Unverified50% confidenceDecision RuleExact time
On day four the team decided not to add new features and instead focused their effort on six core behaviors: saving useful information, retrieving the correct memories, passing information to the model, using context correctly, avoiding irrelevant memories, and isolating user memories.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedThe team introduced a to-do list feature to help the model complete long-chain tasks, but as memory state capabilities improved, this feature is now almost no longer needed.70% similarUnverifiedArise团队最终采用的有效方案是智能截断与记忆存储的结合：保留前100个字符和最后100个字符，截断中间部分存入记忆存储，按需检索69% similarUnverifiedMemoryOps's core working loop consists of four steps: RECALL, REFLECT, RECOMMEND, and RETAIN.69% similarUnverifiedPlan mode is no longer lost when resuming with --continue or --resume <session-id>, and restored sub-agents and teammates no longer lose their prior reasoning processes and prompt cache.65% similarUnverifiedThe Skill caching mechanism reduces token consumption by reusing learned skills to skip reasoning from scratch, thereby reducing the number of reasoning rounds and context length.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1060572API
curl https://kongchang.com/api/v1/knowledge/claims/1060572MCP
get_claim(id=1060572)