AgenticMemory: A Binary Graph Format for Persistent, Portable, and Navigable AI Agent Memory
Defines a portable binary graph format for persistent AI-agent memory.
Research corpus for the Agentra stack.
Total Papers
13
Projects
10
Open Access
100%
Model research papers in preparation. Training methodology, benchmark reports, and domain evaluation for Solen, Verac, and Axiom will be published here upon completion.
Defines a portable binary graph format for persistent AI-agent memory.
Extends memory with cognitive query capabilities and expanded retrieval logic.
Connects persistent memory infrastructure to agent tooling through MCP.
Compile mapped websites into typed APIs so agents import domains as libraries instead of browsing page-by-page workflows.
Delta-sharing architecture where each mapped site can reduce duplicate remapping and give new agents warm-start context.
Historical delta stacks for pattern detection, trend modeling, predictive alerts, and web-state memory over time.
Delegation chain verification, cross-agent trust revocation, and multi-party receipt attestation for production agent orchestration.
Reasoning-first fine-tuning methodology for domain-specialist models. Covers training pipeline design, benchmark selection, and evaluation frameworks for Solen, Verac, and Axiom.
Formal verification methods for XAP Protocol settlement flows and Verity Engine proof generation. Deterministic audit trails for autonomous agent commerce.