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#reference-implementation

@N01ennn: MICROSOFT QUIETLY SHIPPED THE RAG PIPELINE EVERYONE KEEPS TRYING TO BUILD FROM SCRATCH it is called Kernel Memory, and …

X AI KOLs Timeline ↗ · 2026-08-20 Cached

Microsoft has released an archived reference implementation called Kernel Memory for building RAG pipelines, which ingests data, embeds it, and provides cited answers, but it is intended as a learning resource, not production software.

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#reference-implementation

Introducing aiignore: A Portable Policy Standard for AI Agents

Reddit r/ArtificialInteligence ↗ · 2026-07-20

aiignore is an open specification and reference implementation for defining portable policies to control AI agents' access to files, environment variables, network, and output. The first public alpha release includes a TypeScript CLI and integrations for Codex and Gemini CLI.

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#reference-implementation

@yoheinakajima: two things ready to share from this weekend: http://learn.activegraph.ai interactive site teaching activegraph concepts…

X AI KOLs Following ↗ · 2026-06-08 Cached

Yohei Nakajima releases an interactive site teaching ActiveGraph concepts and AG Coder, an open-source reference coding agent built on ActiveGraph.

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#reference-implementation

@vintcessun: What troubles security teams most is too many false positives in the vulnerability discovery process and lack of closed-loop fix verification. Anthropic's reference implementation directly breaks the entire process into an auditable seven-stage pipeline. The core design is not about stacking features, but building a verification chain—each finding must go through independent sandbox reproduction, deduplication, scoring, and finally the patch must also pass regression testing...

X AI KOLs Timeline ↗ · 2026-06-05 Cached

Anthropic has released an open-source reference implementation for vulnerability discovery and remediation, building a verification chain with a seven-stage pipeline based on Claude, aimed at reducing false positives and ensuring closed-loop fix verification.

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#reference-implementation

Blaming the model won't fix your workflow — a white paper on structural enforcement for AI agents

Reddit r/artificial ↗ · 2026-05-29

A white paper that identifies 24 failure modes in AI agent workflows and proposes a structural enforcement architecture with three-layer enforcement, task graphs, and verification, along with a reference implementation in Common Lisp.

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