Unverified50% confidenceFactExact time
LongCat 2.5 is described by Meituan as a native multimodal model for long-horizon agentic tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/3/2026
First Seen
Valid until: 2/1/2027
Sources
Related Entities
Related Claims
UnverifiedLongZero constructs two types of self-generated tasks: multi-hop reasoning tasks (structured synthesis followed by expansion) and multi-turn retrieval tasks (the model writes questions that require multiple rounds of retrieval to answer).65% similarUnverifiedLong-horizon workflows refer to complex tasks that require a model to complete over an extended time span across multiple steps and tool calls.61% similarUnverifiedLongGuard's goal is to dynamically capture and recover from runaway agent loops rather than letting the program crash.57% similarUnverifiedLong-horizon agent tasks generally refer to task sets that require a model to maintain goal consistency, remember context, and dynamically adjust strategies across dozens or even hundreds of interaction steps.56% similarUnverifiedLongGuard adopts a circuit-breaker state machine of CLOSED → REFLECTING → HALF_OPEN → OPEN, injecting targeted system prompts into the agent to guide reflection and redirection upon detecting a loop.55% similar
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