AIエージェント
mcp-use
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
★ 10.7k スターMIT
ガイドを見る →xerjは、xerj-org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: xerj-org/xerj）。GitHubスターは2,628、フォークは231で、Apache-2.0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4日です。
AI-native search that indexes code, docs, and PDFs with 40x fewer tokens than grep.
Get the Rust binary.
One command covers code, docs, logs, and PDFs.
Agents search instead of grepping.
Elasticsearch-compatible APIs just work.
One command indexes everything.
Far cheaper than grep-and-read loops.
Code, docs, logs, and PDFs.
Existing clients keep working.
Feeds long-term agent recall.
Search codebases for issues fast.
Download the source and move into the project folder.
git clone https://github.com/xerj-org/xerj.git
cd xerjEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at xerj-org/xerj with 231 forks.
Yes. Apache-2.0 licensed.
Lighter and agent-focused, with token-efficient indexing.
The project’s comparison against grep-based agent search; benchmark it yourself.
No. Elasticsearch-compatible APIs keep working.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
The best-benchmarked open-source AI memory system. And it's free.
The cloud-native vector database for planet-scale similarity search.
Native control plane for Claude Code, Codex, Cursor, Devin, and other coding agents.
High-performance code intelligence MCP server: your codebase as a persistent knowledge graph
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 — xerj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xerj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。
Multi-agent platform where every agent gets its own computer and long-term memory.
Chat with your data: an LLM agent that builds charts and business insights.
Long-term memory runtime for AI agents — plain Markdown as truth, local ranked retrieval, no API key
Build, run, and scale AI agents like APIs and microservices.
The open-source memory layer for autonomous agents — knowledge-graph memory that emulates human memory
Make your agents learn from experience with a dedicated context engine.