Hopsule
Persistent memory and decision layer for AI development
Details
- External ID
- 47415402
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- March 17, 2026
- Cohort
- —
- Upvotes
- 9
- Upvotes percentile
- 0.5393603936039361
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi HN! I'm building Hopsule.If you use AI coding tools like Cursor, Copilot, or Claude, you’ve probably seen this happen: The AI writes good code - but it ignores your architecture.It doesn’t know: - why you chose a specific pattern - which conventions your team agreed on - which decisions are already locked in So it falls back to generic patterns, outdated examples, or random GitHub training data. Over time this slowly breaks the consistency of the codebase.Most teams try to fix this with: - giant Markdown files - wiki pages - long prompts - Slack threads But those aren't machine-readable rules.So we built Hopsule. Hopsule turns architecture decisions into enforceable context that AI tools must follow.Example: Your team approves a decision: “All database access must go through the repository layer.” Hopsule records this as a rule and injects it into the AI context before code generation.No giant prompts. No manual context stuffing. No architecture drift.Website: https://hopsule.com Docs: https://docs.hopsule.com App: https://app.hopsule.com
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- memory and decision layer for ai development
- Manually corrected
- False
Could you build this?
Yes Hopsule is a persistent memory and context management service for codebases, which can be implemented with a vector database, AST code parser, and MCP/CLI interface.
Discussion
10 comments analyzed.
Competitors mentioned: claude-mem (persistent development memory tool), Traditional linters and code review tools
Concerns raised: Can't guarantee AI will actually call the MCP, Handling edge cases when existing rules don't cover situations, Scaling beyond developer workflows to non-technical users, Context orchestration complexity
Feature requests: Expand beyond developers to non-coders, Build proprietary IDE integration instead of relying on MCP alone, Larger audience/knowledge base capabilities
Competitors
Other products that read as similar to this one — 173 launches clear the similarity bar, closest 8 shown.
Attention rank: #88 of 174 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 132 days after the earliest competitor.
- Hopsule · hn · 2026-03-19 · 5 upvotes · similarity 0.82
- ContextPool · ph · 2026-04-13 · 179 upvotes · similarity 0.53
- ContextHarbor · ph · 2026-09-15 · 2 upvotes · similarity 0.47
- TraceMem · hn · 2026-01-12 · 15 upvotes · similarity 0.47
- Stop Claude Code from forgetting everything · hn · 2025-12-29 · 202 upvotes · similarity 0.46
- beyond-entity · github · 2026-09-10 · 10 upvotes · similarity 0.45
- CodeYam Memory · hn · 2026-03-04 · 17 upvotes · similarity 0.45
- Decispher · hn · 2026-08-31 · 5 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.