OpenCode Plugin Gives AI Coding Agents Persistent, Scoped Memory Across Sessions

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A developer has released an experimental plugin called opencode-agent-memory for the OpenCode AI coding assistant, addressing the common problem of agents losing context between sessions. The plugin treats agent memory as editable, scoped Markdown files stored on disk, with separate global and project-level memory blocks each carrying a label, description, size limit, and read/write permissions. Three tools — memory_list, memory_set, and memory_replace — allow the agent to explicitly read and update these structured memory blocks. An optional append-only journal feature lets agents log observations and decisions, with local semantic search powered by an embedded multilingual model so journal content never leaves the user's machine. The plugin is designed to give AI coding agents structured, maintainable context without relying on opaque remote services or a single flat instruction file.

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