MlkBlk-IT /

icycache

Multi-upstream LLM gateway for local and cloud providers with normalization, caching, routing, MCP tools and live metrics

A new way for AI to search for data
View on GitHub
1GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 82455f2824.

Selected work

Malik Belkacemi
@MlkBlk-IT

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-01. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

fastapilocal-firstmcpsemantic-cachecpu-onlymcp-serverllm-gatewaypip-installable

Example questions

The prompt

Paste it into your AI agent. It clones MlkBlk-IT/icycache at the pinned commit and indexes it on your machine.

Search the GitHub repository MlkBlk-IT/icycache with XERJ (https://hub.xerj.org/corpus/mlkblk-it--icycache).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/MlkBlk-IT/icycache icycache && git -C icycache checkout 82455f2824ac489d3d9b7f5f4dba5bf399c23a84
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./icycache --url http://127.0.0.1:9200 --prefix icycache --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Malik BelkacemiAI, prompts and agents corporadunorth595--ai-agent-memorylokdocsqrdunorth595--ai-agent-chatMlkBlk-IT/mcp-loom-mcpMlkBlk-IT/Mcp-QadGraphdziksu/synkinema

Selected work and consent: the XERJ registry.