Instructions file GitHub Copilot
Instructions for infiniflow/ragflow, covering project instructions for copilot, how to run (minimum), project layout (what matters) and conventions.
196 tagged rag, measured the same way as everything else here.
Browse within: knowledge-base 19python 18local-first 15embeddings 10ollama 9openai 9semantic-search 9retrieval-augmented-generation 8agent-memory 7knowledge-graph 7obsidian 7typescript 7vector-search 7hybrid-search 6
Instructions file GitHub Copilot
Instructions for infiniflow/ragflow, covering project instructions for copilot, how to run (minimum), project layout (what matters) and conventions.
Instructions file CodexOpenCode
Instructions for infiniflow/ragflow, covering ragflow instructions, core stance, current stack, code layout to expect and go-specific rules.
Instructions file
Instructions for infiniflow/ragflow, a project described as: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs.
Instructions file CodexOpenCode
Instructions for mem0ai/mem0, covering agents.md, do not, where to look, repository map and setup.
Instructions file
Instructions for mem0ai/mem0, a project described as: Universal memory layer for AI Agents.
Instructions file CodexOpenCode
Instructions for HKUDS/DeepTutor, covering deeptutor — agent-native architecture, architecture, level 1 — tools, level 2 — capabilities and cli usage.
Instructions file CodexOpenCode
Instructions for getzep/graphiti, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
Instructions file
Instructions for getzep/graphiti, covering claude.md, project overview, development commands, main development commands (run from project root) and install dependencies.
Instructions file CodexOpenCode
AGENTS.md instructions for labring/FastGPT, covering agents.md, 项目概述, 设计文档, 架构 and packages (库代码).
Instructions file CodexOpenCode
AGENTS.md instructions for Canner/WrenAI: Repository-wide instructions live in .claude/CLAUDE.md. Please refer to that file for shared build commands, architecture, and conventions.
Instructions file CodexOpenCode
Instructions for MemTensor/MemOS, covering agents.md, project overview, repository layout, command cheatsheet and core api.
Instructions file
Instructions for MemTensor/MemOS, covering claude.md, claude code entry, sub-agents and project knowledge.
Instructions file
Instructions for StarTrail-org/PixelRAG, covering pixelrag, layout and conventions.
Instructions file
Claude Code instructions for plastic-labs/honcho, covering claude.md, honcho overview, what is honcho?, core concepts and peer paradigm.
Instructions file
Instructions for airweave-ai/airweave, covering claude.md, what is airweave?, architecture, common commands and local development (docker).
Instructions file CodexOpenCode
Instructions for OpenBMB/UltraRAG, covering agents.md, 1) project identity, 2) repository map (what matters most), 3) mental model of the system and 4) two-phase execution lifecycle.
Instructions file
Instructions for OpenBMB/UltraRAG, a project described as: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines.
Instructions file CodexOpenCode
Instructions for VectifyAI/OpenKB, covering agents.md — openkb map for coding agents, read next, dev commands, module map (openkb/) and hard invariants.
Instructions file
Instructions for VectifyAI/OpenKB, a project described as: OpenKB: Open LLM Knowledge Base.
Instructions file CodexOpenCode
Instructions for smallcloudai/refact, covering refact monorepo, repository map, verification commands, engine (refact-agent/engine/) and fast check — type/borrow errors only (1-3 min, no codegen).
Instructions file CodexOpenCode
Instructions for agentscope-ai/ReMe, covering agents.md, project principles, sources of truth, repository map and development setup.
Instructions file
Instructions for agentscope-ai/ReMe, a project described as: ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
Instructions file GitHub Copilot
Instructions for modelscope/evalscope, a project described as: A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Instructions file CodexOpenCode
Instructions for modelscope/evalscope, covering agents.md, setup, build, lint, test, docs generation and quick eval.