Unverified50% confidenceFactExact time
SuperAgent proposes Inline Spill and chained recall for long-term context management: the current context retains only summaries and object identifiers, while full content is stored in queryable locations and read level by level along associated objects when needed.
1
Sources
50%
Confidence
Long-term
Relevance
11/4/2026
First Seen
Sources
Deep Dive into DeepSeek Super-agent Enterprise Agent Architecture
bilibili北山AI说11/4/2026
Related Entities
Related Claims
UnverifiedIn vector retrieval, two documents with similar content get nearly identical embeddings, and the system cannot tell which one has been invalidated; whereas a SUPERSEDES edge in the graph makes 'outdated' a traversable, citable, auditable fact.66% similarUnverifiedThe Supersedes field is the mechanism by which memory systems handle information updates, letting a new write explicitly declare which old record it replaces, to avoid both old and new versions remaining in the store at the same time and causing retrieval conflicts; the similarity gate itself cannot distinguish corrections from restatements, and must rely on such explicit annotation.66% similarUnverifiedRetrieval chunks need their length controlled to fit the embedding model's context window, need metadata such as title, source and time retained to support filtering and tracing, and should preserve semantic completeness as much as possible when splitting.64% similarUnverifiedThe SUPERSEDES relationship represents version replacement in the graph model; the old node is retained but marked as superseded, supporting time-travel queries and audit traceability.64% similarUnverifiedWhen an agent performs a multi-step research task, the search records, intermediate conclusions, and reasoning chains produced at each step continuously occupy the context window; once it approaches the limit, earlier information may be truncated or forgotten.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1136298API
curl https://kongchang.com/api/v1/knowledge/claims/1136298MCP
get_claim(id=1136298)