arXiv (All)
open access
AkasicMEM: Governed Enterprise Memory for Agents
Agent memory enables enterprise agents to retain knowledge acquired during work and reuse it across tasks and agents, turning execution experience into persistent organizational knowledge. Realizing this potential requires both source--memory integration, through which enterprise sources and accumul
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AkasicMEM: Governed Enterprise Memory for Agents#1043179
- Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads#1062655
- Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents#1063545
- Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation#820404
- Reputation as Community Memory for the Agentic Web#1014096
Record · ID 1061201
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive