Toggleframe
A tenant-scoped context layer that resolves shows, episodes, shots, assets, versions, decisions, and citations into bounded agent sessions with freshness, permissions, and approved writeback.
Several active open tools confirm demand for persistent agent memory, but they focus on general development context. The supplied research found no hosted layer centered on media-production entities, asset lineage, and prior production decisions. Toggleframe connects authorized production sources to a canonical entity graph, then assembles a task-specific context bundle with exact source, version, observation time, owner, permission, and confidence. It does not treat remembered summaries as current truth or let an agent write back merely because it read a decision. Conflicts, deleted assets, stale approvals, embargoes, rights restrictions, and tenant boundaries remain visible. The original stage verified no production interfaces, so connector access, schema mapping, source terms, and safe write paths are pre-build gates.
The production technology, post-production engineering, media operations, asset management, or AI tooling leader coordinating agents across long-running productions.
Media-production technology and operations teams have a concrete continuity problem across assets and agents.
Ingestion, entity resolution, context assembly, citations, policy, conflict detection, and history scale through software.
A recent entity schema and agent context protocols improve timing, while persistent context itself is familiar.
A clear production-technology buyer, active horizontal memory category, viable media entity schema, and unoccupied vertical support software leverage.
No interfaces were verified, schema mapping is hard, incumbent copying cost is unproven, context can become stale or sensitive, and switching cost is only a hypothesis.
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