Minara on Sept. 9 unveiled Minara Harness, a new general-purpose financial agent that the company says is now available for download worldwide. The product is designed to cover multiple asset classes, run investment research around the clock, and execute automated trades within permissions granted by users. According to the announcement, users can query financial markets in natural language, generate research reports, build quantitative strategies, and also handle routine tasks such as coding, web searches, and document work. The platform also lets users choose the underlying large language model.
On the research side, Harness can call multiple specialized AI agents at the same time to examine a single investment idea from the perspectives of fundamentals, valuation, market trends, and potential risks. Users can review each agent’s information sources and differing conclusions before deciding whether to place a trade. Minara also said the system can turn natural-language trading instructions into code and run backtests. In addition, users can subscribe to other traders’ strategies and inspect their code, historical results, and live performance metrics. The company said Harness also includes an optional post-decision review mechanism and reported benchmark results showing the product outperformed OpenClaw, Hermes, and Claude Code across multiple tests.
Minara on Sept. 9 released Minara Harness, a new general financial agent that is now open for download to users worldwide, according to BlockBeats.
The company said Harness is built to cover multiple asset markets, conduct investment research 24/7, and carry out automated trading within the scope of user authorization. Users can query financial markets in natural language, generate research reports, develop quantitative strategies, and handle routine work such as programming, web search, and document tasks. The platform also allows users to choose the underlying large language model.
Multiple AI agents can analyze the same trade idea
For research workflows, Minara Harness can call several specialized AI agents at once to assess the same investment opportunity from different angles, including fundamentals, valuation, market trends, and potential risks. Users can review each agent’s information sources and its conclusions, then decide whether to execute a trade based on the research output.
Natural-language strategy writing and backtesting
Harness also supports writing trading strategies in natural language, automatically generating code, and completing backtests. Users can also subscribe to strategies created by other traders and review strategy code, historical performance, and live operating metrics.
Review mechanism and benchmark claims
Minara said it offers an optional decision review mechanism that checks earlier judgments against later market outcomes and evaluates which lessons may be useful in future research.
The company also disclosed benchmark results for Harness. According to Minara, the product outperformed OpenClaw, Hermes, and Claude Code in multiple tests, and led in tasks involving financial reports, web research, and spreadsheets.
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