Expired50% confidenceSolutionExact time
Conversation records are typically vectorized using the OpenAI Embeddings API, stored in vector databases such as Pinecone and Chroma, and retrieval tasks are triggered by the Agent on a scheduled basis.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/25/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/23/2026(expired)
Sources
Related Claims
UnverifiedOpenAI Agents SDK使用to_input_list()方法将上一次的运行结果转换为可重新输入的格式，以实现对话历史的手动管理72% similarUnverifiedOpenClaw implements a dual-layer memory architecture: short-term memory relies on the context window to manage the current session state, while long-term memory leverages vector databases (such as Chroma and Pinecone) to achieve cross-session semantic retrieval.69% similarUnverifiedAgents call external APIs via plugins to obtain real-time data, orchestrate multi-step task execution logic via workflows, and save contextual information via memory modules.68% similarUnverifiedThe tool provides multi-session management functionality, recording complete event stream information including the time messages were sent and tasks executed.68% similarUnverifiedDify features visual workflow orchestration at its core, supports knowledge base management and multi-model switching (compatible with OpenAI, Anthropic, and local Ollama), and has built-in observability tools that record the input, output, and latency of each call.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/615263API
curl https://kongchang.com/api/v1/knowledge/claims/615263MCP
get_claim(id=615263)