evm-amm-state

KaiCode2/evm-amm-state (Rust)

A new way for AI to search for data
View on GitHub
3GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 6e307145b4 (2026-10-18).

Selected work

Kai Aldag
@KaiCode2

“Narrow Slipstream NFT traffic without dropping staking evidence”. 12 files, 807 lines in src/adapters, tests.

Licence

The repository

Apache-2.0

From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones KaiCode2/evm-amm-state at the pinned commit and indexes it on your machine.

Search the GitHub repository KaiCode2/evm-amm-state with XERJ (https://hub.xerj.org/corpus/kaicode2--evm-amm-state).
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/KaiCode2/evm-amm-state evm-amm-state && git -C evm-amm-state checkout 6e307145b4a8b70ca3cff4b5d001ed5b028f037c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./evm-amm-state --url http://127.0.0.1:9200 --prefix evm-amm-state --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.