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Description

Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.

Description

SuperBased serves as a local-first control hub for AI coding agents, enabling developers to monitor, manage, and optimize agent performance from a single binary installed on their personal computers. It seamlessly integrates with 40 coding tools by directly reading native session data, eliminating the need for proxies, SDK modifications, or complicated setups, and supports various agents including Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The intuitive dashboard provides insights into token usage reported by providers, cache operations, expenses, session tracking, and forecasts for future messaging costs across tools that typically maintain isolated data. Developers can initiate over 20 CLI agents as terminal sessions, manage multiple repositories from a single interface, connect to an active agent, take control of the keyboard, and relinquish control when necessary. Additionally, model routing capabilities enable teams to effectively align tasks with the most suitable models, while egress gates allow for pre-execution command holds, giving users the power to halt or redirect actions that may be costly or pose risks. This comprehensive solution empowers developers to enhance their workflow and maintain better oversight over their coding agents.