The AI code reviewerthat remembers
SourceAnt reviews every pull request against a living knowledge graph of your code and past decisions, so it catches more and repeats nothing.
Context-aware review flags the blast radius a diff hides and the mistakes that read just fine, before they ship.
Context is captured, human-approved, and served to any AI tool over MCP, so your assistant shows up already knowing the code.
Open source and self-hostable. Your context lives in your repo and travels across every AI tool, never locked to a vendor.
Self-host free ยท No credit card to try the cloud
Your AI writes code. It just does not know yours.
So you spend your day catching mistakes it should not have made.
It ships bugs that read just fine
The code compiles and looks right, then a subtle logic error reaches production because nothing checked it against how the rest of the system behaves.
It touches code you did not ask it to
One prompt and it helpfully rewrites a working function or strips a workaround it decided was dead. Now you are reviewing damage.
It reinvents what you already built
A brand new helper instead of the one three files over, because the AI never saw your existing utilities or conventions.
You re-explain the project every session
New chat, blank slate. You paste the architecture, the constraints, and the decisions again, then again tomorrow.
One platform
One layer for AI-assisted engineering
SourceAnt Cloud brings four capabilities together, so your tools understand the codebase instead of skimming it.
Reviews that catch more
Every pull request checked against the graph, so the blast radius a diff hides and the bugs that read fine get flagged before they merge.
Context that persists
Decisions, constraints, and workarounds captured once, human-approved and git-versioned, so nothing has to be re-explained.
A graph, not guesswork
Your code and decisions linked into a typed graph, so tools follow real relationships instead of skimming files.
Lower token bills
Retrieve only the relevant subgraph instead of whole files or full history. Fewer tokens, sharper answers.
Portable
Works with the tools you already use
SourceAnt speaks MCP, so your context and reviews show up in whatever your team codes with. No lock-in, no new habits.
See it
See it in action
Reviews on your pull requests, in a dedicated review surface, and served to your AI tools.
How it works
A graph, not a pile of text
Capture the why, link it into a knowledge graph, and serve only the relevant slice to any AI tool the moment it acts.
1. Capture
Context is extracted from reviews, sessions, and decisions, then written back to your repo for a human to approve.
2. Structure
Everything is linked into a knowledge graph, code to decisions and decisions to each other, so retrieval is precise.
3. Serve via MCP
Any AI tool queries the relevant slice before it acts. No re-explaining, no context-blind suggestions.
In practice
Context arrives when your AI needs it
Before the assistant changes a line, SourceAnt hands it the decisions behind that code, so it does not quietly undo them.
You ask your AI: "Refactor the payment retry logic to use exponential backoff."
Max retry must stay at 3. Higher values caused duplicate charges in a past incident.
Jittered backoff did not work with the rate limiter. A fixed delay is intentional.
Idempotency keys are generated client-side. Changing this breaks the mobile app.
Illustrative example
Why not just comments, ADRs, or a vector database?
Structured, not prose. Context is typed and linked in a graph, so tools retrieve the exact slice instead of grepping comments that have gone stale.
Human-approved, not hallucinated. Every context object is reviewed by a person and versioned in git, unlike a vector store that guesses.
Portable, not locked in. Served over MCP to any AI tool, and open source you can self-host. No single vendor owns your context.
Who it's for
Whoever owns the merge button
The people accountable for what AI-written code does in production.
Leads & managers
You are accountable when AI code ships a bug. SourceAnt reviews every PR against your team's decisions and flags the blast radius before it merges, so quality does not depend on who reviewed it.
Senior developers
You have become the bottleneck, reviewing everyone's AI PRs and re-explaining the same context all day. SourceAnt reviews first and already knows the decisions behind the code, so you review less and trust more.
Junior developers
Ship with the context a senior would give you. SourceAnt explains the why behind each change and catches the mistakes AI makes in code it does not understand, so you learn faster and break less.
Give your AI a memory it can trust
Self-host the open-source reviewer for free, or start SourceAnt Cloud at $25 a month per team.