Without Argos, your AI guesses. It writes greps. It reads 30 files. Or it hallucinates code that isn't there.
Your engineers ship faster than ever. But the code landing in production was written by a model that guesses — and the people who buy from you know it.
Your enterprise buyer has read the same numbers. That's why they're asking — and "trust me" isn't an answer anymore.
ArgosBrain is a local structural graph of your codebase — every symbol, every call, every import — that your coding agent queries via standard MCP. Claude Code, Cursor, Codex, Cline, Aider — all talk to it natively with zero changes to your workflow. And because the graph is exact, not guessed, the same engine turns it into the signed report you hand to a customer or an insurer.
Run ArgosBrain and you get a report that answers the exact questions a procurement security review, a cyber-insurance underwriter, or an investor's diligence team will put to you.
These aren't opinions from a model. They're structural facts, traced from your actual code — the same whether you run it today or a year from now.
Every place your software meets someone who has to trust it — a buyer, an underwriter, an investor, your own on-call — is a door. Slop keeps it shut. A verifiable report opens it.
Every door above opens with the same engine — the one accurate enough to lift a frontier model past its ceiling. ↓
Claude Opus 4.8 scores ~87% on SWE-bench Verified — 500 real-world bugs from open-source projects, each graded by hidden tests. Going higher is brutal. We connected it to ArgosBrain — exact answers from any codebase, instantly — and pushed it to 91.4%, past Anthropic's own published number. 22 hard bugs it failed on its own, now solved.
Axis windowed to 84–92% — every point at the frontier is hard-won. Full data + runner: github.com/CataDef/LongMemCode/tree/main/swebench_verified_argos
If ArgosBrain is accurate enough to lift a frontier model past its ceiling, it's accurate enough to prove your code is safe. Same engine. Same exactness.
The existing options — LongMemEval, RULER — measure generic recall on chat transcripts. None of them touched actual codebases. We authored ours and put it under MIT.
LongMemCode kubernetes-2k is our open-source corpus of 1,456 structural scenarios across 8 categories on the real Kubernetes v1.32.0 codebase (333 MB Go source, 38,771 symbols, 232,756 call-graph edges) — symbol existence, caller enumeration, reachability, naming convention, blast radius, plus 100 real bug-fix commits mined from git history. Every scenario has a deterministic ground truth derived from the actual AST. No LLM judge. Either the answer matches the AST or it doesn't.
Yes, we built it. Yes, our engine runs against it. But the runner, the scenarios, and the per-scenario raw results are public — anyone can clone, run on their own laptop, and try to break the numbers. Reproducibility is the only honest answer to "but you graded yourselves." Source: github.com/CataDef/LongMemCode
17,171 files. 303,722 symbols. 2,245,124 call-graph edges. Two runs, two skills. Security audit: 22 sink categories triaged, zero reachable critical findings, library gaps disclosed publicly. 70 seconds, $0.33. Architectural code tour: the AI deduced the engineering culture — spine, heartbeat, naming convention modulo machine-generated noise. 6 seconds, $0.11.
We didn't write these. Claude Opus 4.7 did — unprompted — during a live 1 237-turn coding session on a production Next.js SaaS. These are its own-word notes on what ArgosBrain caught that grep and guesswork missed — the exact structural facts a report is built from. The eighth card (multi-modal) ships in v0.2 — it arrived after the review, so it's ours, labelled as such.
"The initial audit scoped src/app/api/ and found two SSRF sites. ArgosBrain surfaced four more in src/lib/services/ — the agent had to follow causal edges across directories Grep wasn't pointed at."
— Claude Opus 4.7 · dogfood session · 2026-04-22
2× RECALL VS. GREP"Argos returned a CLEAR match: uploadVideoToTikTok(videoBuffer: Buffer, …) takes a Buffer, not a URL. The agent was about to patch the call site as if it accepted a URL — that retrieval prevented a silently-broken commit."
— Claude Opus 4.7 · dogfood session · 2026-04-22
PREVENTED A BAD COMMIT"Before deleting an RLS-bypassing route I thought was dead, I asked Argos for its callers. It returned NO_CONFIDENT_MATCH — exhaustive over the ingested codebase. Not 'I didn't find any'; 'there are none.' Deleted with confidence, no regression."
