ContextPilot
Accelerating Long Context LLM Inference with Accuracy-Preserving Context Optimization in SGLang, vLLM, llama.cpp, OpenClaw, RAG, and Agentic AI. - EfficientContext/ContextPilot
ContextPilot at a Glance
- Pricing
- Free
- How you use it
- Python package, native agent plugins, or HTTP server
- Who it's for
- Developers running long-context inference, RAG, and agent workloads
- Works with
- OpenClaw Hermes Agent vLLM SGLang llama.cpp Mem0 PageIndex LMCache OpenAI Anthropic
ContextPilot Key Features
- Cache-aware scheduling
- Context deduplication
- Context reuse
- Inference acceleration
- Prompt reordering
Can't Find What You're Looking For?
We build custom AI agents tailored to your specific business needs. From ideation to deployment, TinyAI.Tools is your partner in AI innovation.
No commitment required. Let's discuss your ideas.
ContextPilot Alternatives
AirClaw
Run OpenClaw on a local model. Zero API cost. One OpenAI-compatible endpoint over Ollama, llama.cpp, vLLM or LM Studio — plus AirLLM for models bigger than your GPU. - nickzsche21/AirClaw
orla
Orla is a runtime-adaptive execution layer for AI agents. It routes each call to the right model and tunes that choice from real outcomes, optimizing cost and accuracy across SGLang, vLLM, Ollama, and OpenAI-compatible APIs.
Sidekick
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp. - johnbean393/Sidekick
llama-github
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question,
llama-cpp-agent
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSO
LongHorizon-Harness
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, indepen