DeepSeek opens a modular runtime for autonomous AI agents

DeepSeek has released a developer preview of DeepSeek Harness, an open-source runtime for building autonomous AI agents, according to InfoQ. The system uses a micro-kernel architecture with modular plugins for different functions.

That design matters because agent systems often become hard to debug as tools, memory, planning, and execution logic are bundled together. A modular runtime can make it easier to swap components, inspect behavior, and build more specialized workflows.

The release also includes append-only event logging, which is useful for tracing what an agent did and why. As a developer preview, it should not be treated as mature infrastructure for every production use case, but it adds another option for teams experimenting with unbundled agent stacks.