computer-use
Drive native desktop apps through DeepChat's built-in Computer Use tools. Use when the user asks to operate, inspect, automate,…
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Skill
/nowledge-mem
Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.
Claude Code
$ npx -y skills add ThinkInAIXYZ/deepchat --skill nowledge-mem --agent claude-code
Codex
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a codex -y
Cursor
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a cursor -y
Gemini CLI
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a gemini-cli -y
GitHub Copilot
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a github-copilot -y
OpenCode
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a opencode -y
Windsurf
$ npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem -a windsurf -y
SKILL.md
nowledge-mem.SKILL.mdname: nowledge-mem
description: Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.
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.
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name: nowledge-mem description: Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.
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.
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@titanwingsInstall SkillQuestions about nowledge-mem.
- Which coding agents can use nowledge-mem?
- nowledge-mem installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.