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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 ↗837 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
mikelgh/mcd-send-a-meal ↗
麦麦代送 mcd-send-a-meal：用麦当劳中国 MCP 给「别人」点一份（M-CODE 程序员创意开发大赛参赛项目）
- arXiv · Published · First archived
EviRepair: Evidence-Driven Agents for Reliable Vulnerability Repair ↗
Recent advances in large language models (LLMs) have enabled agent-based approaches for repository-level automated vulnerability repair (AVR), showing promising repair capabilities. However, an important issue has received limited attention: how can we ensure that the evidence generated during the repair process is reliable enough to support accurate vulnerability understanding and patch generation? In this paper, we propose EviRepair, an evidence-driven multi-agent framework for repository-level AVR. EviRepair introduces evidence review into the repair process by enabling agents to collaborat…
- GitHub · Repository created · First archived
bdg9412/artex-ko-plus ↗
ARTEX 한국어판 ·AI 기반 침해사고 대응 기능 추가 (upstream: Autumn-27/ARTEX, AGPL-3.0)
- GitHub · Repository created · First archived
laurent512/opencalque ↗
Open-source 2D architectural editor with a Figma-like interface, a local CLI, and practical workflows for humans and AI agents.
- arXiv · Published · First archived
ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents ↗
Coding agents are increasingly used to build programs from scratch as software engineers do rather than to resolve issues within a repository or to generate a repository from a given requirements document. However, scalable verifiable training environments that force agents to discover what is required and to decide how the system should be designed remain scarce. Moreover, existing agent workflows also cannot sustain long-horizon development in which the agent explores the reference program before implementation. To address these challenges, we introduce ProgramGym, a framework consisting of…
- Hacker News · Posted on Hacker News · First archived
Docsy for AI Agents, Oh, and People Too ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Stop Looking for the Best Way to Retrieve Context for AI Agents. Build a Router ↗
Hacker News discussion.
- GitHub · Repository created · First archived
APUS-AI-Lab/APUS-Reflex-Agent ↗
APUS Reflex Harness — 瞬时执行，深度思考。Model as Harness with hybrid reflex and reasoning models.
- Hacker News · Posted on Hacker News · First archived
Kubernetes for AI agents: when code is cheap, proof matters ↗
Hacker News discussion.
- GitHub · Repository created · First archived
miuuyy/Octopus-SI-OS ↗
A true agentic OS. A new architecture for agent execution, built on operating-system principles, with the harness as a path toward superintelligence.
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.