WeWorkBuddy

Show HN: Renor – one memory for all your AI agents

Hey guys, I built Renor, one memory for all your agents, we got good results in benchmarks using less tokens. I built this because I was annoyed that my agents kept forgetting what I said and my existing solutions weren't good enough. It works by using a ledger of markdown that you can export.

Read original source
Source page screenshot: Show HN: Renor – one memory for all your AI agents
Source page screenshot · news.ycombinator.com

Source record

Recorded metrics

points · 2 votes
2026-11-05 10:00:27.559Z
cumulative since publication

Research analysis

Project record

Repository: renorai/renor-engine. Source account: Hey guys, I built Renor, one memory for all your agents, we got good results in benchmarks using less tokens. I built this because I was annoyed that my agents kept forgetting what I said and my existing solutions weren't good enough. It works by using a ledger of markdown that you can export.

Observed adoption & comparisons

Source votes: 2 votes (Nov 5, 2026 UTC; cumulative since publication); previous same-scope observation: 2 (Nov 5, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “google/skills” (GitHub Trending, Nov 5, 2026); “mattpocock/skills” (GitHub Trending, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.