Riyanshi Bohra
Riyanshi Bohra's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @riyanshibohra appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the anchor-ai-sdk corpus
hrithikkoduri/anchor-ai-sdk: Build the agent, not the plumbing. An open-source TypeScript AI agent harness with composable strategies, tools, sandbox adapters, memory…
- Reuse a worked example: the commit “sandbox/e2b: the E2B provider adapter” (11 files · TypeScript, JavaScript).
- Answer from anchor-ai-sdk's real TypeScript source instead of memory (AI, prompts and agents).
- Where does anchor-ai-sdk handle “sandbox/e2b: the E2B provider adapter”?
- What does src/sandbox do in anchor-ai-sdk?
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.
corpus hrithikkoduri--anchor-ai-sdk · AI, prompts and agents
Related corpora: r2r-enforce, promptify, graphrag, anthropic-cookbook
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
hrithikkoduri/anchor-ai-sdk
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/riyanshibohra)
Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.