repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
VoltAgent/awesome-ai-agent-papers
A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 68%A field guide to AI agents in 2026 →
- PossiblePossibly related (embedding) · 60%Agentic AI for Robot Teams →
- PossiblePossibly related (embedding) · 59%AI agents are not your “coworkers” →
- PossiblePossibly related (embedding) · 61%LangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGig →
- PossiblePossibly related (embedding) · 46%Researchers Propose Thermodynamic Computing Architecture That Could Dramatically Reduce AI Energy Use - The Quantum Insider →
- PossiblePossibly related (embedding) · 52%About the Guest Editors | From Theory to Application: Advances in Multi‑Agent Systems/Frameworks - Nature →
- PossiblePossibly related (embedding) · 52%Gallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - Microsoft →
- PossiblePossibly related (embedding) · 50%Microsoft’s Agentic Cloud Observability Playbook - AI CERTs →
Related to
Covers
Covers (incoming)
newsLangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGignewsResearchers Propose Thermodynamic Computing Architecture That Could Dramatically Reduce AI Energy Use - The Quantum InsidernewsAbout the Guest Editors | From Theory to Application: Advances in Multi‑Agent Systems/Frameworks - NaturenewsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - MicrosoftnewsMicrosoft’s Agentic Cloud Observability Playbook - AI CERTsnewsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech XplorenewsAI Engineer World’s Fair 2026: The Runtime Is Where Agent Trust Is Wonnews'We have maybe 20 months' to rebuild for AI agents, Meta's infrastructure VP tells VB Transform 2026newsCohere VP says enterprise AI sovereignty requires control of the full agent stack
Related across the graph
newsResearchers Propose Thermodynamic Computing Architecture That Could Dramatically Reduce AI Energy Use - The Quantum InsidernewsLangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGignews'We have maybe 20 months' to rebuild for AI agents, Meta's infrastructure VP tells VB Transform 2026newsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech XplorenewsAbout the Guest Editors | From Theory to Application: Advances in Multi‑Agent Systems/Frameworks - NaturenewsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - MicrosoftnewsAgentic AI for Robot TeamsnewsAI agents are not your “coworkers”articleA field guide to AI agents in 2026newsCohere VP says enterprise AI sovereignty requires control of the full agent stacknewsMicrosoft’s Agentic Cloud Observability Playbook - AI CERTsnewsAI Engineer World’s Fair 2026: The Runtime Is Where Agent Trust Is Won