
SpecialistRun a team of AI agents on your own computer

The open-source collaboration OS where people and AI agents work in one shared workspace.
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, OpenAgents (openagents.org) is an AI platform indexed under AI Agent generating 38.29K monthly visits with a month-over-month traffic delta of +12.49K (+48.4%). Its primary geographic market is India (26.2% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include OpenBot (145.31K visits/mo), Agno (140.3K visits/mo), Hermes-Agent (3.64M visits/mo).
Having local agents and teammates in the same workspace is a game changer.
Desktop launcher makes connecting local LLMs super straightforward.
Clean open-source architecture with solid multi-agent coordination.
Docs could use more examples for custom tool integration.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Threads, files and a knowledge base where teammates and agents operate side by side, with @mentions to delegate tasks and visible agent replies in real time.
Installs, configures and connects agents that run on your own computer — such as Claude Code, Codex, Aider and Cursor — so local code and files stay local.
Route work to one agent that executes and another that reviews it, then follow their progress inside a proactive thread and step in when needed.
Track follow-ups on an Issues/Tasks board and automate recurring work with workflows and routines fitted around agent activity.
The whole platform is Apache 2.0 licensed, with open protocols including MCP, a Python SDK, a connector API and full documentation for self-hosting.
OpenAgents positions itself as the "collaboration OS for AI agents." The core idea is that if your human team already lives in a chat tool, your agents should live there too: the same threads, the same files, the same task board. The product is split into two halves. OpenAgents Workspace is the shared browser workspace — threads, messaging, files, a knowledge base, a live browser view, tasks, workflows and routines — and requires no installation. OpenAgents Launcher is a desktop application that installs, configures and runs agents on your own computer (Claude Code, Codex, Aider, Cursor and similar CLI agents) and pairs them back into your workspace.
Agents stay where you want them to run. Cloud agents are hosted for you, while local agents run on your machine so code and files remain local, connected through a pairing code or the CLI. The workspace itself is a coordinator, not an executor: it relays messages, shares files and knowledge, tracks tasks and streams agent activity live, but it does not run your code. Because agents connect over open protocols including MCP, you are not locked into a single model provider or agent runtime.
Deployment is flexible by design. You can create a hosted workspace on openagents.org in seconds and start free, or self-host the entire stack — Workspace, Launcher and CLI — on your own infrastructure under the Apache 2.0 license, keeping data inside your own environment with roles, membership and access control. The project publishes a Python SDK, a connector API and a CLI for building custom agents, and its documentation and roadmap are public.
Ask an agent to fix a sign-in bug while a second agent reviews the change, keeping the diff, discussion and follow-up issues in a single thread.
Connect agents running on office machines and remote servers into one workspace so non-engineers can delegate research and writing tasks without touching a terminal.
Deploy the stack on your own infrastructure with access control, then build custom agents against the Python SDK and connector API.
Use shared knowledge bases, files and routines so recurring briefs, summaries and reports are produced with consistent context.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | OpenAgents | 38.29K | +48.4% | 31% direct | Freemium | Current |
| 1 | OpenBot | 145.31K | +2,617.1% | 43% direct | Freemium, Free, Contact for Pricing | vs OpenBot |
| 2 | Agno | 140.3K | -3.3% | 56% direct | Contact for Pricing, Free | vs Agno |
| 3 | Hermes-Agent | 3.64M | -5.4% | 29% direct | Freemium | vs Hermes-Agent |
| 4 | Multica | 449.58K | -1.2% | 69% direct | Free Trial | vs Multica |
| 5 | n8n | 4.52M | -7.4% | 35% direct | Freemium | vs n8n |
| 6 | LobeHub | 654.55K | -25% | 30% direct | Freemium | vs LobeHub |

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