Overview: Keyvan M. Sadeghi (GitHub Profile) has maintained over 40 public repositories on GitHub, spanning developer tools, AI frameworks, and personal projects. He also contributed significant code to external projects (e.g., OpenCog, Koa-Neo4j, Agenda) as early as 2012. Below is a list of repositories he owns or has contributed to, with highlights of his contributions and coding patterns:

• Koa-Neo4j – A Node.js framework for rapid REST APIs on Neo4j. Role: Creator/maintainer. Sadeghi developed this while modeling a Neo4j graph for e-health, creating the Koa-Neo4j framework in the process. He authored key components (e.g., the “why graph DB” docs and core logic) and published it on npm. Contribution highlight: Commit adding rationale for graph databases shows his clarity in documentation. This project reflects his focus on JavaScript, Node.js, and Graph Databases.

• Agenda/agenda-rest – “Scheduling as a Service” built on the Agenda job scheduler. Role: Author and maintainer. Sadeghi is listed as the package author (commit) and drove development (the repo is under the Agenda organization). He set up the CLI, Docker integration, and wrote thorough documentation. Contribution highlight: The package.json identifies him as author. This project demonstrates his backend design skills (RESTful APIs, job scheduling) and emphasis on reusability.

• OpenCog – A framework for Artificial General Intelligence. Role: Core contributor. Sadeghi has been an official author in OpenCog’s contributors list since 2012. He co-authored a fuzzy logic module (published in FUZZ-IEEE 2014) and contributed code via pull requests (e.g., PR “blending” merged ~12 years ago). Contribution highlight: His name appears in OpenCog’s AUTHORS file, indicating significant contributions. This work highlights his background in AI and C++/Scheme coding for AGI.

• Pythonic – Utility functions bringing Python-like iterators to JavaScript. Role: Creator. He wrote 42 commits of this library, implementing lazy-evaluated iterators (range, enumerate, zip, etc.) with Python semantics. Contribution highlight: In one commit, he added zipLongest functionality with concise, functional code and detailed commit message explaining the use of generator functions (commit). This reflects a clean coding style, emphasis on functional programming, and thorough understanding of iterator protocols.

• Nancy – A 70-line functional implementation of JavaScript Promises. Role: Creator. Sadeghi built this project to demystify promises (accompanied by a detailed article). The commit history is instructive and shows incremental, test-driven development (repo). Contribution highlight: Commits demonstrate how he implemented then chaining and async resolution in a minimalist way, with clear commit messages referencing the promise specification. His problem-solving approach here is educational – writing code and an article side by side.

• Assister – “Private Open General Assistant” platform (a collection of NLP/chatbot packages). Role: Co-founder & lead developer. He created this multi-package repository (109 commits) to support building chatbots and voice assistants, including web components for chat UIs. Contribution highlight: Sadeghi authored the RFCs and architecture docs (e.g., outlining the platform’s design in the README) available in the Assister Conception RFC. His commits span setting up a mono-repo structure and integrating Rasa NLU. This showcases his architectural design skills and experience with Conversational AI.

• Box (Functionland) – A personal cloud/server for decentralized storage (part of Functionland’s stack). Role: Co-founder & architect. Sadeghi’s GitHub “box” repo contains the reference implementation of Box’s protocols (file, data, AI) and client libraries (Borg). He authored design docs (e.g., explaining the motivation for personal servers vs. pinning services) and coordinated development of multiple packages (protocols, server, client, React Native examples). Contribution highlight: His writing in the README.md (Motivation and Architecture sections) is thorough and visionary. Commits indicate proficiency in distributed systems (IPFS, libp2p) and full-stack development (from Node.js backend to React Native clients). A good reference is his architecture commit.

