🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
- Stars
- 4,806
- Star gain
- +14
- Growth score
- 0.0029
Refreshing signal
Fetching the latest published ranking from Repovil.
AI open-source momentum index
Open-source signal / updated every 6 hours
Explore AI open-source repositories ranked by positive star growth over 7d. Compare recent momentum instead of lifetime popularity.
Browse RAG repositories grouped by the active GitHub topic mappings and ranked by recent star growth.
Live ranking
Published
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
Lightweight Nearest Neighbors with Flexible Backends
Open-source, free, multi-platform, one-click deploy, AI Agent–integrated personal bookmarking system|完全开源、免费、多端、一键部署、AI Agent 集成的个人收藏夹系统
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Setup and run a local LLM and Chatbot using consumer grade hardware.
Self-hosted AI gateway for private RAG, natural-language data access, and tool-calling agents.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
A group of notebooks and other files which can help you learn AI from scratch.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Build, run and scale AI agents like API and microservices
The agent engineering platform.
Local code intelligence MCP server and CLI for AI coding agents
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.