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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 ↗855 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
alphaparkinc/genpark-agent-hybrid-memory-retriever-skill ↗
Production-grade hybrid sparse-dense memory retrieval engine combining BM25 keyword search, semantic n-gram cosine similarity, and recency decay ranking for agent episodic long-term memory.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-sandboxed-virtual-code-runner-skill ↗
Deterministic sandboxed virtual code execution engine and AST security analyzer verifying multi-language agent code, blocking dangerous syscalls, and capturing isolated execution telemetry.
- arXiv · Published · First archived
JEV as a Judge for Agent Trace Security: An Empirical Comparison with Generative LLM Judges ↗
Security evaluation of tool-using agents requires judging actions in context, yet generative judges add latency, explanation overhead, and output-validation failures. We study whether JEV, a typed decision model, offers a useful alternative for retrospective trace classification. We evaluate JEV and four generative judges on four benchmark collections totaling 5,219 trajectories, using a common risk rubric and behavior-level labels. JEV attains a benchmark-averaged positive-class F1 of 77.8, compared with 74.1 for the strongest generative configuration, GLM-5.2, with valid-result coverage of 9…
- GitHub · Repository created · First archived
etosin/arc-draw ↗
ARC-DRAW is an SAP-aware Model Context Protocol (MCP) server for SAP Solution Architects. You describe an architecture in plain language; the AI agent places the correct SAP BTP icons and follows the official SAP diagram grammar to lay them out.
- GitHub · Repository created · First archived
Zhengyuuuui/minimax2api ↗
MiniMax 反代网关：有头浏览器过滑块批量注册养号 + 账号池自动调度，一键转换为 OpenAI / Anthropic 兼容 API
- arXiv · Published · First archived
CoSec: Benchmarking Agent Security in Communities ↗
LLM agents operate in persistent collaborative environments involving multiple users, communities, memories, files, and tools. Community boundaries may remain fixed or evolve with changes in membership, roles, composition, and relationships. Agents must complete legitimate tasks and prevent unauthorized disclosure of protected information. Existing evaluations do not fully examine these risks in agent systems. We introduce \textbf{CoSec}, an executable benchmark for evaluating privacy and authorization enforcement in LLM agent systems operating within and across communities. CoSec contains 208…
- GitHub · Repository created · First archived
Alpha-Park/genpark-scalar-autograd-computational-graph-skill ↗
Reverse-mode automatic differentiation engine with DAG tape and chain rule backpropagation
- GitHub · Repository created · First archived
alphaparkinc/genpark-scalar-autograd-computational-graph-skill ↗
Reverse-mode automatic differentiation engine with DAG tape and chain rule backpropagation
- GitHub · Repository created · First archived
read2017/jianghushuo-oral-skill ↗
姜胡说 · 口播 skill：从 433 条口播逐字稿与《价值心法》蒸馏，能问答、能写口播稿、能找选题
- Hacker News · Posted on Hacker News · First archived
OpenAI pauses some training amid allegations its rogue agents behaved more ↗
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.