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The Harness is a Context Manager on Behalf of the Model What happens when the context window fills up and who decides? This decision is exte…

The Harness is a Context Manager on Behalf of the Model What happens when the context window fills up and who decides? This decision is external to the model - The Harness designer must have some opin

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2 May 2026

Search: “context”

📹 How to manage context the right way with LangSmith Context Hub Context Hub gives your team and your agent a shared place to store, edit, …

I benchmarked Qwen 3.8 27B on my M4 Max — here's what I learned about local models, context, and coding performance

100% this. Memory is just a form of context. Context is all you need, and context is everything when making a great agent.

Closing the Context Gap: Activation Alignment for Tabular In-Context Learning

Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering

Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs

Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs

Contrast Matters: Understanding Robustness of In-Context Fine-Tuning to Target-Context Relatedness

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation

Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic Reasoning

Optimizing Qwen3.6 / Qwen3.8-27B on 16GB VRAM: Complete Benchmark Results and Setup Guide (~30-50tps at 32k to 72k context)

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

ContextPilot: Fast Long-Context Inference via Context Reuse

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation

UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference

LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive Dashboard

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents

From Context to Skills: Can Language Models Learn from Context Skillfully?

Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration

Context compression is a huge bottleneck for long-running agents. This work finds that context compression hurts long-horizon agents at a fe…

Residual Vector-based Reconstruction as Long-Context Recall Regardless of Context Window Size

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning

Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models

When Context Sticks: Studying Interference in In-Context Learning

a big part of agent harnesses is how they interact with context memory is just context its therefor impossible to separate harness from memo…

Is llama.cpp meant to be slow at long context, even when you aren't using that context?

// Reusable Context Engineering // Context bloat quietly kills long-horizon runs, but you can fix it from the outside without fine-tuning th…

SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass

The Harness is a Context Manager on Behalf of the Model What happens when the context window fills up and who decides? This decision is exte…

Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs

Great paper for the weekend ahead. Meta presents Context Language Models, which can natively manage their own context.

Beyond the Context Window: An Adaptive Entropy-Based Routing Framework for Hybrid Retrieval and Long-Context Language Models

ACM: Agentic Context Management for Long Horizon Tasks

Your agentic workflows are only as good as the context you feed them. In finance, that context is stuck inside your messiest documents: dens…

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

We launched Context Hub as a way to manage skills, AGENTS.md files, and other context files an agent might need You can easily use it as a v…

Model. Harness. Context. The 3 main components of agents. As you build more agents, context increasingly lives AGENTS.md, skills, policies, …

When Context Misleads: In-context Learning with Jurisdiction in Large Language Models

LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models

Single RTX 5090: Qwen3.8-27B NVFP4 at a real 262K context in vLLM — 77 tok/s short-context, 64.7 tok/s at 128K

When Context Returns: Toward Robust Internalization in On-Policy Distillation

Everyone talks about 1M context. The harder part is making 1M context actually usable. Serving MiniMax M3 required optimizing for long-conte…

We've productionized query-aware compression for faster, cleaner, more-accurate search. Better context is better than more context. Our syst…

You can now see a breakdown of your agent's context usage in Cursor 3.3. Use these stats to diagnose context issues and improve your setup a…

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization

I agree with this, memory is context, and context is what enables agency. Having arguably the more relevant component of the agent locked in…