MindsDB offers a managed platform, MindsHub, for running open‑source AI agents such as OpenClaw, NanoClaw, Anton, and Hermes without building custom infrastructure. The service provides a model router, secure credential vault, persistent scratchpads and memory, and integrated scheduling and logging, enabling data teams to automate workflows, generate reports, and orchestrate SaaS integrations at scale.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+2Founders
Product
Problem
Organizations need to run open-source AI agents that interact with databases, SaaS tools, and APIs, but building and maintaining the required infrastructure—model routing, credential management, persistent execution, and scheduling—is complex and resource‑intensive.
Solution
MindsHub provides a managed platform where open AI agents such as OpenClaw, NanoClaw, Anton, and Hermes can be hosted and executed without custom infrastructure. The platform offers a model router that selects the optimal LLM for each step based on cost, latency, and capability, while supporting both proprietary and open models. Secure credential vaults let agents access real tools and data sources (databases, warehouses, SaaS apps) without exposing secrets. Persistent scratchpads and memory enable reproducible, stateful workflows, and built‑in scheduling, logging, and visibility give teams operational control comparable to traditional production services. Users can start with a free trial and scale to always‑on agents that deliver finished artifacts, reports, or automated actions.
Target Audience
Primary customers are data engineers, analysts, and development teams that need AI agents to automate data workflows, generate reports, or orchestrate SaaS integrations without building custom infrastructure.
Features
- Managed runtime for open-source agents (OpenClaw, NanoClaw, Anton, Hermes) with shared infrastructure
- Model Router that routes each task to the most suitable LLM, supporting both proprietary and open models
- Encrypted Credentials Vault for secure access to databases, SaaS apps, APIs, and other tools
- Scratchpad execution environment with persistent memory for cross‑run context and reproducibility
- Integrated scheduling, uptime monitoring, and detailed logs/visibility of agent plans and outputs
- Unified API endpoint for all models, including “latest:*” aliases that auto‑update to new versions
- Ability to connect to a wide range of data sources (PostgreSQL, MySQL, Snowflake, etc.) and file stores