Definition

What is Context Bloat?

Last updated

The accumulation of low-signal tool-call output and stale history that fills an AI agent's context window with content it no longer needs.

Context bloat is what makes long-running agents degrade well before they reach the context window limit: as raw tool results pile up, they dilute the model's attention and crowd out the instructions and state that still matter. It is a context engineering problem rather than a model one, and the fix is to summarize, clear, or offload tool output rather than reach for a bigger window.

Related Context Rot Context Window Context Offloading Agent Drift Context Engineering

Further reading

Articles about Context Bloat

Context pruning helps agents, until it doesn't

Context pruning helps AI agents in one regime and hurts in another. A 2026 study of models from 4B to 284B maps when to prune stale context and when not to.

Context bloat: why long-running agents break

Context bloat is when accumulated tool-call output crowds out an agent's task. Tool calls, not window size, break long-running agents. Here is the fix.

All terms

View full glossary
Agent Drift Agent Reliability AI Agent AI Hallucination AI Second Brain Chunking Context as a Service Context Bloat Context Compression Context Container Context Drift Context Engineering Context Offloading Context Poisoning Context Portability Context Pruning Context Rot Context Window Epistemic Provenance Fine-Tuning Knowledge Graph MCP Resources MCP Server MCP (Model Context Protocol) Multi-Agent System Prompt Caching Prompt Engineering RAG (Retrieval-Augmented Generation) Semantic Search Structured Context Tool Poisoning Wire

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