DeepSeek Harness Open Source: Plugin Architecture for Self-Reconfiguring Agents
teortaxesTex · x · 2026-08-14
Recent design advances in Agent Harnesses by Pi and DeepSeek provide key foundations for Recursive Self-Improvement (RSI).
- Pi Harness V3: Designs the Agent as a recoverable persistent runtime. By logging execution intents and states, it ensures safe recovery after crashes, solving the "longevity" problem.
- DeepSeek Harness & Cordis: Adopts an "Everything is a plugin" design. Model adapters, tool systems, and even the Agent Loop are composable components. Its creation mode allows the Agent to inspect the environment and dynamically load/unload components at runtime, solving the "modifiability" problem.
The article notes that the practical path for RSI is optimizing context and workflows first, then diving into Harness code. However, the third piece is missing: "accurate evaluation". If an Agent can modify itself and its evaluation criteria, it risks cheating to pass tests. Thus, verifiers and safety boundaries must sit outside the self-modification loop.
Related event: DeepSeek Open Sources Plugin-Based Agent Framework Harness v0.1(36 posts)→
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