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OnBuzz
Pricing
- Model
- Free
Summary
Cloud-dependent agent platforms look fine until you need to run a sensitive workload, hit a rate limit at 2am, or discover that your agent fleet's memory lives on someone else's server. OnBuzz is a local-first, open-source agent orchestration platform that runs your entire fleet on your own machine.
OnBuzz, built by Loxia, lets you spin up multiple autonomous agents that collaborate on tasks, connect directly to LLM providers, and execute work without a cloud intermediary. The Apache-2.0 license and self-hosted design mean your data and your agents stay where you put them. It ships as an Electron app with installers and binaries, so setup does not require hand-rolling a container stack. The tool-use and inter-agent collaboration model is genuinely capable — agents can hand off tasks, run in parallel, and schedule work without you babysitting. Where it strains: the community repository has modest GitHub traction (33 stars at time of indexing), which means documentation gaps surface quickly and community debugging support is thin.
Bottom line: OnBuzz is the right pick when privacy requirements or air-gap constraints rule out cloud platforms — but if you need a large ecosystem of pre-built integrations or battle-tested production scale, you will be building and debugging infrastructure the community has not yet stress-tested.
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Pros
Sign in to edit- Fully local execution with no cloud dependency, so sensitive workloads — regulated data, proprietary models, air-gapped environments — never leave your machine.
- Direct LLM provider connections, which means you control API routing and can swap providers without changing platform configuration when costs or availability shift.
- Ships as a packaged Electron app with installers and binaries, so the time between download and first running agent is measured in minutes, not a multi-hour container setup.
- Apache-2.0 license with an open contribution model and public roadmap, so you can audit exactly what the agents are doing, fork freely, and patch the gaps that matter to your use case.
- Inter-agent collaboration built into the architecture — agents can work in parallel and hand tasks between each other — so complex multi-step jobs do not require you to serialize everything through a single prompt chain.
Cons
Sign in to edit- The community is early-stage: 33 GitHub stars and a small contributor base at time of indexing means that when your agent workflow hits an undocumented edge case, the support path is reading source code, not finding a Stack Overflow thread or a Discord answer. Teams with a production deadline switch to a platform with a larger ecosystem — LangGraph, CrewAI, or a hosted alternative — precisely at this moment.
- There is no API surface described in the available documentation, which means OnBuzz cannot be embedded inside a larger application pipeline or triggered programmatically from external systems. Teams that need to call agent workflows from their own backend code hit this wall immediately and must either wrap the Electron app in a fragile subprocess layer or abandon the tool for something that exposes an API.
- As a local-only platform, horizontal scaling requires you to run multiple instances manually across machines. There is no built-in cluster management or work queue that distributes load — when agent throughput needs to grow beyond a single machine, you are building the scaling layer yourself.
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About
- Platforms
- Windows, macOS, Linux (Electron desktop app, web UI, terminal UI)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-27T08:15:56.790Z
Best For
Who it's for
- Users wanting fully local multi-agent systems
- Developers building agent fleets with custom tools
- Privacy-focused AI experimentation
- Contributors to open agent orchestration
What it does well
- Running multiple autonomous AI agents on a local machine
- Orchestrating agent collaboration for complex tasks
- Local development and testing of multi-agent workflows
- Scheduled agent tasks without cloud dependency
Integrations
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Frequently Asked Questions
- Is OnBuzz free?
- Yes — OnBuzz is fully free to use. There is no paid tier.
- Is OnBuzz open source?
- Yes. OnBuzz is open source.
- Can I self-host OnBuzz?
- Yes. OnBuzz supports self-hosting on your own infrastructure.
- What platforms does OnBuzz support?
- OnBuzz is available on: Windows, macOS, Linux (Electron desktop app, web UI, terminal UI).
Hours Saved & ROI Stories Community
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Curated lists that include this category
Most agent orchestration tools require you to hand your workflow, your credentials, and often your data to a cloud service. OnBuzz inverts that: the vendor describes it as a local-first platform where you run a fleet of autonomous agents directly on your own machine, connecting to LLM providers yourself, with no cloud intermediary in the loop. The core workflow is agent definition, tool assignment, and task scheduling — all managed through an Electron-based desktop UI that ships with installers and binaries, not just a source repo you have to compile yourself.
The differentiating feature is the inter-agent collaboration model. Agents do not just run in isolation — the docs describe them working in parallel and handing tasks between each other, which means you can decompose a complex job (research, draft, review, publish) across a coordinated fleet rather than wiring a single monolithic prompt chain. This is the same architecture that powers Loxia’s commercial Autopilot product, so the open-source version is a production-derived design, not a stripped demo.
OnBuzz fits tightly scoped scenarios: local development of agent workflows before cloud deployment, privacy-sensitive workloads where data cannot leave the machine, and scheduled automation tasks where you need zero dependency on external uptime. It breaks down when you need a deep catalog of pre-built connectors, a managed scaling layer, or a large community to absorb your edge-case bug reports. The repository shows active development but a small contributor base, which means documentation gaps are real and workarounds often require reading source code.
The project is Apache-2.0 licensed and accepts community contributions via a public roadmap. It includes a skills directory, a web UI layer, and an Electron shell — the architecture is modular, but the integration surface for custom tooling is something you build and own, with precious little scaffolding from the community so far.