LNSAT

Layered Network Substrate for Agent Telemetry - AI agent governance and policy enforcement layer for MCP, APIs, CLIs, and tools: scoped…

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

Rust, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 0ff8ea8b97 (2026-10-18).

Selected work

Hypler
@hypler-dev

“persist authenticated action requests”. 24 files, 4,900 lines in crates/lnsat-store, crates/lnsatd, scripts.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-19. 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

agent-securityai-agentsaudit-trailauthorizationhuman-in-the-loopmcppolicy-enginerust

Example questions

The prompt

Paste it into your AI agent. It clones hypler-dev/LNSAT at the pinned commit and indexes it on your machine.

Search the GitHub repository hypler-dev/LNSAT with XERJ (https://hub.xerj.org/corpus/hypler-dev--lnsat).
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/hypler-dev/LNSAT LNSAT && git -C LNSAT checkout 0ff8ea8b97589e2fe1d4a9a569cfed87503b0dd7
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./LNSAT --url http://127.0.0.1:9200 --prefix lnsat --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.