runta

The locally developed AI Agent Alma, led by independent developer Yetone, ranked third in the latest round of cross-evaluation initiated by the AI Agent infrastructure company Runta, both in task success rate and cost of success, outperforming tools like Claude Code and OpenCode. The current leaderboard snapshot shows that Alma has a task success rate of 72.7%, just behind Codex CLI at 77.9% and Pi at 72.8%, while Claude Code stands at 70.0%.Alma costs approximately $0.80 on average for each successfully completed task, compared to Claude Code's $0.94, making it about 16% cheaper. This FrontierHarness v1.1 comparison evaluates the performance of the same large model under different Agent execution frameworks, covering 21 sets of Harness configurations, 5 large models, and 62 tasks, with each task repeated 4 times, planning to run a total of 26,040 times, which is 72 times the scale of the previous version. All tools operate in a unified cloud environment, comparing task success rates, token costs, and execution speeds.Alma emphasizes local operation and long-term memory, capable of reading and modifying code, executing terminal commands, searching the web, and supporting Skills and MCP, while also allowing for switching underlying models. Recently, Alma integrated with Herdr, allowing programming Agents like Claude Code, Codex, and Pi to continue operating within Herdr, and enabling users to view execution processes, respond to questions, and approve operations in a centralized chat interface. Users can also remotely manage multiple Agents on their computers via iPhone. The evaluation is still ongoing, and rankings may change; the models being tested are limited to open-source models like GLM, DeepSeek, Kimi, and Muse, and do not cover closed-source models from the GPT and Claude series.

Venture capital firm Andreessen Horowitz (a16z) announced an investment in AI Agent security startup Runta, which aims to help businesses manage and constrain AI agents like "raising children." The specific investment amount has not been disclosed.Runta founder Guanlan Dai previously worked on the technical team at Cloudflare and was a founding engineer at API connection startup Kong. He stated that AI agents share similarities with growing children: they have the ability to perform tasks autonomously but also require boundaries, supervision, and permission management. Dai believes that just as parents provide home safety protection for children and limit their access to credit cards, businesses also need to restrict the important documents that AI agents can access, the range of operations they are allowed to perform, and the amount of disposable funds available at one time.Runta is developing a set of "AI Agent guardianship" infrastructure to help businesses manage AI agents' permissions, security risks, and behavioral boundaries, preventing autonomous AI systems from causing data leaks, erroneous operations, or financial losses during task execution. As businesses increasingly deploy AI agents with autonomous decision-making capabilities, establishing a trustworthy and secure agent management system is becoming a new infrastructure requirement. Runta aims to become the "parental control layer" of the AI Agent era, providing capabilities such as agent identity management, permission control, risk limitation, and operational supervision for businesses. Industry insiders believe that as AI agents evolve from simple assistants to autonomous entities capable of operating business systems, handling transactions, and executing complex tasks, the infrastructure market surrounding agent security, governance, and compliance may experience rapid growth.