nowledge-mem

# Nowledge Mem Use the enabled `nowledge-mem-connection` MCP tools for the server configured in Plugins > Nowledge Mem. Keep that destination, returned identity and Space for the whole operation. Never mix results from different Mem servers or silently retry on another server. At the beginning of related work, read Context Bundle once (`read_context_bundle`, source_app `deepchat`) for identity, scope, rules and Working Memory. Use `read_working_memory` only when the bundle tool is unavailable. An empty Working Memory is a successful empty result. For continuation, reviews, regressions and prior decisions, search `memory_search` with a narrow query and limit 5, then fetch the relevant exact IDs. Search before adding a duplicate. Distinguish recorded facts from proposals, and keep scope returned by the server. A graph is optional; only show one when it enforces the same identity and Space as retrieval. Save a concise durable learning with `memory_add` or update an existing memory only when it is useful beyond this conversation. State what was saved. Do not save speculative conclusions as facts. Save complete conversations only when the user requests it: use DeepChat's conversation export to Nowledge Mem, which uses the same verified connection as MCP. Do not claim an export happened without a successful acknowledgement. For configuration or failed access, direct the user to Plugins > Nowledge Mem. The host verifies REST and MCP and stores credentials securely. Report the failing connection and operation; do not switch to localhost after a remote error. Do not ask for keys in chat, invoke unscoped `nmem`, edit `~/.nowledge-mem/config.json`, read local Mem database files, or install another connector. This plugin uses DeepChat's HTTP client and does not require the CLI.