anchor-ai-sdk

Build the agent, not the plumbing. An open-source TypeScript AI agent harness with composable strategies, tools, sandbox adapters, memory…

A new way for AI to search for data
View on GitHub
2GitHub stars

TypeScript, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit aaeca611bf (2026-10-20).

Selected work

Riyanshi Bohra
@riyanshibohra

“sandbox/e2b: the E2B provider adapter”. 11 files, 1,007 lines in src/sandbox, evals, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, 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 hrithikkoduri/anchor-ai-sdk at the pinned commit and indexes it on your machine.

Search the GitHub repository hrithikkoduri/anchor-ai-sdk with XERJ (https://hub.xerj.org/corpus/hrithikkoduri--anchor-ai-sdk).
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/hrithikkoduri/anchor-ai-sdk anchor-ai-sdk && git -C anchor-ai-sdk checkout aaeca611bf3cb38477f061ebc234956f4a86246a
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./anchor-ai-sdk --url http://127.0.0.1:9200 --prefix anchor-ai-sdk --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

Selected work and consent: the XERJ registry.