Model Context Protocol - An open standard for connecting AI models to external tools and data sources. opensource.
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Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.
Place to meet for humans, agents and NPCs with MCP (Model Context Protocol) client/server integration.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Continue - Open-source AI code assistant. Connect any model and any context to create custom autocomplete and chat experiences inside the IDE.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
Smart code context extractor for AI assistants with accurate token counting and budget management.
Decision-making tool powered by the latest GPT and in-context learning.
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
StreamingLLM is a technique that can enable language models like Llama-2 to have conversations that span across millions of tokens.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.