Run 500 AI agents on a $10 server with this open-source tool
Running hundreds of AI agents on a single server usually incurs significant costs. OpenHuman reduces this burden, allowing you to operate a large agent fleet on a small server. Provided as a desktop app and a Rust library, this tool serves as a harness for executing agents.
Early beta that hit number one in a week
OpenHuman held the number one spot on GitHub Trending for nine consecutive days, one week after its release. It is currently in the early beta stage, and active development means it may have rough edges. However, it has already recorded the fastest coding task completion time and the lowest total cost among seven AI agent tools. Using the same prompt and model, OpenHuman finished the task in 20 seconds with 15k tokens and a cost of $0.0054. In contrast, the competing product Hermes took 9 minutes and 40 seconds, consuming 37k tokens and $0.0082.
Six design choices that reduce costs
Most agent harnesses follow a simple loop structure that sends all text to the model and waits for the result.
- RLM token compression Based on Recursive Language Models, this technology compresses large tool results before the AI reads them. For very large results, it provides handles for searching without reading the entire content. The data is not deleted.
- Jev tool search A small model that finds the correct tool among 1,215 options. The probability that the correct answer is included in the top candidates is 86.8%, which is higher than the 70.5% for keyword search.
- Integrated Rust bus All features, including search, documents, and voice, are connected to a single Rust bus. Features are loaded when needed, and if one feature stops, the others continue to work.
- Integrated memory Each turn selects only important information within the token budget and passes it to the AI with citations. It is provided by default, and the memory engine can be replaced via settings.
- Browser and desktop control Controls real browsers and desktop apps. It selects click positions from buttons on the screen without screenshots and always stops before payment.
Performance verified by public benchmarks
Seven harnesses were tested on the same SWE-bench tasks, models, API keys, and container environments. All calls were measured, and the configuration and results are public in openhuman-benchmarks for reproducibility. The latest run swe-x86-1 targeted 10 tasks. OpenHuman finished the test with less than half the median time, a 2.6x reduction in tokens, and one-eighth the memory and CPU usage. The number of model calls was 114, fewer than the 134 to 212 calls made by other tools. The total execution cost was $0.05, lower than the $0.08 to $0.35 for other tools.
Features for users and developers
Users familiar with Claude Code or Codex will already know the basic features such as the agent loop, MCP, skills, BYOK models, and memory. OpenHuman provides all these features in the form of a desktop app, a terminal app, and a headless server. Users can use built-in memory for files, repositories, feeds, and apps; an interruptible voice agent; control of real Chrome browsers and desktop apps; search engines like Exa and Gemini; native tools like shell and coder; MCP servers and skill bundles; OAuth integration for 119 apps via Composio; local models and BYOK for 26 providers including Ollama and LM Studio; 14 messaging channels including Telegram and Discord; durable workflow graphs; approval gates and sandboxed execution; a local-only Privacy Mode; OS keyring secret management; and per-call cost and token usage tracking with reproducible execution journals. Developers can add OpenHuman as a library to call agents like functions without a sidecar or daemon. A single runtime can hold hundreds of agents, and each agent has its own unique model, tools, memory, and sandbox.
Criteria for making a choice
OpenHuman is not only excellent as a single-user agent tool but also an open-source option that can be embedded as a library to scale to fleet size. While other tools are suitable for one person working with one agent, OpenHuman allows services that run one agent per customer per product to start without a cluster. The license is GPL-3.0, and since it is in the early beta stage, stability needs to be verified. Because product changes are fast, it is recommended to check each project directly before making a decision. Contributors receive free merchandise and special access to Discord.
