“summarization”

Summarize documents, articles, conversations, meetings, and technical content into concise, accurate summaries.

Summarize .pdf, .txt, .md, .html files and send to Telegram as PDF.

Write a concise newsletter-ready summary for relevant content.

MCP server that fetches YouTube video transcripts and optionally summarizes them

MCP server for summarizer ai.

Summarize YouTube videos or fetch transcripts.

ATL provides external task execution through eligible, verified providers for authorized search, public content extraction, summarization, translation, and…

Desktop AI assistant that reads the on-screen context and answers from a shortcut key.

Minimal Python autonomous agent for GPT-3.5 and GPT-4 with web search, memory and a critic option.

Summarize is an abstractive summarization model from ScaleDown.

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and…

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.

Opinionated agent harness on LangGraph with sub-agents, filesystem access, context management, persistent memory and approval of tool calls.

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

All-in-one Python AI framework for embeddings-based semantic search, LLM pipelines, workflows and agents.

Codex Reflection adds AI-powered quality review to the existing Codex Editor translation environment.

Microsoft Research pipeline that builds knowledge graphs from text to improve LLM question answering.

Subagent "Migration Summary" from ruvnet/ruflo: Complete migration plan for converting command-based system to intelligent agent-based system