Adib Mohsin / Antarys AI
Adib Mohsin is a solo software engineer and creator, rather than a separately documented corporation. He builds open-source AI infrastructure and developer tools intended to make AI more accessible, private, and useful; his current work includes Atlas, source control for coding agents, and earlier Antarys AI, an AI-data/vector-search platform.
At a Glance
- Individual developers and open-source contributors
- Software engineering teams using coding agents
- Teams building private, self-hosted, or offline AI systems
- RAG and multimodal-search application developers
- +1 more
AI Tools by Adib Mohsin / Antarys AI
(1)Atlas
Multi Agent Runner for macOS
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Products & Services
Desktop, local-first source control and workspace for coding agents. It runs Claude Code, Codex, Atlas Agent, OpenCode, Cursor, and other ACP-registry agents; records sessions, links commits to the sessions that produced them as checkpoints, and provides shared agent memory, editor, terminal, Git, knowledge-base, browser, and multi-workspace features.
Open-source AI infrastructure/vector database platform for multimodal embedding search. It supports in-memory operation with disk persistence, asynchronous HNSW search, encryption, REST APIs, compiled-server deployment, cloud ambitions, and client SDKs for multiple languages.
Rust SDK for building coding agents, with composable tool execution, LLM streaming, sub-agent orchestration, persistent memory, skills, and MCP integration. Its repository also includes Abstract, a complete CLI coding agent built on Cersei.
C/C++ header-only library for text and sparse/image embeddings and document reranking via ONNX Runtime.
Market Position
Antarys is positioned as a fast, extensible, private/self-hosted and multimodal alternative in the vector-database space; its own materials and testimonials compare the category with Pinecone and Chroma and emphasize offline deployment, encryption, and performance. Atlas is positioned as source control and a context/memory layer built specifically for coding agents, rather than a conventional editor with a chat panel; it works alongside or integrates Claude Code, Codex, OpenCode, Cursor, and other ACP agents. Cersei is positioned as an embeddable Rust library alternative to standalone coding-agent CLIs.
Leadership
Founders
Adib Mohsin
Software engineer who began web development in 2018. His published background includes JavaScript development at TBL Tech Nerds, frontend engineering at Bepaari and Puthika, contractual software engineering at LayoPay, software engineering at WithU Ventures (shipping features to 500k+ users), consulting for UVTR, and AI implementation/architecture work at IdeaBox AI. He studied computer science at BRAC University.
Founding Story
Mohsin says he began building software in 2018 and later founded Antarys AI to address latency, compute, privacy, and control problems in AI applications. Antarys started as a vector database/framework for embedding search with in-memory operation and disk persistence, and was subsequently open sourced. He is now building Atlas to preserve coding-agent sessions, context, and the reasoning behind commits instead of letting that information disappear in terminal scrollback.
Target Markets
- Individual developers and open-source contributors
- Software engineering teams using coding agents
- Teams building private, self-hosted, or offline AI systems
- RAG and multimodal-search application developers
- Organizations implementing AI into existing products
- Software engineers running and supervising Claude Code, Codex, OpenCode, Cursor, or other coding agents
- Teams that need an auditable history of agent work and commit provenance
- Developers who want local/offline/private agent memory and source-control context
- RAG, semantic search, and multimodal AI applications needing a self-hosted vector database
- Organizations building embedded or custom coding agents in Rust
- AI implementation and architecture work for product teams
- Dubotech, described as an underwater-drone company that used Antarys for spatial-data embeddings
- UVTR, described as using Antarys for e-commerce product embeddings
- Open Dimensions, described as using Antarys for chat-retrieval systems
- Puthika: 100k+ mobile downloads and 10k active MAU reported on Mohsin's portfolio