ResiliReplay – Chaos testing for AI agents and MCP servers
ResiliReplay is a model‑agnostic TypeScript toolkit for chaos testing of AI agents and MCP servers. It records versioned events, injects seed‑controlled faults, and deterministically replays failures to generate regression tests. The tool runs locally without requiring API keys, paid models, Docker, or external telemetry.
- ▪ResiliReplay records versioned events and injects deterministic, seed‑controlled faults to test recovery behavior.
- ▪It replays failures deterministically and compiles the causal failure into an editable scenario and executable Node test.
- ▪The toolkit operates entirely locally, needing only Node.js and pnpm, and does not depend on external APIs or telemetry.
- ▪It provides audit reports for both AI agents and MCP servers and can generate regression tests from failed traces.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,986 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/aliengineering-byte/resilireplay |
| Publication time | Fri, 31 Jul 2026 01:44:29 +0000 |
| Retrieval time | 2026-07-31T01:49:02.910Z |
| Last seen | 2026-07-31T01:49:02.910Z |
| 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 | 3mF8Bl9jxV2J · 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
ResiliReplay ResiliReplay crash-tests AI agents and MCP servers, replays failures deterministically, and converts broken traces into regression tests. It is a model-agnostic, local-first TypeScript toolkit: record versioned events, inject seed-controlled faults, score recovery from declared evidence, and compile the first causal failure into an editable scenario plus an executable Node test. The deterministic path needs no API key, paid model, Docker, external account, telemetry, or LLM judge. ResiliReplay is defensive testing software. Audit only local or user-owned MCP targets. A report or badge is evidence for one declared suite and version, not a universal security certification. Five-minute quick start Requirements: Node.js 20 or 22 and pnpm.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.