AgenticMemoryPaper I
AgenticMemory: A Binary Graph Format for Persistent, Portable, and Navigable AI Agent Memory
Defines a portable binary graph format for persistent AI-agent memory.
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Publications and technical papers
Research corpus for AgenticMemory, AgenticVision, AgenticCodebase, AgenticIdentity, AgenticTime, AgenticContract, AgenticComm, and AgenticPlanning. Each paper documents core architecture decisions, data formats, and MCP integration pathways.
Total Papers
11
Projects
8
Open Access
100%
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archive.indexAgenticMemory
AgenticMemoryPaper II
AgenticMemory II: Nine Cognitive Query Types for Graph-Structured Agent Memory
Extends memory with cognitive query capabilities and expanded retrieval logic.
AgenticMemoryPaper III
AgenticMemory MCP: Bridging Persistent Cognitive Graph Memory to LLM Agents via the Model Context Protocol
Connects persistent memory infrastructure to agent tooling through MCP.
// SECTION: AGENTICVISION_PAPERS015
archive.indexAgenticVision
AgenticVisionPaper I
Cortex: Rapid Web Cartography for AI Agents via Structured Data Extraction and Binary Graph Navigation
Describes rapid web cartography and structured extraction for agent workflows.
AgenticVisionPaper II
AgenticVision-MCP: Persistent Visual Memory for AI Agents via the Model Context Protocol
Formalizes persistent visual memory workflows delivered through MCP interfaces.
// SECTION: AGENTICCODEBASE_PAPERS016
archive.indexAgenticCodebase
AgenticCodebasePaper I
AgenticCodebase: A Semantic Code Compiler for Navigable, Predictive, and Collective Code Intelligence
Introduces semantic code compilation for navigable and predictive code intelligence.
// SECTION: AGENTICIDENTITY_PAPERS016b
archive.indexAgenticIdentity
AgenticIdentityPaper I
AgenticIdentity: A Cryptographic Trust Anchor for AI Agent Systems
Defines a cryptographic identity framework for AI agents using Ed25519 anchors, signed action receipts, and scoped trust delegation.
// SECTION: AGENTICTIME_PAPERS016c
archive.indexAgenticTime
AgenticTimePaper I
AgenticTime: A Binary Temporal Format for Persistent, Portable, and Navigable AI Agent Scheduling
Defines a portable binary temporal format for persistent AI-agent scheduling, deadline tracking, PERT estimation, decay models, and timeline fork analysis.
// SECTION: AGENTICCONTRACT_PAPERS016d
archive.indexAgenticContract
AgenticContractPaper I
AgenticContract: A Runtime Policy Engine for Governed AI Agent Systems
Presents a self-contained policy engine modeling six governance primitives — policies, risk limits, approvals, conditions, obligations, and violations — in a single binary .acon file with nanosecond-scale evaluation.
// SECTION: AGENTICCOMM_PAPERS016e
archive.indexAgenticComm
AgenticCommPaper I
AgenticComm: A Structured Communication Protocol for Multi-Agent Coordination via the Model Context Protocol
Defines a portable binary communication format for structured multi-agent messaging, channel management, presence tracking, and protocol-native coordination delivered through MCP.
// SECTION: AGENTICPLANNING_PAPERS016f
archive.indexAgenticPlanning
AgenticPlanningPaper I
AgenticPlanning: A Binary Intention Format for Persistent, Portable, and Navigable AI Agent Strategic Reasoning
Defines a portable binary intention format for persistent AI-agent strategic planning, goal tracking, decision recording, commitment management, and dream simulation with multi-agent federation in .aplan files.
// SECTION: RESEARCH_DIRECTION017
ongoing.research
Web Compiler
Compile mapped websites into typed APIs so agents import domains as libraries instead of browsing page-by-page workflows.
Collective Graph
Delta-sharing architecture where each mapped site can reduce duplicate remapping and give new agents warm-start context.
Temporal Intelligence
Historical delta stacks for pattern detection, trend modeling, predictive alerts, and web-state memory over time.
Multi-Agent Trust
Delegation chain verification, cross-agent trust revocation, and multi-party receipt attestation for production agent orchestration.
Open to research collaboration and sponsorship support.contact@agentralabs.tech