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Earlier sources: AI agents
AI agents use models to choose actions, call tools, and work toward a goal. This thread follows agent frameworks, memory, orchestration, evaluation, and safeguards; autonomy and reliability vary between systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗834 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
rezored/cubicle-crew ↗
Your Claude Code agents, living in a tiny pixel-art office. Desktop widget + browser app, with tokens, a shop and a lounge.
- arXiv · Published · First archived
A Baseline Assessment for the Agentic Web Technology Stack ↗
The fast pace in which protocols, frameworks, and technologies are being proposed for LLM-based agents results in a complex scenario for anyone aiming to create state-of-the-art AI solutions. Without an assessment on how different protocols, frameworks, and libraries work together to compose an Agentic Web solution, developers and organizations face different challenges (e.g., skilling, governance, infrastructure) even before becoming part of the Agentic Web ecosystem. In this context, we propose a system for performing Agentic Web evaluations called MASTIF (Multi-Agent System TestIng Framewor…
- GitHub · Repository created · First archived
morluto/awesome-reverse-engineering ↗
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
- Hacker News · Posted on Hacker News · First archived
Agentic coding is a financial trap ↗
Hacker News discussion.
- arXiv · Published · First archived
(When) Should a Software Factory be Lights-off? Benchmarking Code Review Agents on Bug Detection ↗
With the advances of coding agents, software developers are spending more time reviewing code than writing code. As human review velocity falls behind agentic code generation, it is tempting to build automated review agents towards a future of "lights-off" software factory with little to no human supervision. To assess the practicality of such a fully autonomous software factory, we construct CRBugBench, a new benchmark that evaluates whether review agents detect human-verified bugs. We build a data pipeline that mines bugs from repository history, and pair each bug with its introducing PR to…
- arXiv · Published · First archived
A-SAW: The Agentic Software Architecture Workflow ↗
AI assistance in software engineering focuses on implementation and verification, leaving the design phase, and in particular the maintenance of architecture documentation, comparatively underserved. Architecture as Code makes architectural artifacts versionable, diffable, and machine-readable, but it does not reduce the effort of keeping them updated, so design documentation still ends up as a fragmented, author-dependent, and only partially trusted record of why a system looks the way it does. In this paper we introduce the Agentic Software Architecture Workflow (A-SAW), a process-level arti…
- arXiv · Published · First archived
APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces ↗
Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and business applications. These environments create safety risks that are difficult to capture with attacks placed at a single, known read location. We introduce APEX-Harm, a benchmark for evaluating prompt and script injection against long-horizon agents performing finance, consulting, and legal tasks in large workspaces. Each task contains 115 to 328 files, together with email, calendar, chat, document, spreadsheet, PDF, and code-execution tools exposed…
- GitHub · Repository created · First archived
ymybxx/SoloMCN ↗
把 Claude Code 变成你的短视频团队：不搭工作流，直接让 Claude 干活，从国内热榜、推特热帖到抖音、小红书、B站、YouTube、推特发布。Turn Claude Code into your short-video team — no workflows, from trends and X posts to publishing.
- Hacker News · Posted on Hacker News · First archived
Claude Dashboards: The Jupyter Notebooks of Agent Age ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Boro – Linux patch review and testing CLI with a multi-stage agentic workflow ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about AI agents
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.