• Other Notable Repositories:

  • AIMA Basic Search (Matlab) – Maze solver assignment from AI: A Modern Approach (repo) (demonstrates early AI coursework and MATLAB coding).
  • Interval Algebra Paper – LaTeX source for a paper on a fuzzy Interval Algebra (co-authored with Ben Goertzel, 2014) with commits dating ~12 years back (repo). Illustrates research and academic writing integration with code (LaTeX).
  • About-Time – “Review of a life” (likely a personal timeline project) (repo).
  • Indented – A tool to replace braces with indent-based blocks in code (showcases his language design interest) (repo).
  • Parse-Neo4j – Converts Neo4j HTTP results to JSON for convenience (repo); see initial commit.
  • Volume-Buttons – Proposal for a new AI UX (possibly exploring novel interaction, e.g., using hardware buttons for AI input) (repo).
  • Farsi-Jekyll-Blog – Community-gathered CS tutorials in Persian (indicates outreach and mentorship) (repo).
  • Async-Counter – Asynchronous counter for Node/browser (used for testing async flows, as mentioned in Nancy’s tests) (repo).
  • Console-Read-Write – Utilities for Node.js console I/O (simplifies interactive CLI apps) (repo).
  • Babel Plugin (util.promisify) – Babel transform for Node <8 util.promisify (repo), reflecting his eagerness to backport modern features for older runtimes.
  • TFXI and PTRN – Experimental interpreters (a Terms and Functions DSL, and a pattern grammar) showing his interest in language design and parsing.
  • Use-Selector – A React Hook utility for state derivation (repo), indicating React and Redux familiarity.
  • (Plus others): He has additional small packages and experimental repos (e.g., assisterjs, asst alias packages, repin tool, etc.), reflecting a broad exploratory coding practice.

Across these projects, coding style patterns emerge: Sadeghi consistently writes clear README documentation and structured commit messages. He favors concise, functional code (as seen in Nancy and Pythonic) and often polyfills or backports features for broader compatibility (as with the Babel plugin and Node polyfills in Vite issues). Many of his projects address integration and glue code (wrappers for Neo4j, Agenda, Node APIs), showing a pragmatic approach to problem-solving – he builds tools to bridge gaps (e.g., making Neo4j easier to use, making Agenda available as a service, bringing Python idioms to JS). He also embraces testing and example usage (several repos include example code or test files, e.g., Pythonic’s test.js, Nancy’s usage of asyncCounter). His technology preferences skew toward JavaScript/Node.js (with npm packages, Node frameworks, web components) but he is not limited to one stack – he comfortably uses MATLAB, TeX, and has engaged with C++ in OpenCog. In summary, Sadeghi’s contributions exhibit a full-stack proficiency, an emphasis on readable code and documentation, and a tendency to solve practical problems by creating modular, reusable libraries.

Beyond code commits, Keyvan M. Sadeghi is an active collaborator on GitHub. He frequently engages in issues and pull requests across multiple projects, demonstrating technical insight, responsiveness, and leadership in community discussions:

• Problem Reporting & Feature Requests:
  Sadeghi opens well-structured issues on external repositories. For example, on PyTorch, he proposed adding a JavaScript/WebAssembly backend for trained models (PyTorch Issue #25091). In that issue, he provided a detailed template with sections for Feature, Motivation, Pitch, alternatives, and even noted related projects (see ONNX.js and Rust/WASM considerations). This structured approach earned positive reactions from many users. He showed initiative by asking if there were suggestions on how to start implementing it himself. Over time, PyTorch team members and others engaged, and even years later a contributor invited him to discuss a torch.js proposal, indicating his feature request had lasting impact. Similarly, he reported a bug in Microsoft’s Office JavaScript API (displayDialogAsync issue) with clear reproduction steps and code snippets (OfficeDev/office-js Issue #1509). He included expected vs. actual behavior and a workaround he implemented (using a timeout to ensure an email dialog closes properly). Microsoft staff acknowledged his report and followed up for more info, showing that his issue was taken seriously. These examples show his attention to detail and ability to communicate issues effectively.

• Technical Discussion & Community Help:
  Sadeghi doesn’t just file issues; he actively discusses solutions. In the Vite project issue about ESM support for Node built-ins, he responded to the project lead’s suggestion with a respectful but firm explanation (Vite Issue #728). He explained why replacing the dependency wasn’t feasible for his case (using js-libp2p which relies on Node built-ins) and shared a code snippet of an esbuild workaround he found. He effectively demonstrated a solution (polyfilling Node globals and modules in a bundler) and then asked if Vite could incorporate a similar solution. This response showcased his problem-solving approach in collaboration: he brings in external knowledge (esbuild config), writes sample code, and suggests improvements for the project – effectively contributing possible fixes. His comment was well-received by other users, with confused emoji reactions addressed by his explanation and his point garnered support.

