AIエージェント
milvus
The cloud-native vector database for planet-scale similarity search.
★ 46.3k スターApache-2.0
ガイドを見る →weaviateは、weaviateが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: weaviate/weaviate）。GitHubスターは16,874、フォークは1,423で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
Vector search plus structured filtering in one database.
Be clear about the problem you are solving before installing.
Clone the repository and skim the docs for hardware or key requirements.
Install dependencies, then add API keys, endpoints, or local-model settings.
Launch the example flow and verify the output matches expectations.
Store data and embeddings together.
Vector plus keyword search in one query.
Built-in generative retrieval capabilities.
Scalable, fault-tolerant architecture.
Efficient and concurrency-friendly.
Extensive developer documentation.
Download the source and move into the project folder.
git clone https://github.com/weaviate/weaviate.git
cd weaviateCompile the Go services.
go build ./...Follow the developer docs — Docker is the fastest way to try it.
# see https://weaviate.io/developers/weaviate/It is maintained by the weaviate organization at weaviate/weaviate, with 1,423 forks.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one. Check the repository for any LICENSE file.
Self-hosting is the free path; a managed cloud also exists.
Compare with Qdrant, Milvus, and pgvector on filtering, generative features, and operations.
The quickstart in the developer docs — usually Docker-based — is the fastest route.
The cloud-native vector database for planet-scale similarity search.
A high-performance vector search engine for next-gen AI.
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
An Agent OS with interview-gated, budgeted evolution — one MCP server across 14 agent runtimes.
Open-source search infrastructure built for AI workloads.
Jev Ultrafast — the fastest browser agent from browser-use: one decision-model request per action cycle drives a real browser, MIT
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — weaviateが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でweaviateとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
A CLI that writes and maintains agent-ready docs for your codebase.
Google's MCP Toolbox for Databases - give agents safe, structured access to your data
Agent-native memory infrastructure - structured, persistent memory for production agents
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code /…
A dev-first framework for building and running autonomous AI agents.
A serverless, single-file memory layer for AI agents - replace complex RAG pipelines