Enables AI agents to maintain and share project-level understanding across sessions and machines.
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AI agents often lose critical project context between sessions and struggle to collaborate effectively on shared endeavors, frequently re-discovering information or making redundant decisions. Seam addresses this by serving as a central, lightweight Model Context Protocol (MCP) server where agents can persistently read and write project-level understanding. This includes design philosophies, architectural decisions, and current work statuses, ensuring agents start sessions with a comprehensive grasp of ongoing work and contribute their decisions back for future reference, fostering seamless collaboration without cold starts.
主な機能
01Optimistic concurrency with version checking to prevent silent overwrites of context.
02Automatic index refresh on section reads, keeping agents updated.
03Optional plugin for automatic context loading and write-back proposals in AI agent sessions.
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05Shared context storage using an index of sections and freeform prose.
06Isolated workspaces to manage context for different projects.
ユースケース
01Facilitating seamless collaboration between multiple AI agents working on the same project.
02Maintaining persistent project context for AI agents across multiple sessions.
03Sharing architectural decisions, design philosophies, and current project status among AI agents.