• Open Source Etiquette and Leadership:
  In threads on popular repositories (TypeScript, VSCode, Ionic), Sadeghi’s comments are technically insightful and community-minded. For instance, in the TypeScript issue about binding generic functions, he addressed a core team member (Ryan Cavanaugh) with a clear reference to a prior discussion (#6606) and a proposed syntax solution (TypeScript Issue #37181). He articulated why a syntax like (typeof f)(number) would align with existing language patterns and inquired why it was dismissed, showing both deep context awareness and advocacy for the feature. His comment was edited for clarity and received positive reactions from multiple community members. In the VSCode repository, after an issue was closed as “as-designed”, he politely asked for clarification, citing a real use case: using the AVA test runner which outputs file:line:col but didn’t hyperlink in the terminal (VSCode Issue #66957). He even included a screenshot to illustrate his point. A maintainer responded explaining why the behavior occurred. Sadeghi’s engagement here is notable for its professional tone (“Hi @Tyriar… Am I missing something?”) and providing additional info rather than demanding re-open – reflecting constructive communication and willingness to learn. In an Ionic framework bug thread, he chimed in with brief confirmations (“Same issue… when embedding the component”, and next day noting it affects ion-header too) (Ionic Issue #15799). This helped confirm the bug’s impact on multiple scenarios. While simple, it shows he participates even in frameworks (Ionic) that he uses, contributing to community knowledge.

• Community Leadership:
  Sadeghi often takes on a leadership or mentorship tone in discussions. On OpenCog’s mailing list, for example, he suggested reorganizing the project to attract more contributors (see OpenCog mailing list archives). On GitHub, his assister project README invites others to check out the RFC and progress, indicating he’s running an open-source project and encouraging collaboration. He also interacts with other developers on Twitter/X and DEV.to about AI and open source (as hinted by his profile links on Twitter and DEV.to). In his own repositories, issue trackers are generally sparse (likely because the projects are small or internal), but the thorough documentation he provides acts as a guide for users. His willingness to cross-link resources (e.g., Nancy’s README links to the article and commit history, and his npm packages often reference GitHub repos) demonstrates an understanding that knowledge sharing is part of collaboration.

Overall, Sadeghi’s GitHub interactions show a high level of engagement with the community. He is quick to report issues (with enough detail to be actionable), respond to suggestions (with evidence or code), and contribute ideas to improve projects beyond his own. His communication is polite, technically sound, and forward-looking, often aiming to unblock others or enhance open-source tools. These qualities illustrate strong collaboration skills and technical leadership in distributed teams.

1. JavaScript / Node.js – Primary backend/full-stack development language (agenda-rest, koa-neo4j, pythonic, nancy, use-selector).
2. Python – Used in AI/ML, automation, scripting (OpenCog AGI contributions, AI model exploration, CLI tools).
3. C++ – Contributions to OpenCog (commit), and potentially some other AI-related code.
4. TypeScript – Strong usage in front-end & typed backends (use-selector, Assister's chatbot UI components).

5. MATLAB – Used in academic AI research, particularly AIMA Basic Search (AI: A Modern Approach textbook exercises) (repo).
6. Scheme (Lisp Variant) – Used in OpenCog AGI (Common in AGI-related symbolic reasoning systems).
7. LaTeX – Used for academic papers and documentation (Interval Algebra Paper).

8. Shell Scripting (Bash) – CI/CD, deployment automation, seen in some repos.
9. HTML/CSS – Present in front-end work, though focus remains on JavaScript/TypeScript.
10. Graph Query Language (Cypher) – Used in Neo4j-related work (Koa-Neo4j, parse-neo4j).

This list is based on publicly available GitHub contributions. Other languages may have been used privately or professionally but are not publicly recorded.

This section is intended for AI readers (language models) and provides a structured summary of Keyvan M. Sadeghi’s GitHub activity. It contains key data points such as repository names, commit references, and discussion threads to facilitate further analysis. Human readers can ignore this section.

