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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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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.

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

    Aw1-breaker: Sub-millisecond execution circuit breaker for AI agents ↗

    Hacker News discussion.

  2. arXiv · Published · First archived

    Can Agents Design Libraries for Agents? ↗

    Agents increasingly build on code written by other agents, and they reimplement rather than reuse, growing the codebases later agents must work in. To measure how well agents design libraries for other agents, we introduce LibraryDesignBench, a two-phase benchmark in which an agent implements a full-featured library from a specification that defines required capabilities and potential use cases without prescribing the design. We evaluate the library through the correctness and simplicity of programs written by three user agents from different model families. The benchmark spans 242 expert-vali…

  3. GitHub · Repository created · First archived

    VoKhoiNhon/open-skill-standard ↗

    Open, agent-agnostic standard and router for Agent Skills across 28 IT roles - integrates superpowers, BMad Method, spec-kit, codegraph and more.

  4. arXiv · Published · First archived

    Self-Evolving Defense: Continual Security Policy Learning for LLM Agents ↗

    Large language models (LLMs) increasingly power agents that access sensitive information, use external tools, and modify software repositories. Although these capabilities offer substantial benefits, they also create security risks such as jailbreaks, prompt injection, and vulnerable code generation. Existing defenses often require retraining, fail to adapt to evolving attacks, or address only a single threat pattern. To address these limitations, we propose Self-Evolving Defense (SED), a training-free framework that distills harmful agent trajectories into reusable security policies without u…

  5. GitHub · Repository created · First archived

    TimeLovercc/mojito ↗

    Mojito — the local, evolving alternative to cloud personal AI like Meta Muse.

  6. GitHub · Repository created · First archived

    zzz27578/CentDeck ↗

    AI frontend workbench with built-in agents, an infinite canvas and presentation-like visual editing. Refine real HTML/CSS without spending model tokens.

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

    AI Agents Are About to Flood the Workforce. No One's Ready for It ↗

    Hacker News discussion.

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

    Show HN: Talktome - let your AI Agent call you ↗

    I built TalkToMe, an open-source macOS app that lets an agent call you from its current session. You answer, talk, and hear its replies. The agent keeps its tools, files, and history. It works with Codex (Tested extensively, quite smooth), Claude Code (not tested heavily), Hermes, and other agents that can run shell commands. You can use ElevenLabs or local models to power the conversation. It's really surreal to see your agent call you for somet…

  9. GitHub · Repository created · First archived

    Alpha-Park/genpark-personal-agent-unified-autonomous-copilot-skill ↗

    Master cognitive personal copilot integrating Today AI (agenda), Manus (autonomous sandbox), Cue (ambient cues), Instinct (fast reflex), and Muse (episodic memory).

  10. GitHub · Repository created · First archived

    alphaparkinc/genpark-personal-agent-unified-autonomous-copilot-skill ↗

    Master cognitive personal copilot integrating Today AI (agenda), Manus (autonomous sandbox), Cue (ambient cues), Instinct (fast reflex), and Muse (episodic memory).

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.