GoodMem integration
Store documents as memories with vector embeddings and perform similarity-based semantic retrieval using GoodMem
- Actions
- 6
- Triggers
- 0
- Auth
- Custom auth
- License
- MIT, open source
- Updated
- November 2026
About the GoodMem integration
Add the GoodMem piece to a flow, connect your account once, and the rest of the builder can read from it and write to it. Because the piece is open source you can run it on our cloud or self-host it, and combine GoodMem with 770+ other apps in the same flow.
Actions
Everything Activepieces can do in GoodMem
Drop any of these into a flow and fill in the fields. No code is required.
Create Space
Create a new space or reuse an existing one. A space is a logical container for organizing related memories, configured with embedders that convert text to vector embeddings
3 fields
Create Memory
Store a document as a new memory in a space. The memory is processed asynchronously - chunked into searchable pieces and embedded into vectors. Accepts a file or plain text.
7 fields
Retrieve Memories
Perform similarity-based semantic retrieval across one or more spaces. Returns matching chunks ranked by relevance, with optional full memory definitions.
10 fields
Get Memory
Fetch a specific memory record by its ID, including metadata, processing status, and optionally the original content.
2 fields
Delete Memory
Permanently delete a memory and its associated chunks and vector embeddings.
1 field
List Spaces
List the spaces in your GoodMem account, optionally filtered by name.
3 fields
Use GoodMem in a flow
Connect GoodMem once and every trigger and action above is yours to drop into the builder, alongside 770+ other apps. Free to start, on our cloud or your own servers.
GoodMem, answered.
Yes. Activepieces is open source and free to start, and the GoodMem piece is included on every plan, from the free cloud tier to any self-hosted deployment.
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