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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.

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859 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.

  1. Hacker News · Posted on Hacker News · First archived

    Show HN: Client rooms where calls and AI agents suggest edits, people approve ↗

    Hacker News discussion.

  2. arXiv · Published · First archived

    Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents ↗

    LLM agents increasingly screen tool outputs with small prompt-injection detectors, and teams choose among detectors by their scores on public benchmarks. We ask whether those scores predict how a detector behaves inside an agent. We replay the ground-truth tool calls of two agent benchmarks, AgentDojo and tau-bench, without an LLM to obtain tool outputs that are benign by construction, label injected outputs by differential replay, and evaluate fifteen detectors, including Meta's Prompt Guard 2, and two task-aware LLM judges on these outputs and on the BIPIA benchmark. Detection rankings trans…

  3. Hacker News · Posted on Hacker News · First archived

    OpenAI's wandering AI agents earn it a California subpoena ↗

    Hacker News discussion.

  4. Hacker News · Posted on Hacker News · First archived

    The Four Horsemen of Agentic Coding ↗

    Hacker News discussion.

  5. Hacker News · Posted on Hacker News · First archived

    What Dots Choose: OpenAI's Agent Has a Stack ↗

    Hacker News discussion.

  6. arXiv · Published · First archived

    Persona Guardrail: A Production-Grade Defense Framework for Agentic Systems ↗

    Large language model-based agents are increasingly deployed to perform domain-specific tasks by interacting with enterprise knowledge, tools, and external services. Existing runtime guardrails primarily target prompt injection and other attack-specific behaviors under a black-box threat model, but provide limited guarantees that agents operate within their intended functionality. As a result, production agents remain vulnerable to malicious requests and out-of-domain queries that existing defenses often fail to distinguish. We present Persona Guardrail, a production-grade runtime defense frame…

  7. Hacker News · Posted on Hacker News · First archived

    Show HN: What's Agent Doing – a Claude Code UI mod that explains each step ↗

    I built this because with latest coding models, Claude goes into deep-work mode with obscure commands so that I never know anymore what it's up to. This is a mod (a plugin using Claude Code's new function hooks) that draws one line above the prompt: - the current step, using the description Claude writes for each shell command (git bisect run npx vitest … → "Find the commit that broke fixed-amount coupons"), with a timer - a row per background ag…

  8. arXiv · Published · First archived

    Defense-in-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms ↗

    Large Language Models (LLMs) increasingly support Uncrewed Aerial Vehicle (UAV) swarm operations such as data collection scheduling, where the model reads structured sensor reports and decides which sensors to visit. An adversary who quietly manipulates those reports can redirect the swarm without modifying the model weights or the UAV. Defenses for this interface have been proposed architecturally but rarely implemented or evaluated. We implement and evaluate defense-in-depth at the perception-reasoning interface of LLM-Centric Agentic UAV Swarms. Five layers check the provenance of a report,…

  9. GitHub · Repository created · First archived

    Mafifrizi/tanuki ↗

    Tactical Identity Operator for Linux & Hybrid Active Directory

  10. Hacker News · Posted on Hacker News · First archived

    Nvidia/OpenShell: Safe, private runtime for autonomous AI agents ↗

    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.