Nicola Alessi
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Vexp
Local-first context engine for AI coding agents
vexp gives your AI coding agent only the code that matters. It indexes your codebase into a dependency graph locally (Rust, tree-sitter, SQLite) and serves ranked context via MCP. Instead of reading entire files, the agent gets the relevant functions in full and connected symbols as skeletonized signatures. Works with Claude Code, Cursor, Copilot, and 9 more agents. 30 languages. Session memory with staleness detection. Zero cloud, zero network calls. Your code never leaves your machine.
About Vexp on Product Hunt
“Local-first context engine for AI coding agents”
Vexp was submitted on Product Hunt and earned 17 upvotes and 3 comments, placing #35 on the daily leaderboard. vexp gives your AI coding agent only the code that matters. It indexes your codebase into a dependency graph locally (Rust, tree-sitter, SQLite) and serves ranked context via MCP. Instead of reading entire files, the agent gets the relevant functions in full and connected symbols as skeletonized signatures. Works with Claude Code, Cursor, Copilot, and 9 more agents. 30 languages. Session memory with staleness detection. Zero cloud, zero network calls. Your code never leaves your machine.
Who hunted Vexp?
Vexp was hunted by Nicola Alessi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Vexp including community comment highlights and product details, visit the product overview.