ahmadrosid
ahmadrosid is an individual software engineer and independent open-source creator, not a separately identified corporation. He is building Nakama, an open-source, self-hosted AI-agent platform for teams that combines agents, tools, memory, channels, and workflows in a multi-tenant workspace.
At a Glance
- Teams that want shared AI agents rather than a single-user assistant
- Companies needing self-hosted/private AI-agent infrastructure
- Agencies or operators running separate agent environments for multiple clients
- Internal operations, support, research, CRM, reporting, and content teams
- +1 more
AI Tools by ahmadrosid
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Nakama
Open Source Multi Agent Platform
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Latest News
Nakama v0.4.11 released with mobile-ready PWA dashboard, scheduled workflows, per-organization Telegram credentials, GitHub skills/npm plugins, new model providers, guided onboarding, and security improvements.
Nakama v0.4.10 released with message editing/regeneration, per-reply token/cost usage, direct Mistral/Together AI/Moonshot Kimi providers, organization profile moves, and opt-in observability.
Nakama v0.4.9 released with ChatGPT Plus/Pro Codex OAuth, Grok subscription OAuth, MicroSandbox bash execution, workflow status refresh, and default token optimization.
Nakama v0.4.8 released with user-triggered workflow recipes, configurable worker polling, installed-version display, and Exa/Firecrawl web-search options.
Products & Services
Open-source, MIT-licensed AI-agent platform for teams. It provides a web dashboard and a multi-tenant server where organizations can manage members and agent profiles, with each profile having its own role/instructions, model, memory, tools, skills, knowledge-base access, and permissions.
Managed hosting at getnakama.cloud for running a dedicated Nakama instance without installing Bun, Docker, or a VPS; the official repository describes the flow as creating an account, provisioning an instance, and completing setup in the browser.
Deployment options include running from source with Bun, a Docker image (ghcr.io/ahmadrosid/nakama), or a Coolify deployment, with a web dashboard and API documentation.
Market Position
Nakama positions itself as a team-oriented alternative to personal/operator-focused agent projects: its README explicitly compares it with Hermes Agent and OpenClaw, while emphasizing multi-organization tenancy, roles, isolated agents, shared workflows, and a simpler managed or one-container deployment. It competes with self-hosted AI-agent/orchestration tools, but differentiates around team collaboration, tenant isolation, and practical deployment.
Leadership
Founders
Ahmad Rosid
Self-taught software engineer from Indonesia with no formal computer-science degree. His personal site says he taught himself to code after being unable to find local work, then worked remotely for teams in the US and Australia; his GitHub profile says he previously worked at Bud.app (acquired by Figma) and is currently building Nakama.
Executive Team
Ahmad Rosid
Creator and maintainer of Nakama; independent software engineer
Self-taught Indonesian software engineer; previously at Bud.app (acquired by Figma), and author of ahmadrosid.com. He is the primary public creator/maintainer of the Nakama project.
Founding Story
Ahmad Rosid says he started Nakama after experiencing how quickly self-hosted AI-agent setups become a tangle of providers, tools, channels, prompts, and storage. His initial vision was to make self-hosting feel closer to setting up WordPress: install it, configure it, create the bots needed, and use them with a team. The project is designed around organization/tenant boundaries, members, profiles, and tools rather than a single personal assistant.
Business Model
Revenue Model
The project is open source and self-hostable under the MIT License; the associated commercial offering is managed hosting through Nakama Cloud. Public pages inspected describe managed hosting but do not publish plan prices or revenue figures.
Target Markets
- Teams that want shared AI agents rather than a single-user assistant
- Companies needing self-hosted/private AI-agent infrastructure
- Agencies or operators running separate agent environments for multiple clients
- Internal operations, support, research, CRM, reporting, and content teams
- Developers and technical teams that need an extensible open-source agent platform
- Running an AI-agent backend for a customer-facing product
- Coordinating multiple agents in repeatable workflows
- CRM updates and customer follow-up assistance
- Social-media idea generation and post preparation for review
- Research, drafting, and editing a book with multiple agents
- Automated recurring daily reports