5 repository-uri
Awesome GitHub RepositoriesLLM-Based Summarizations
Automated summarization of content extracted from URLs or PDFs using large language models.
Distinct from Content Summarization Tools: Distinct from Content Summarization Tools: specifically uses LLMs for summarization after web scraping or PDF conversion, not generic excerpt generation.
Explore 5 awesome GitHub repositories matching content management & publishing · LLM-Based Summarizations. Refine with filters or upvote what's useful.
Awesome LLM-Based Summarizations GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- pyspur-dev/pyspur
PySpur-Dev/pyspur
5,677Vezi pe GitHubRoutes input through web scraping or PDF conversion, then summarizes extracted text using an LLM.
TypeScriptagentagentsai - campsite/campsite
campsite/campsite
4,829Vezi pe GitHubCampsite is an asynchronous communication tool and integrated workspace suite designed for team coordination and knowledge sharing. It provides a unified interface that combines long-form posts, documentation, and project tracking to reduce the noise associated with real-time chat. The platform is an LLM-powered collaboration environment that uses large language models to generate concise summaries and recaps of extensive conversation threads and meeting transcripts. It further distinguishes itself as a webhook automation gateway, enabling the synchronization of internal discussions with exte
Processes long conversation threads through large language models to generate concise recaps.
TypeScript - madawei2699/mygptreader
madawei2699/myGPTReader
4,418Vezi pe GitHubmyGPTReader este o suită de aplicații bazate pe modele de limbaj mari, incluzând o interfață de chat, un instrument de analiză a documentelor și un agregator de știri. Sistemul se concentrează pe extragerea informațiilor din fișiere digitale și conținut web pentru a permite analiza conversațională și condensarea automată a conținutului. Proiectul dispune de un manager de șabloane de prompt-uri pentru a structura fluxurile de conversație și a crește acuratețea răspunsurilor. Include, de asemenea, un client de chat vocal multilingv care integrează speech-to-text și text-to-speech pentru tutoring interactiv în timp real și practică lingvistică. Platforma acoperă capabilități mai largi în conversația retrieval-augmented, livrarea automată de știri zilnice și sumarizarea site-urilor web și a conținutului video.
Uses large language models to automatically summarize content extracted from URLs and PDFs.
Python - steipete/summarize
steipete/summarize
3,771Vezi pe GitHubSummarize is a command line tool and multimodal content extractor designed to generate concise summaries from web pages, documents, and media files. It functions as an orchestrator that connects developer tools to various language model providers to process and condense information. The system provides specialized capabilities for audio and video processing, including transcription with speaker identification and the extraction of timestamped visual markers from video slides. It also includes a translation utility to convert generated summaries and extracted text into different target languag
Generates concise summaries from web pages, documents, and media files using large language models.
TypeScriptaiclisummarize - volcengine/openviking
volcengine/OpenViking
2,993Vezi pe GitHubOpenViking is a multi-tenant context server and knowledge base administration system designed to provide AI agents with persistent long-term memory. It enables the indexing of diverse documents and codebases to support retrieval-augmented generation, allowing agents to recall past interactions, user preferences, and learned experiences across sessions. The project is distinguished by its use of a URI-based virtual filesystem to organize memories, resources, and skills. It implements a tiered context loading system that balances retrieval precision with token budgets by structuring data into a
Generates summaries for source code using AST skeleton extraction or LLM-based analysis.
Pythonagentagentic-ragai-agents