— Claude Opus 4.7 · dogfood session · 2026-04-22
SAFE DEAD-CODE CUT"I was about to write a new handler. Argos pulled up the existing one from an older session — same behaviour, already tested. Saved me a duplicate route and the tech debt that comes with it."
— Claude Opus 4.7 · dogfood session · 2026-04-22
NO DUPLICATE HANDLERS"Before adding a new admin check, Argos surfaced ADMIN_EMAILS as the project's established pattern. The agent used the same convention instead of inventing its own. Tiny detail; compounds over months."
— Claude Opus 4.7 · dogfood session · 2026-04-22
STYLE-CONSISTENT PRS"'Does sanitizeHtml exist in this project?' — answered 'no' in 40ms with confidence 1.0. Grep on 400 files would have taken a full second and left the question ambiguous. The agent stopped hunting for ghosts."
— Claude Opus 4.7 · dogfood session · 2026-04-22
< 50 MS DEFINITIVE NEGATIVES"Before committing to a feature, the agent used Argos to map every file a change would touch — six, across three service boundaries. It flagged the effort as disproportionate and deferred the work. A human tech lead would have done the same scope check."
— Claude Opus 4.7 · dogfood session · 2026-04-22
ACCURATE EFFORT ESTIMATES"User shared a UI mockup. The LLM interpreted it — 'a 3-step Stripe checkout, Place Order button disabled until terms accepted' — and Argos stored that interpretation linked to checkoutHandler. Two weeks later, the 'why is the button disabled?' question resolved instantly."
1 CALL = IMAGE + CONTEXT + CODE LINKEach is a working pipeline on the same deterministic engine — file-and-line evidence, runs locally, nothing leaves your machine. Click in for the full breakdown and how to run it on your own repo. See all services →
→ Underwriting or insuring AI-built software? ArgosBrain for cyber & E&O insurers →
Compiled Rust binary runs locally. Tree-sitter + SCIP parse your codebase into a unified graph. 28 languages. Updates instantly on file save.
Any agent asks structural questions via standard MCP tools — symbol_exists, resolve_member, list_symbols, search. Sub-ms answers. Integrate it into your custom internal tools effortlessly.
$0 per query, forever. No LLM in the retrieval loop. Local-first. Zero data egress. Toggle on/off, see the diff.
It guesses from a function's name and ships the wrong call.
ArgosBrain hands it the exact signature, every time.
Finds text, misses structure, and can't prove a negative.
We follow the call graph — and prove what isn't there.
An LLM's opinion about your code — non-deterministic, usually in their cloud.
Deterministic file-and-line facts, generated on your machine.
They ship your code to their servers and bill per query.
We run local. $0 per query. Zero data egress.
"We win at everything" is a lie and engineers smell it instantly. Here's what we don't ship today.
Cursor and Copilot ship assistance inside the editor with zero install. ArgosBrain runs as an MCP server your AI calls — one setup, every tool.
Cloud-hosted scanners run on their servers with team dashboards out of the box. ArgosBrain is local-first; a hosted dashboard is on the roadmap, not shipped.
Some scanners will rewrite your code and commit the fix for you. ArgosBrain reports the facts and leaves the fix to you and your AI — by design. Evidence, not edits.
For pure-English queries like "rate limit fail open" — no symbol names, no identifiers — Grep is still the faster tool. Argos is for structural code questions; we'll point you at Grep when that's the right answer.
Database rows, RLS policies, deploy logs, third-party API responses, runtime errors. Not our job. Use psql, provider CLIs, deploy hooks, browser devtools. We store code memory — not a proxy to production systems.
We don't ship a vision stack. Your agent's LLM interprets the file; we make sure that interpretation is remembered — linked to your codebase. One less binary, one less supply-chain surface, one less thing to audit.
Sign in with GitHub to get your free key. Your dashboard then shows a single copy-paste install line that includes your key — paste it in your terminal and you're done.
↑ This is what you'll paste in your terminal. Sign in to get the version with your free key embedded.
127.0.0.1:3733 — open it with argosbrain dashboard.No 30-day trial clock. No credit card on the Free tier. Cancel any paid plan at any time — your subscription stays active through the end of the billing period and we offer a 14-day refund on your first paid charge.
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