CIPHER-Local indexes your workspace using Tree-sitter and serves structured code intelligence to AI coding assistants via MCP. Your AI can search symbols, resolve definitions, find references, and query dependencies — all from a local SQLite index. No cloud, no API keys, 13 languages, MIT licensed. Works with GitHub Copilot, Cursor, Claude Code, and Claude Desktop.
Hey Product Hunt! I'm Naman, a solo developer from India.
I built CIPHER-Local because I kept running into the same problem: AI coding assistants like Copilot and Cursor are great at generating code, but they don't actually understand your codebase. They scan open files and grep through text, but they don't know where functions are defined, what calls what, or how your modules connect. On large projects, this means hallucinated function signatures and missed cross-file references.
CIPHER-Local fixes this by indexing your workspace with Tree-sitter and serving 7 structured MCP tools on localhost — search symbols, resolve definitions, find references, query dependencies. Your AI assistant calls these tools instead of scanning files blindly.
Everything runs locally on SQLite. No cloud, no API keys, no account needed. 13 languages supported.
This is v0.1.3 beta — I'd love to hear what languages you work with, what breaks, and what tools would be most useful. Every install and every piece of feedback helps me figure out what to build next.
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About CIPHER-Local on Product Hunt
“Give AI coding assistants real code intelligence via MCP”
CIPHER-Local was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #157 on the daily leaderboard. CIPHER-Local indexes your workspace using Tree-sitter and serves structured code intelligence to AI coding assistants via MCP. Your AI can search symbols, resolve definitions, find references, and query dependencies — all from a local SQLite index. No cloud, no API keys, 13 languages, MIT licensed. Works with GitHub Copilot, Cursor, Claude Code, and Claude Desktop.
CIPHER-Local was featured in Productivity (649.7k followers), Developer Tools (511k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 279k products, making this a competitive space to launch in.
Who hunted CIPHER-Local?
CIPHER-Local was hunted by Naman Khater. 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.
Want to see how CIPHER-Local stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Naman Khater