stephenschoettler/hermes-lcm
hermes-lcm is a lossless context management plugin for Hermes Agent, providing a DAG-based context engine that ensures no messages are lost through persistent storage and intelligent summarization.
Awesome Hermes Plugins › Context Engines
EfficientContext/ContextPilot
ContextPilot is a sophisticated context engine designed to enhance the performance of Large Language Model (LLM) inference, particularly in scenarios involving long contexts such as Retrieval Augmented Generation (RAG), memory-driven chatbots, and AI agent frameworks. It tackles the inefficiency of redundant computations when context blocks overlap or are reordered across requests, a common issue in dynamic LLM applications. ContextPilot operates by sitting between context assembly and inference, employing strategies like context indexing, reordering shared blocks into common prefixes, and deduplication of repeated content to maximize prefix reuse and minimize redundant KV recomputation. This process results in higher throughput, increased cache hits, and substantial token savings, as demonstrated by accelerated prefill times and reduced token consumption across various benchmarks. Crucially, it achieves these performance gains without compromising reasoning quality, even with extremely long contexts. ContextPilot provides drop-in solutions for integration with popular LLM ecosystems and agents, including OpenClaw and Nous Research Hermes Agent, and supports various inference backends like vLLM, SGLang, llama.cpp, and cloud APIs. Its architecture maintains a 'Context Index' and leverages 'cache-aware scheduling' to optimize prompt delivery, making it a valuable tool for developers seeking to deploy more efficient and scalable long-context LLM applications.
https://github.com/EfficientContext/ContextPilot
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