Tools tagged with "Context compression"

MCPHub is a self-hosted gateway for developers and teams connecting AI clients to multiple MCP servers. It gives them one place to manage shared tools and decide what each user or project can access.

PraisonAI is a Python framework for developers building AI agents that research, write code, or carry out tasks across apps. It supports single agents and coordinated teams for work that needs several steps or specialist roles.

kvpress is a Python library for developers and researchers reducing the memory needed for long-context LLM inference. It compresses the key-value cache that grows as a model processes longer inputs.

NullClaw runs AI agents on your own hardware or server for coding work and automated background tasks. It's aimed at developers who want an assistant that can carry out multi-step jobs with controls over its access and actions.

Headroom reduces the context that LLM apps and coding agents send to a model. It's for developers whose prompts fill up with repetitive tool results, logs, file contents and retrieved documents. Compression runs locally, but model requests still go to the chosen LLM provider.

Ellama is an AI assistant for Emacs users who want help with writing and code inside their editor. It handles requests about selected text as well as longer conversations and coding tasks that need several steps.

Alfred Black is a self-hosted AI agent for people who need help tracking messages, tasks and ongoing commitments. It runs continuously and brings related information together so you can review a concern without piecing together scattered threads.

CDAF saves reusable text descriptions alongside videos so AI agents don't have to analyze the same footage for every task. It's for developers building video agents and editors that repeatedly search or ask questions about a clip library.

Prompty is a prompt format and developer toolkit for building AI applications. It keeps prompt text, model settings, inputs and tool definitions in a portable Markdown file that developers can share across editors and language runtimes.

Acontext gives AI agents reusable memory from past tasks. It's for developers who want agents to retain successful approaches, mistakes, and user preferences in files they can inspect and correct.