Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents
Always-on agents are systems whose future behavior depends on durable state accumulated across earlier interactions. We treat them as persistent-state systems: the operative system includes retrievable memories, but also task ledgers, permissions, credentials, commitments, provenance and audit records, shared state, trigger conditions, and externally committed effects linked to those records. The survey reads the literature through six diagnostic axes for each state item, authority, scope, mutability, provenance, recoverability, and actionability, and through a lifecycle in which state is writ
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownlas7/memharness →
- LinkedLinked via unknownNoshkoto/Noshy →
- LinkedLinked via unknownagent-tools →
- PossiblePossibly related (embedding) · 29%MemTensor/MemOS →
“Possibly related via embedding similarity 0.57 (not asserted). Timestamp check: artifact after paper (+3d).”
- PossiblePossibly related (embedding) · 51%rajkripal/cashew →
- PossiblePossibly related (embedding) · 50%plastic-labs/honcho →
- PossiblePossibly related (embedding) · 49%litefuse/litefuse →
