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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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860 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

    Apple changes full-disk access permissions to curb abuse from AI agents ↗

    Hacker News discussion.

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

    Would you use Hive-simpler AI agents? ↗

    We're building Hive — AI agents that are simpler and cheaper than existing solutions. Current problem: Existing platforms are too expensive and complex for small teams. Hive: Simple API. Actually works. Would you use this? Feedback appreciated.

  3. GitHub · Repository created · First archived

    AmirSbss/spotlight ↗

    Point your AI agent at a website, some footage or a topic and get back a finished short video: a launch brag, a promo or an explainer. An Agent Skill for Claude Code, Codex, Hermes and others.

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

    Agentic broker for archived data and coding logs ↗

    Hacker News discussion.

  5. GitHub · Repository created · First archived

    Zhou-Yujing114514/deepseek-harness-linux ↗

    First-class Linux packaging for DeepSeek Harness desktop — AppImage, .deb, .tar.gz for x64/arm64, built by native CI.

  6. GitHub · Repository created · First archived

    youbaiyun/dsh-browser-crossplatform ↗

    Browser extension for the DeepSeek Harness desktop app. The model reads the page you are on as text with numbered controls and acts on it — click, type, scroll, navigate, manage tabs — and, when you switch image recognition on, looks at an image you point at. It asks before acting, keeps passwords in the page, and talks to your own desktop; the one

  7. GitHub · Repository created · First archived

    isas1/daily-team ↗

    A new four-person creative team every day, and the small web tool it built. Generated with Claude Code, recorded on GitHub.

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

    Can You SEO Your Way into an AI Agent's Recommendation? ↗

    Hacker News discussion.

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

    Show HN: figma-server, the solution to Figma's hostility towards agents ↗

    There's been a lot of drama lately about using the Figma MCP. You don't need it! Just use figma-server. It gives your agent full control over Figma via CDP. The latest generation of frontier models (GPT-6, Opus-5.5, Fable-5.1) are really good at Figma stuff.

  10. arXiv · Published · First archived

    Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents ↗

    Financial LLM agents are often evaluated by comparing their end-to-end returns with those of a baseline and testing the paired difference against zero. This measures whether deploying the agent changes realized performance, but it does not isolate event-selection skill. An agent that frequently changes positions from flat to long can earn a positive paired return from an upward-drifting event pool even when it selects events at random. We propose the Agent Policy-Value Audit, which holds fixed the observed count of each ordered action-change type and randomly reassigns them across eligible eve…

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.