Discover the best Embeddings open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
Open-source inference server and production cluster for all the models your agent needs.
Local-first AI agent memory with a knowledge graph, ontology constraints, and traceable reasoning—all in one SQLite file.
Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
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.
AI sovereignty for the world's most trusted runtime.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
The Ruby AI framework.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Embedded retrieval library built on Parquet. Fast, efficient, and scalable.
Semantic codebase indexing and search for OpenCode, Claude, Codex, Pi, Jcode, and MCP hosts. Powered by Rust and tree-sitter.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows