AI context and agent platforms
RAG and agent platforms help models retrieve information and call tools. Legra addresses the durable corpus those sessions should improve: semantic context, files, conversations, permissions, branches, tasks, evidence, agreements, and operational knowledge organized around graph objects.
Where this category excels
Fast retrieval of relevant text, vectors, memories, and tool descriptions.
Model routing, agent loops, tool invocation, and conversational interfaces.
Rapid experimentation with changing model capabilities.
Where Legra extends the model
The graph and workspace remain durable and model-provider independent.
Agents receive explicit Use Cases, Stories, authority, budgets, review paths, and provenance.
Human and agent work continuously improves one shared, versioned corpus.
Questions to use in an evaluation
What durable corpus does each agent session improve?
Can the system explain authority, inputs, branches, decisions, and resulting changes?
Will organizational knowledge survive a switch of model or agent vendor?
Beyond database features
Legra also organizes the work that uses and changes the graph, the evidence needed to review that work, and the economic relationships that move data and value between parties. That operational layer is what turns graph infrastructure into data logistics infrastructure.
Legra keeps each piece of work together with the changes it made, the evidence behind it, and any costs incurred. That history stays private to the workspace and cannot be quietly rewritten.
Full provenance connects signed commits and exact deltas to task and transaction lineage, actors, delegated authority, imports, and every retained rule and premise behind derived facts.
The admitted total composes independently priced data value, compute, storage, custody, transport, external I/O, rights, and operator services instead of treating bytes as the value of data.
Every resource-consuming operation follows one path: measure, price, authorize, execute, record, and settle. Detailed evidence stays with the workspace instead of one central billing ledger.
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