Qin-sor/agent-context-lab
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), default-FAIL verification against false completions, and KV-cache prefix design (21%→90%). Stdlib-only, real deepseek-chat runs
GitHub repository with 41 stars and 8 forks.
Language: Python
Topics: ablation-study, agent-harness, context-engineering, context-management, deepseek, evaluation, kv-cache, llm, llm-agents, prompt-caching