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Ambience: Institutional Context Layer

Institutional context layer for agents

Ambience establishes a comprehensive context layer for agent-based work. Key capabilities include: * Session capture and redaction * Context scoping across teams and projects * Context sharing for improved future sessions * Conflict identification in decision-making * Team alignment through information flagging This platform captures every agent session run by your team, whether from public tools or custom agents. It then intelligently redacts sensitive information and scopes the context appropriately for personal, team, project, or organizational use. The captured knowledge is then made available for any other agent within your organization, ensuring that subsequent sessions begin with more relevant and informed starting points. A core feature of Ambience is its ability to extract the underlying reasons for decisions made during agent interactions. It constructs a conflict graph to identify and flag any conflicting information or decisions, helping to maintain clarity and alignment across the entire team. This ensures that institutional knowledge is consistently applied and prevents duplication of effort or misdirection. Ambience is ideal for development teams, research groups, and any organization heavily relying on agent-driven processes, aiming to build a collective memory and ensure consistent, informed operational execution.
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