OpenLore: Deterministic, local-first memory and guardrails for AI coding agents
OpenLore Deterministic, local-first memory and guardrails for AI coding agents — with no LLM in the hot path. One call tells your agent the code a task touches; one gate tells it what's unsafe to change. Re-record it yourself: docs/openlore-demo.tape.
- ▪OpenLore Deterministic, local-first memory and guardrails for AI coding agents — with no LLM in the hot path.
- ▪One call tells your agent the code a task touches; one gate tells it what's unsafe to change.
- ▪Re-record it yourself: docs/openlore-demo.tape.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,834 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
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 | GitHub |
| Canonical URL | https://github.com/clay-good/OpenLore |
| Publication time | Wed, 29 Jul 2026 23:06:53 +0000 |
| Retrieval time | 2026-07-29T23:26:26.423Z |
| Last seen | 2026-07-29T23:26:26.423Z |
| 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 | A8qWO9YsfXjx · 1 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
OpenLore Deterministic, local-first memory and guardrails for AI coding agents — with no LLM in the hot path. One call tells your agent the code a task touches; one gate tells it what's unsafe to change. Grounded in static analysis. No API key. Same answer every time. A real, unedited recording — the published openlore on a fresh clone of ripgrep. install wires your agent and indexes the repo live — 235 files, 2,978 functions, 4,329 call edges in 14 seconds, no API key → orient returns the code a task touches → review catches a signature change that left 39 callers stale → prove projects the payoff. Re-record it yourself: docs/openlore-demo.tape. Install · What you get · Benchmarks · Governance · How it works · vs.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.