OpenCode Dynamic Context Pruning is a plugin for OpenCode that intelligently manages conversation context to optimize token usage.
The plugin addresses the challenge of controlling token consumption in long-running conversations by automatically pruning conversation history. Rather than retaining entire conversation threads, it selectively removes or summarizes older context while preserving the most relevant information needed for the current interaction. This approach reduces the tokens sent to language models while maintaining conversation coherence.
Developers working with OpenCode who face rising token costs from extended conversations should consider this plugin. It suits projects where conversations grow long over time and token efficiency matters, such as chatbots, multi-turn dialogue systems, or interactive applications with sustained user engagement. The plugin integrates directly into OpenCode's architecture as a context management layer.
The project shows consistent maintenance with regular commits addressing bug fixes and feature refinements. Development activity demonstrates responsiveness to issues and pull requests, indicating active engagement with users. The codebase receives ongoing updates to improve pruning algorithms and context preservation logic.
