A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
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A unified, comprehensive and efficient recommendation library
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
TranslatedSearch all Chinese NLP datasets, with commonly used English NLP datasets included
TranslatedAgriculture Knowledge Graph (AgriKG): information retrieval, named entity recognition, relation extraction, intelligent question answering, and decision support in the agriculture domain
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 50+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
TranslatedA platform for building and running digital employees for enterprises: it solidifies the experience, processes, and judgment standards of professional employees into AI digital employees that can be put to work at any time and are configurable, approvable, and observable.
Ontology-Augmented Generation for AI agents.
Local-first AI trend radar and live-session distillation
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
Schema and generated objects for biolink data model and upper ontology
A decision-model-based ontology & knowledge-graph builder — builds governed knowledge graphs from your documents, every fact gated and traceable to its evidence.
TranslatedAn Agent programming Harness engineering framework, from requirement clarification to trusted delivery
TranslatedIngesting Douyin videos and image-text posts into a knowledge base: local speech transcription and text recognition, generating Obsidian notes by topic, and maintaining an index and logs; driven by an Agent, with CC Connect as an optional integration.
Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)
Agent skills for Codex and Claude Code that preserve project context, decisions and next steps across AI sessions in plain Markdown.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
TranslatedKnowledge ingestion for public web pages and WeChat Official Account articles: distills core knowledge, generates Obsidian notes by topic, and maintains an index and logs; a single article is driven by an Agent, and batch distribution uses CC Connect.
TranslatedBatch ingestion of Douyin authors' works: identifies the author and fetches public works page by page, generates Obsidian notes by topic, and maintains the author directory, index, and logs; driven by an Agent, with CC Connect as an optional integration.