Canny + Cognee: a feedback connector for AI agent memory

说明与用途

同步后，Canny 的帖子（包括投票和评论）被导入 Cognee 的知识图谱，支持查询最受欢迎的功能请求及其原因。

问题

Product teams need to answer what users want most and why, but Canny’s comments are scattered across posts.

结果

After syncing, Cognee can answer complex questions about feature requests, combining vote counts and comment analysis in a single query.

工作流

• Install cognee-community-connector-canny (pins cognee==1.4.0).
• Export CANNY_API_KEY and LLM_API_KEY (or pass api_key=).
• Call cognee.remember(canny_source(), dataset_name="canny").
• Query with cognee.search(query_text="Which feature requests have the most votes, and why do users want them?", query_type=cognee.SearchType.GRAPH_COMPLETION, datasets=["canny"]).

证据

Short answer: install cognee-community-connector-canny, set CANNY_API_KEY and LLM_API_KEY, and pass canny_source() to cognee.remember().

来源

After a sync, cognee.search answers questions against the graph.

来源

Canny’s posts/list endpoint has no "updated after" filter, and Canny has no feed of deleted posts.

来源