Agentic AI

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Scoured 376 posts in 7.3 ms

Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents

 📊Statistics  Content type: Academic
arxiv.org·

Sh4r1ock/SoloEngine: Build Your One-Person Company with SoloEngine. Create your own OpenClaw, Cursor, Claude Code, or other Agentic AI that are exclusively yours—by simply dragging and dropping

 🎯AI Agents  Content type: Code
github.com··DEV

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems

 🎯AI Agents  Content type: Academic
arxiv.org·

Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents

 🎯AI Agents  Content type: Academic
arxiv.org·

teamolimpo/TeamOlimpo: The orchestration layer for AI agent teams — MCP-native orchestrator with unified memory, IntentGate routing, and structured handoff protocol.

 🎯AI Agents  Content type: Code
github.com··Hacker News

PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting

 🎯AI Agents  Content type: Academic
arxiv.org·

Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation

 🎯AI Agents  Content type: Academic
arxiv.org·

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures

 🎯AI Agents  Content type: Academic
arxiv.org·

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

 🎯AI Agents  Content type: Academic
arxiv.org·

The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?

 🎯AI Agents  Content type: Academic
arxiv.org·

Beyond tokens: a unified framework for latent communication in LLM-based multi-agent systems

 🎯AI Agents  Content type: Academic
arxiv.org·

Consistent Distributed Cooperative Localization for Ultra Large-Scale Multi-agent Systems

 🎯AI Agents  Content type: Academic
arxiv.org·

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