GateGraph – deterministic governance for AI agents
GateGraph is a deterministic governance layer designed for AI-agent actions, focusing on evaluating requests before execution. It ensures that execution authority remains separate from the model while providing bounded governance decisions. The current release emphasizes local, single-node operation without public internet exposure or autonomous capabilities.
- ▪GateGraph evaluates action requests and produces governance decisions such as allow, block, or review.
- ▪It is not an autonomous agent or a policy-learning system and does not support multi-node consensus.
- ▪The current release is limited to local operation and does not include public deployment capabilities.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 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/humancoreai/Gategraph |
| Publication time | Mon, 18 May 2026 06:45:49 +0000 |
| Retrieval time | 2026-05-18T06:54:56.073Z |
| Last seen | 2026-05-18T06:54:56.073Z |
| 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 | 4gQiJmh_GA9A |
| 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
Release: v0.17.1_STABLE GateGraph Current release: v0.17.1_STABLE Base: v0.17.0_STABLE Base stable: v0.17.0_STABLE Status: candidate Version: 0.17.1 Phase: Promotion Status Drift Guard Release focus: Promotion Status Drift Guard GateGraph is a deterministic governance layer for AI-agent actions. It evaluates requested actions before execution, produces bounded governance decisions, and keeps execution authority outside the model. What GateGraph is GateGraph is designed to sit between an agent or operator workflow and an action surface. It can: evaluate action requests, return allow/block/review/approval decisions, issue bounded capability-token surfaces, produce audit and explainability artifacts, run deterministic evidence checks.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.