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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 ↗848 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.
- OpenAlex · Published · First archived
X-MAG: LLM-driven multi-agent framework for XML-based SysML model generation ↗
Model-Based Systems Engineering (MBSE) has become a fundamental methodology for managing the complexity of modern engineering systems. However, conventional MBSE modeling remains labor-intensive and requires substantial expertise in both systems engineering and domain-specific knowledge. Recent advances in large language models (LLMs) provide new opportunities for automating MBSE workflows, yet direct LLM-based model generation still faces critical challenges, including the difficulty of producing well-formed XML structures, limited support for mature standards such as SysML 1.6, and insuffici…
- OpenAlex · Published · First archived
From Infection to Oncology: AI-Assisted Drug Repurposing Uncovers Anti-Infective and Excipient-Class Compounds as PPAR-α-Linked Anticancer Agents ↗
Drug repurposing offers an efficient strategy to identify novel anticancer agents from marketed compounds. We screened a library of ~1400 approved drugs using a PPARE–PPAR-α luciferase reporter assay to uncover modulators of lipid metabolism that induce cancer cell death without direct binding to PPARα. This primary screen identified 224 compounds inhibiting reporter activity by >50%, of which 26 demonstrated ≥50% cytotoxicity in KAIMRC1 breast cancer and HCT116 colorectal cancer cells at 10 µM after 48 h incubation. AI-based DrTarget analysis classified these hits, with Group 1 comprising fou…
- OpenAlex · Published · First archived
Physics-grounded multi-agent architecture for traceable, risk-aware human–AI decision support in manufacturing ↗
High-precision CNC machining of free-form aerospace components requires bounded compensations informed by inspection, simulation, and process knowledge. Off-the-shelf large language model (LLM) assistants can generate text, but they do not reliably execute risk-constrained multi-step numerical workflows or provide auditable provenance for high-stakes decisions. We present multi-agent knowledge analysis (MAKA), a decision-support architecture that separates intent routing, tools-only quantitative analysis, knowledge graph retrieval, and critic-based verification that enforces physical plausibil…
- Hacker News · Posted on Hacker News · First archived
When and why prototyping is still needed when working with AI agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The AI Agents Pitching Lit Mags to Stay Alive ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The Agentic Web Needs a Protocol Stack ↗
Hacker News discussion.
- GitHub · Repository created · First archived
Alpha-Park/genpark-distributed-agent-heartbeat-liveness-watchdog-skill ↗
Distributed Agent Fleet Heartbeat & Liveness Watchdog. Monitors heartbeat signals across distributed autonomous agent nodes, dynamically computes jitter-aware failover deadlines ($T_{\text{timeout}} = \mu + 3\sigma$), isolates zombie/stalled workers, and coordinates state checkpoint hydration and failover rerouting.
- GitHub · Repository created · First archived
alphaparkinc/genpark-distributed-agent-heartbeat-liveness-watchdog-skill ↗
Distributed Agent Fleet Heartbeat & Liveness Watchdog. Monitors heartbeat signals across distributed autonomous agent nodes, dynamically computes jitter-aware failover deadlines ($T_{\text{timeout}} = \mu + 3\sigma$), isolates zombie/stalled workers, and coordinates state checkpoint hydration and failover rerouting.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agentic-cart-abandonment-recovery-orchestrator-skill ↗
Autonomous Agentic Cart Abandonment Recovery Orchestrator. Monitors abandoned checkout sessions in Meta Muse, Shopify, and WhatsApp Commerce, diagnoses friction causes (shipping cost shock, size doubt, payment hesitation), crafts margin-preserving dynamic incentive vouchers, and synthesizes multi-channel win-back messages.
- GitHub · Repository created · First archived
alphaparkinc/genpark-agentic-cart-abandonment-recovery-orchestrator-skill ↗
Autonomous Agentic Cart Abandonment Recovery Orchestrator. Monitors abandoned checkout sessions in Meta Muse, Shopify, and WhatsApp Commerce, diagnoses friction causes (shipping cost shock, size doubt, payment hesitation), crafts margin-preserving dynamic incentive vouchers, and synthesizes multi-channel win-back messages.
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.