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github.com · 2026-10-24 · Ranked: agent match · community signal · fresh 0.99 · score 3.14 · Context

Show HN: TenseMem – deterministic memory for AI agents

arxiv.org · 2026-10-22 · Ranked: agentic match · research watch · fresh 0.76 · score 2.59

Muffin - A Shared Memory Buffer for Asynchronous AI Agents

The rise of Agentic AI systems has changed the landscape of artificial intelligence by enabling strong reasoning capabilities through specialized multi-agent interaction with structured self-reflection. However, in ta... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: evaluation match · research watch · fresh 0.76 · score 2.52

When LLMs Forget What They Believe: Characterizing State Integrity Collapse in Long-Horizon Dialogues

Large language models can repeat an instruction while failing to keep obeying it. We study this recall-compliance dissociation in long-horizon dialogue and define State Integrity Collapse: a model preserves a stated c... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: agent + eval match · research watch · fresh 0.76 · score 2.50

Adaptive Skill Granularity for Coding Agents: Runtime Routing and Macro-to-Micro Recovery

Reusable skills allow large language model agents to package task-specific procedures, tool affordances, and execution guidance into modular units. Prior work has largely studied how agents retrieve, compose, or synth... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: agentic match · research watch · fresh 0.77 · score 2.40

Same Luck, Different Choice: Twin-World Credit Assignment for Agentic Reinforcement Learning

Agentic reinforcement learning rewards a complete episode, yet the policy needs credit for every decision inside it. Counterfactual branching estimates this credit by re-running the episode after an alternative decisi... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: agent + eval match · research watch · fresh 0.77 · score 2.39

Reliable AI-Assisted Decisions via Selective Auditing

We consider online monitoring of an AI system that produces a sequence of decisions. At each round, the system outputs a proposed decision together with a confidence score estimating the trustworthiness of the decisio... Context & related coverage →

magazine.sebastianraschka.com · 2026-10-24 · Ranked: evaluation match · practitioner analysis · fresh 0.96 · score 2.34

Build Your Own Reasoning Model: A Full Video Course

Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch. Context & related coverage →

databricks.com · 2026-10-23 · Ranked: agent match · cloud platform update · fresh 0.76 · score 1.93

Built for Agents: The Case for Spark Declarative Pipelines

AI agents now write a growing share of production data pipelines (over 70% of SDP... Context & related coverage →

infoq.com · 2026-10-22 · Ranked: agentic match · practitioner analysis · fresh 0.63 · score 1.83

Presentation: Actors for Agents: Patterns for Production AI

Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating agents as distributed systems, he discusses state ownership, message passing, write-through sta... Context & related coverage →

modal.com · 2026-10-22 · Ranked: practitioner analysis · fresh 0.64 · score 1.62

Introducing our Training API

Spindle is an open-source API for training and fine-tuning open models — deploy a server with a single command and run any Tinker-compatible training code against it. Context & related coverage →