AI Agents
mcp-use
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
★ 10.7k starsMIT
View guide →AI-native search that indexes code, docs, and PDFs with 40x fewer tokens than grep.
xerj is an open-source agents project by xerj-org (xerj-org/xerj on GitHub). It has 2,628 GitHub stars and 231 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 4 October 2026.
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.
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