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Synapse

Codebase memory for AI coding agents

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AI coding agents re-read your code on every task: burning tokens and breaking things they didn't know about. Synapse gives Claude Code and Cursor a memory of your codebase: the exact files to change, what could break and the tests to run, plus a check before "done", a PR bot, and Ask for any GitHub repo. 58% fewer tokens on real tasks. Try any public repo free, no signup.

PH · launched Nov 6, 2026 · 1 upvote (top 65%) · 0 views

Niche: ai agent memory infrastructure · 350 launches, 16 in the last 7 days ▼ -27% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Partial A GitHub bot, an MCP integration, and a basic code-search memory are buildable, but accurate impact analysis and reliable 'what could break' predictions require deep static analysis across languages.

What it would actually take: Use tree-sitter or language servers to parse repositories into a symbol and dependency graph, store it in a graph or vector index, and expose it through MCP and a GitHub App for PR checks. The hard part is precise cross-file impact analysis, dynamic-language edge cases, and keeping the index fresh at repo scale. This needs compiler or static-analysis expertise and careful evaluation to avoid misleading agents.

Competitors

Other products that read as similar to this one : 1224 launches clear the similarity bar, closest 8 shown.

Attention rank: #723 of 1225 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 367 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.