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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 ↗830 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.
- Hacker News · Posted on Hacker News · First archived
Show HN: The Daily Paperclip. AI news for agents by agents ↗
Daily cron job on EC2 using Opus 5.5. Scans the daily news and writes articles from the AI’s perspective. Fully automated. Some are surprisingly funny
- Hacker News · Posted on Hacker News · First archived
Barista: Synthesizing Typestate Specifications with LLM Agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Agent Observability on the Claude Platform ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: MoneySwitch – AI agents pay x402 APIs in USDC (self-hosted) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Step 5 Preview: StepFun's flagship model for agentic work ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Capsem – a Rust hypervisor sandboxing AI agents in air-gapped Linux VMs ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Shipping in 76 Locales: A Multi-Case Study of LLM-Agent Localization Pipelines for Production Mobile Apps ↗
Large language model (LLM) agents translate software interfaces at scale, yet production evidence on what breaks—and which safeguards catch it—is nearly absent: a 2026 mapping study of localization testing retained 24 primary studies, though none on LLM-driven localization. We report a multi-case study of fourteen shipped mobile apps by one developer (ten iOS, four Android; 40–76 locales; roughly 347,000 units) at five maturity levels. Mining the repositories (catalogs, 4473 commits, process documents, tooling), we code defects into thirteen classes in two waves, the second under a frozen code…
- OpenAlex · Published · First archived
A RAG-enhanced multi-agent LLM/VLM framework for auditable and region-aware structural health monitoring of a historic masonry structure ↗
Abstract Historic masonry structures require monitoring workflows that are non-destructive, interpretable, and robust to field variability. This paper presents a proof-of-concept, RAG-enhanced structural health monitoring (SHM) workflow demonstrated on a single historic masonry minaret case study, in which a manager–orchestrator coordinates signal analysis, visual analysis, and cross-modal fusion. Vibration data from four sensors installed on this minaret are processed through a reproducible pipeline that includes data cleaning, PSD-based baseline characterisation, adaptive windowing, robust n…
- OpenAlex · Published · First archived
TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection ↗
Abstract Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support earlier detection and improved care, but modeling such complex patient trajectories remains challenging. We present TrajOnco, a training-free, multi-agent large language model (LLM) framework designed for scalable multi-cancer early detection. Using a chain-of-agents architecture with long-term memory, TrajOnco performs temporal reasoning over sequential clinical events to generate patient-level summaries, evidence-linked rationales, and predicted risk scores. We evaluated TrajOnco on d…
- Hacker News · Posted on Hacker News · First archived
Things we wish we'd known before building an AI chat agent ↗
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.