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Machine Heart
Machine Heart
May 30, 2026 · Artificial Intelligence

Autogenesis: A Self‑Evolving Agent OS That Drives Near‑Perfect C++ LeetCode Scores

The paper introduces the Autogenesis Protocol (AGP), a two‑layer resource‑governed framework that lets agents safely modify their own prompts, tools, memory and environment, and demonstrates its effectiveness with the AGS system achieving 93.33% GAIA validation accuracy and near‑full scores on C++ LeetCode problems.

AGPAutogenesisGAIA benchmark
0 likes · 11 min read
Autogenesis: A Self‑Evolving Agent OS That Drives Near‑Perfect C++ LeetCode Scores
Old Zhang's AI Learning
Old Zhang's AI Learning
May 21, 2026 · Artificial Intelligence

SkillOS: Enabling Agents to Self‑Manage Their Skills

SkillOS reframes skill management for LLM agents as a long‑horizon reinforcement‑learning problem, letting a trainable Skill Curator automatically insert, update, or delete markdown‑based skills, which the frozen Agent Executor then consumes, improving memory‑free performance and cross‑task transfer.

LLM agentsMarkdownSkillOS
0 likes · 6 min read
SkillOS: Enabling Agents to Self‑Manage Their Skills
PaperAgent
PaperAgent
May 4, 2026 · Artificial Intelligence

A Comprehensive Survey of Self-Evolving Agents: From Model-Centric to Environment-Driven Co-Evolution

This survey systematically reviews self‑evolving agents, explains why autonomous agents are needed, proposes a unified taxonomy of three evolution paradigms, analyzes model‑centric, environment‑centric, and co‑evolution approaches, and outlines future challenges in designing adaptive environments.

AI Agent TaxonomyCo-EvolutionEnvironment-Centric Evolution
0 likes · 14 min read
A Comprehensive Survey of Self-Evolving Agents: From Model-Centric to Environment-Driven Co-Evolution
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance

The DACon conference in Shanghai gathered over 8,000 developers, managers and experts, delivering 50 talks that explored self‑evolving AI agents, data‑centric ontology, Agent‑Ready big‑data infrastructure, AI‑AR ecosystem evolution, and the emerging challenges of Agentic data governance.

AI agentsAI+ARAgentic Data Protocol
0 likes · 11 min read
From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance
Machine Heart
Machine Heart
Apr 14, 2026 · Artificial Intelligence

EverOS Global Beta Unveils Self‑Evolving Memory Layer for AI Agents

EverOS launches a global beta of its next‑generation memory infrastructure that lets autonomous agents automatically extract experience, cluster it semantically, and evolve reusable skills, boosting OpenClaw task success rates by up to 234.8% while addressing context‑window limits, multimodal retrieval, and developer transparency.

AI memoryEverOSEvoAgentBench
0 likes · 21 min read
EverOS Global Beta Unveils Self‑Evolving Memory Layer for AI Agents
PaperAgent
PaperAgent
Feb 14, 2026 · Artificial Intelligence

Can Self‑Evolving AI Societies Remain Safe? Exploring the Self‑Evolution Trilemma

An in‑depth analysis of the OpenClaw‑derived Moltbook AI agent network reveals a “Self‑Evolution Trilemma” where continuous self‑evolution, complete isolation, and perpetual safety cannot coexist, supported by information‑theoretic definitions, empirical observations of cognitive decay, alignment failures, communication collapse, and proposed thermodynamic mitigation strategies.

AI safetyagent networksinformation theory
0 likes · 9 min read
Can Self‑Evolving AI Societies Remain Safe? Exploring the Self‑Evolution Trilemma