LLM Agents

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Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

 ✍️Prompt Engineering  Content type: Code
github.com··Hacker News

TRACE: Trajectory Reasoning through Adaptive Cross-Step Evidence Aggregation for LLM Agents

 💡AI Reasoning  Content type: Academic
arxiv.org·

Claude Fable 5 is now available on Databricks, fully governed through Unity AI Gateway

 💡AI Reasoning  Content type: Blog
databricks.com·

Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History

 🧠LLM  Content type: Academic
arxiv.org·

NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart

 📋Product Management  Content type: Blog
aws.amazon.com·

TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning

 🤖AI  Content type: Academic
arxiv.org·

HtooTayZa/sawtooth-memory: Async hierarchical memory middleware for LLM agents.

 🐙Open Source  Content type: Code

Self-evolving LLM agents with in-distribution Optimization

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Anthropic warns AI could soon help build its own successors

 🤖Transformers
axios.com··Hacker News

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

 🧠LLM  Content type: Academic
arxiv.org·

Show HN: I nerfed our coding agents on purpose

 🦀Rust  Content type: Discussion

The Cold-Start Safety Gap in LLM Agents

 💬LLMs  Content type: Academic
arxiv.org·

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures

 📐Math  Content type: Academic
arxiv.org·

ashp15205/guardian-runtime: A zero-latency, local-first runtime firewall for LLMs. Intercept every prompt and response locally to stop data leaks and runaway token costs.

 ✍️Prompt Engineering  Content type: Code
github.com··Hacker News

Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Mind the Gap: Can Frontier LLMs Pass a Standardized Office Proficiency Exam?

 ✍️Prompt Engineering  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.

 ✍️Technical Writing  Content type: Code
github.com··Hacker News

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents

 🧠LLM  Content type: Academic
arxiv.org·

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference

 💡AI Reasoning  Content type: Academic
arxiv.org·

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