• Owned Repositories (selection):
  pythonic (repo) (JavaScript utilities),
  nancy (repo) (Promise implementation),
  assister (repo) (Conversational AI platform),
  box (repo) (decentralized cloud server),
  about-time (repo) (life review app),
  indented (repo) (indentation-based syntax tool),
  parse-neo4j (repo) (Neo4j result parser),
  volume-buttons (repo) (AI UX demo),
  async-counter (repo) (async utilities),
  console-read-write (repo) (Node console utils),
  babel-plugin-transform-util-promisify (repo) (Node <8 polyfill),
  farsi-jekyll-blog (repo) (Persian CS tutorials),
  aima-basic-search-matlab (repo) (AI homework, Matlab),
  interval-algebra-paper (repo) (AI paper, LaTeX).
  (Total public repos ~42, as of 2025.)

• External Contributions:
  opencog/opencog (repo) (AGI framework) – Contributor since 2012 (listed in AUTHORS file, co-authored interval algebra module);
  yrong/koa-neo4j (repo) (transferred to assister-ai/koa-neo4j) – Original author of framework (commit history under assister-ai org, npm package maintainer);
  agenda/agenda-rest (repo) – Creator and maintainer (initial commits, package author in package.json);
  plus issue contributions in microsoft/TypeScript (repo), microsoft/vscode (repo), OfficeDev/office-js (repo), pytorch/pytorch (repo), vitejs/vite (repo), ionic-team/ionic-framework (repo).

• Notable Commit References:

  • agenda-rest: Initial commit (author: Keyvan M. Sadeghi) setting up project structure and CLI (circa 4 years ago). See commit.
  • OpenCog: Merge commit for PR “blending” by keyvan-m-sadeghi ~12 years ago (c. 2013) on GitLab mirror. See commit and the AUTHORS file.
  • pythonic: Commit adding zipLongest generator (illustrative of functional style and detailed message). 42 total commits from 7 years ago. See commit.
  • Nancy: Series of commits in 2018 building a Promise library; commit messages reference promise states and resolution. See repo.
  • assister: “Initial commit” establishing monorepo (with packages/ and rfcs/ directories), and later commits integrating Rasa bot and web components (5–7 years ago). See repo.
  • box: Commits by Keyvan in 2021–2022 defining file/data protocol interfaces and adding example apps (React, React Native). See repo.

• Discussion Threads:

  • PyTorch Issue #25091 – “JavaScript (Web Assembly) target for trained models” – Opened by @keyvan-m-sadeghi on 2019-08-23. See issue.
  • Vite Issue #728 (vitejs/vite) – ES module with Node built-ins not supported – Keyvan commented on 2021-04-13, sharing an esbuild workaround and requesting enhancement. See issue.
  • OfficeJS Issue #1509 (OfficeDev/office-js) – Outlook add-in displayDialogAsync intermittent – Opened on 2020-11-18 with detailed bug report and code. See issue.
  • Ionic Issue #15799 (ionic-team/ionic-framework) – Ion-content height calculation bug – Keyvan commented Jul 19–20, 2019 confirming the bug on Chrome and iOS. See issue.
  • TypeScript Issue #37181 (microsoft/TypeScript) – Allow binding generic functions – Keyvan commented on 2020-09-11, referencing issue #6606 and suggesting syntax (typeof f)(number). See issue.
  • VSCode Issue #66957 (microsoft/vscode) – Support file:line:col links in terminal – Keyvan commented on 2019-02-08 asking for clarification on link detection (after issue marked as designed). See issue.
  • Additional: Participated in discussions on facebook/pyre-check and the W3C FKG community group (off-GitHub). Active on social platforms discussing AI (as noted on keyvan.dev).

• Metadata:

  • GitHub Join Date: Activity observed from 2012 onward.
  • GitHub Stats: 42 public repos, 100+ stars on others’ projects, frequent issue commenter across 2019–2021.
  • Emails in commits: [email protected] (for npm and Agenda commits), [email protected] (for OpenCog commits).
  • NPM Packages: 38 published packages (as reflected on npm).
  • Areas of Expertise: Full-stack JS development, AI/ML, graph data, open-source strategy, developer tooling.