magic vs nanobot
Self-hosted AI agents compared
magic and nanobot both let users run AI agents they can host themselves. magic focuses on collaborative, centrally managed agents and workflows for organizations, while nanobot provides a customizable personal-agent framework for individuals and developers.
magic: Build and Manage Enterprise AI Agents
Magic is a self-hostable platform for building AI agents and workflows and connecting them to organizational tools and knowledge. It combines collaboration, approval controls, sandboxing, and budget limits for teams that need managed AI automation.
nanobot: Run a Self-Hosted Personal AI Agent
nanobot is a Python framework for running a personal AI agent through a browser, terminal, or chat apps. It combines model integrations with tools, memory, MCP, and scheduled workflows for people who want a customizable agent they can host themselves.
| magic | nanobot | |
|---|---|---|
| Language | TypeScript | Python |
| License | NOASSERTION | MIT |
| Stars | 5k | 48.8k |
| Forks | 567 | 8.6k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- magic is an enterprise platform with shared projects, approval controls, sandboxing, and department-level budgets; nanobot is a personal-agent framework with tools, memory, and scheduled tasks.
- magic connects agents to organizational systems and can produce deliverables such as reports and dashboards; nanobot emphasizes browser, terminal, and chat interfaces, plus developer integrations.
- magic is written in TypeScript, while nanobot is written in Python.
- magic reports its license as NOASSERTION and describes additional restrictions beyond an Apache 2.0 basis; nanobot uses the MIT license.
- magic offers self-hosting and links to cloud services; nanobot can run on local machines or servers, with model provider and gateway configuration for agent responses and integrations.
- The supplied repository figures list 5k stars and 567 forks for magic, and 48.8k stars and 8.6k forks for nanobot.
Choose magic if you…
- need shared agents, workflow automation, and collaboration for an organization.
- want controls such as human approval, sandbox isolation, or centrally managed AI budgets.
- plan to connect agents to internal business systems and create reports or other artifacts.
Choose nanobot if you…
- want a customizable personal agent accessible through a browser, terminal, or chat app.
- need a Python framework with an SDK, API, MCP support, or model-provider options.
- want to run recurring tasks using memory, scheduled automation, and configurable tools.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.