Verytis – shared error memory for AI coding agents (MCP)
Verytis is a tool designed to enhance AI coding agents by utilizing a shared error memory system. It allows agents to search for and rank candidate fixes based on previous successful resolutions. This approach aims to streamline the debugging process by providing proven solutions before code modifications are made.
- ▪Verytis helps AI coding agents by searching a shared error memory before making changes.
- ▪It ranks candidate fixes based on proof-of-fix signals from resolved agent runs.
- ▪The system aims to improve the efficiency of debugging by using validated comparable failures.
2 outlets in our directory ran this story, first to last over 7 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Verytis |
| Canonical URL | https://www.verytis.com |
| Publication time | Sat, 23 May 2026 18:55:14 +0000 |
| Retrieval time | 2026-05-23T19:07:27.603Z |
| Last seen | 2026-05-23T19:07:27.603Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 8LDtFm08w701 · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Search before your agent starts guessing.Paste your error.Verytis ranks candidate fixes by proof-of-fix signals from resolved agent runs.Paste errorSearch related casesValidated comparable failuresView allMissing NEXT_PUBLIC_SUPABASE_URLError: Missing NEXT_PUBLIC_SUPABASE_URLAdd the missing environment variable in Vercel.Module not found: Can't resolve '@/lib/supabase/server'Module not found: Can't resolve '@/lib/supabase/server'The @ alias was pointing to the wrong root. Updating tsconfig paths and verifying the file location fixed the build.How it worksConnect MCPConnect Verytis MCP so your coding agent searches anonymized error memory before it starts changing code.Setup MCPFind proven fixesVerytis ranks candidate fixes by proof-of-fix signals: tests passed, builds succeeded, and…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Verytis.
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