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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 ↗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.
- GitHub · Repository created · First archived
ilien-dev/quiron ↗
AI humanizer skill for Claude Code, Codex and Cursor. Removes AI slop and the signs of AI writing, then measures the rewrite against human baselines.
- OpenAlex · Published · First archived
Dr. Contrarian: a persona-driven conversational AI agent for coaching argumentative reasoning in infectious disease classroom debates ↗
ABSTRACT Critical thinking and persuasive communication are essential for biology graduates navigating socioscientific dilemmas. While debate pedagogy fosters problem-solving, autonomy, competence, and relatedness aligned with adult learning and self-determination theories, inexperienced students often struggle with the cognitive load and anxiety from this format. To bridge this gap, “Dr. Contrarian,” a persona-based conversational AI agent, was developed to function as an adversarial coach during debate preparation. Survey data ( n = 21) adapted from the Technology Acceptance Model show that…
- OpenAlex · Published · First archived
Artificial Intelligence and Multi-Agent Approaches for Decision-Making and Business Process Optimization in Industrial Systems ↗
This study develops a conceptual and simulation-based framework for intelligent decision-making and process optimization in mineral processing systems. The framework integrates artificial intelligence, multi-agent coordination, adaptive control, and digital twins to support real-time optimization under uncertain and variable operating conditions. Systems analysis, mathematical modeling, simulation, and industrial data-processing methods are combined, while two-sample t-statistics assess differences between baseline and proposed scenarios across 50 independent simulation runs. The proposed arch…
- GitHub · Repository created · First archived
mvanhorn/agent-tincan ↗
Let your AI agents ask each other for help, over Tailscale. Wherever they run.
- GitHub · Repository created · First archived
cagridursun/agentic-developer-handbook ↗
Java-first open-source handbook for understanding and building agentic systems, one concept at a time.
- arXiv · Published · First archived
Propose, Don't Judge: An Anytime-Valid Referee for LLM Agents That Mine Investment Factors ↗
Language-model agents now run the whole of quantitative factor research: they propose investment factors, backtest them, select the survivors and retire them. We ask which of those jobs an agent should keep. Our answer is governed self-evolution: the agent may propose, and a frozen statistical referee that the agent cannot touch must judge. The referee scores each candidate only on market outcomes revealed after submission, by betting, so its false-discovery guarantee holds at every stopping time for any proposal policy. We cross three proposers (a script, a bandit and a language model) with t…
- GitHub · Repository created · First archived
ThinkFlowLab/system1-agents ↗
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
- GitHub · Repository created · First archived
ehsanghaffar/paperclip-agent-adapter ↗
Paperclip external agent adapter for custom OpenAI-compatible, OpenAI Responses, and Anthropic-compatible LLM endpoints
- GitHub · Repository created · First archived
halilozturkci/dfirswarm ↗
A swarm of forensic agents, on your machine, on the record. Open-source agentic digital forensics and incident response under the AGPL: agents divide the case on a shared board, forge their own tools, and leave a hash-chained record.
- GitHub · Repository created · First archived
0xpolarzero/lcu ↗
Codex computer use, decoupled from the app, for usage inside any harness.
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.