboard all run on machines you control. One command installs everything on macOS, Linux, or Windows (WSL2), or use the shared Docker Compose deploy where teammates on any OS connect through the browser. Every install includes the 7-day free trial.
Questions?
Team and Enterprise rollouts, air-gapped installs, checkout trouble, or anything the trial can't settle: email us and you'll get a straight recommendation, usually the same day. For install help, Discord is fastest.