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Namma Agent, published by Santhosh Reddy and currently at version 2.3.1, is a self-hosted personal AI agent designed to function as a trustworthy assistant that measurably knows its user, with first-class support on Windows. Its purpose is to provide a personal AI experience that the user hosts and controls, combining a choice of cloud-based language models with a broad set of built-in capabilities. The agent can be connected to any cloud brain of the user's choosing, including Anthropic, OpenAI, Google, or any OpenAI-compatible endpoint, which allows it to fit into a variety of existing AI provider setups. It ships with approximately ninety native tools, enabling a wide range of tasks without requiring extensive additional configuration. A central feature is its in-process memory engine, which is backed by a published recall benchmark so that its ability to remember and retrieve information about the user can be measured rather than assumed. Event-driven watchers allow the agent to react to activity as it happens, supporting use cases that require ongoing awareness rather than one-off interactions. Security and trust are core parts of the design: a layered trust model is enabled by default and is visible in the user interface. This model includes per-channel sender trust, injection screening, a sandboxed shell, and a secrets vault, giving the user control over how the agent handles commands, external input, and sensitive credentials. These characteristics make Namma Agent relevant to the personal AI assistant and AI agent software category, particularly for users who want a locally hosted agent with transparent security controls and a memory system whose performance can be evaluated. Because only one version has been released so far, version 2.3.1 represents both the current and the sole listed release of the software.
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