Your AI agent is smart enough.
It just doesn't know your codebase.
vexp gives your coding agent the domain knowledge it's missing. Better context in, better code out.
One-time email with install links. No spam.
20 lookups/day on free · 30 seconds to set up · No credit card
Sound familiar
You ask Claude to fix a 3-line bug. It rewrites the entire module instead.
The agent ignores your existing patterns and reaches for an architecture you don't use anywhere in the codebase.
By message 15, the agent contradicts what it said at message 3 — and "fixes" code it already touched.
These aren't model problems. The model is brilliant.
These are context problems. The agent doesn't know which code matters, so it guesses.
Proof
Same model. Same prompt. Different context.
Task: "Fix the JWT expiry check in login"
Files in context
Files in context
Different result.
Token figures are the per-call numbers of the vexp context-capsule demo. File counts and test pass rates reflect typical session patterns reported by users.
How it works
Three steps. No magic.
Index, rank, deliver. The pipeline turns your repo into ranked context an agent can actually use.
Index your project.
AST graph + change coupling + LSP edges, built in under 15s for a 5,000-file repo. All local. Zero network calls.
Match task intent to code.
The pipeline ranks pivot files by relevance, returns skeletons (signatures, no bodies) for the supporting cast, ignores noise.
Surgical context, better output.
Your agent reads 3–5 ranked files instead of 47 random ones. Same model. Same prompt. Better code.
Works with the agents you already use
Benchmark
Measured on SWE-bench Pro.
The full public set: 731 real GitHub issues, one session per task, the official Scale AI harness. Claude Code running Claude Opus 5 with vexp resolves
Fable-5-level results from Opus 5.
At half the token price. 597 of 731 tasks resolved.
$1.52/task in Opus 5 tokens over the full run. 95% confidence interval 78.7–84.3 on a single run, which holds both figures Anthropic publishes: parity with Fable 5, at half its token price. Every session is published, because senior engineers deserve methodology, not marketing.
Full methodology, cost breakdown, every sessionThe differentiator
Your agent remembers what it learned yesterday.
Observations are linked to code symbols, not chat turns. When you refactor a class, vexp invalidates the stale memories automatically. When you come back tomorrow, your agent picks up with fresh context — not stale advice from 3 commits ago.
The only context engine where memory expires when your code does.
No competitor does this. Augment indexes commit history; vexp anchors memory to live code structure.
Adoption
9,000+ developers shipping with vexp.
Used daily across 12 AI coding agents.
Pricing
Flat pricing. No credits. No surprises.
One price per seat. Index any repo, run every tool — no metering.
Free
For personal projects. No account.
- 20 AI lookups per day
- Up to 2,000 nodes indexed
- 1 repo workspace
- Context search & session memory
- VS Code extension or CLI
Pro
For senior devs shipping daily.
- 1,000 lookups per day, far above interactive use
- Impact analysis & blast radius
- 50,000 nodes indexed
- Up to 3 repos per workspace
- Intent detection + CodeLens
- Change coupling + cross-repo edges
- Email support
Team
Shared context for your engineering team. Min 3 seats.
- Unlimited nodes & repos
- Shared workspace + git index
- Priority paths & team analytics
- Priority support
- All Pro features included
Need a custom solution? Talk to us →
Install in 30 seconds.
Free tier. No credit card.
One-time email with install links. No spam.
Cancel anytime. Works with the agents you already use.