| name | check-integration |
| description | Check Nowledge Mem setup, detect your agent, and guide native connector setup. Use when the user asks about setup, configuration, or when memory tools aren't working as expected. |
Check Connector
Verify Nowledge Mem is running and guide the user to the best connector for their agent.
When to Use
- User asks about Nowledge Mem setup or configuration
- Memory tools are failing or not available
- User asks "is my memory working?" or "how do I set up Nowledge Mem?"
- First time using Nowledge Mem in this agent
- User asks about upgrading from skills to a native connector
Step 1: Check nmem CLI
nmem --json status
Use this rule before repairing anything:
- Same machine as Nowledge Mem Desktop: use the desktop app's bundled
nmem. Ask the user to open Nowledge Mem; if the command is still missing, use Settings → Preferences → Developer Tools → Install bundled CLI.
- Different machine: install the standalone PyPI package
nmem-cli on this machine, then point it at the user's Mem server. This covers remote servers, dev boxes, CI runners, hosted agents, and SSH machines. Python 3.11+ is required.
Do not install the PyPI CLI over the desktop-bundled CLI on the user's own desktop unless the user explicitly asks for a standalone CLI.
If the agent is not on the desktop machine and nmem is missing, install the PyPI CLI:
python3 -m pip install --user nmem-cli
nmem config client set url https://<their-mem-server>
nmem config client set api-key nmem_...
nmem --json status
If nmem exists but status fails, Nowledge Mem is not reachable from this machine. Guide the user:
Step 2: Detect Agent and Recommend The Best Path
For a fresh install, start from the universal connect skill:
Read https://mem.nowledge.co/SKILL.md and follow the instructions to install or update Nowledge Mem for the AI tool I am using.
Use this check-integration skill as the diagnostic fallback: confirm what was installed, explain what behavior the user should expect, and repair configuration when something failed.
Do not only answer "install X". Explain the behavior contract the user will get:
- what starts automatically
- what is only guided by skills/rules and still model-driven
- whether threads are captured automatically, saved explicitly, or only supported as handoff summaries
Use this priority order:
- Native connector first when the host has one
- Reusable package when the host supports shared skills/prompts but has no native connector
- Direct MCP only when there is no better package path
Fresh users care about outcome, not transport. Tell them what they will actually get after setup.
Autonomy levels
| Path | What usually happens | What it does not guarantee |
|---|
| Native connector | Strongest setup: session bootstrap is often automatic; some hosts also add auto-capture or hook-driven recall | Exact proactive recall/distill timing can still be host-specific |
| Reusable package | Working Memory, recall, and distill are guided by rules/skills | The host may still ignore the guidance unless prompts and project guidance are strong |
| Direct MCP | Tools are available; with the recommended prompt block, the agent can use them proactively | MCP alone does not create host-enforced autonomy |
Check which agent you're running in and recommend the native connector if available.
The canonical source for this table is community/integrations.json.
| Agent | How to Detect | Native connector setup | Docs |
|---|
| Claude Code | Running as Claude Code agent; ~/.claude/ exists | claude plugin marketplace add https://github.com/nowledge-co/community && claude plugin install nowledge-mem@nowledge-community | Guide |
| Grok | Running as Grok; ~/.grok/ exists | grok plugin install nowledge-co/community#nowledge-mem-claude-code-plugin --trust | Guide |
| OpenClaw | Running as OpenClaw agent; ~/.openclaw/ exists | openclaw plugins install clawhub:@nowledge/openclaw-nowledge-mem | Guide |
| Cursor | Running inside Cursor IDE | Copy nowledge-mem-cursor-plugin from the community repo into ~/.cursor/plugins/local/nowledge-mem-cursor, then reload Cursor | Guide |
| Gemini CLI | Running as Gemini CLI agent; ~/.gemini/ exists | gemini extensions install https://github.com/nowledge-co/nowledge-mem-gemini-cli --auto-update or install "Nowledge Mem" from the Extensions Gallery | Guide |
| Antigravity 2.0 | Running as Antigravity; ~/.gemini/antigravity/ exists | Use npx skills add nowledge-co/community/nowledge-mem-npx-skills; global skills should appear under ~/.gemini/config/skills, not the old ~/.gemini/antigravity/skills path. For conversation import, use the Antigravity Trajectory Extractor. | Import guide |
| Alma | Running inside Alma; ~/.config/alma/ exists | In Alma: Settings > Plugins > Marketplace, search "Nowledge Mem" | Guide |
| Droid | Running inside Droid (Factory) | Add nowledge-co/community marketplace, install nowledge-mem@nowledge-community | Guide |
| Codex | Running inside Codex desktop or Codex CLI; ~/.codex/ exists | codex plugin marketplace add nowledge-co/community --sparse .agents --sparse nowledge-mem-codex-plugin && codex plugin add nowledge-mem@nowledge-community, enable [features] plugins = true, hooks = true, plugin_hooks = true, and [plugins."nowledge-mem@nowledge-community"] enabled = true, then run the installed scripts/install_hooks.py once for automatic thread capture. Add mcp_servers.nowledge-mem only when overriding the bundled local MCP endpoint. The desktop app and CLI share the same ~/.codex config. | Guide |
| Bub | Running inside Bub | pip install nowledge-mem-bub | Guide |
| Pi | Running as Pi agent; ~/.pi/ exists | pi install npm:nowledge-mem-pi | Guide |
| OMP | Running as OMP agent; ~/.omp/ exists | omp plugin install nowledge-mem-omp | Guide |
| OpenCode | Running as OpenCode agent; ~/.config/opencode/ or .opencode/ exists | opencode plugin opencode-nowledge-mem -g; restart OpenCode so idle-event capture hooks load | Guide |
| Craft Agent | Running inside Craft Agent; ~/.craft-agent/ exists or CRAFT_CONFIG_DIR is set | nmem config mcp show --host craft-agent, then add the generated source config and guide to the active Craft workspace. Use nmem t sync --from craft-agent --all-projects --apply for real session import. | Guide |
| Hermes Agent | Running as Hermes agent; ~/.hermes/ exists | Install the native Hermes provider (or use MCP only as fallback) | Guide |
For Hermes updates, run the setup command from the guide and confirm it prints Thread import endpoint: /threads/import. If it prints an old endpoint or no endpoint, the user is likely launching Hermes with a different HERMES_HOME; set that explicitly and rerun setup before restart.
If the agent is not listed above:
- use the shared
npx skills package when the host supports it
- otherwise use direct MCP plus the recommended prompt block
Do not describe raw MCP as equivalent to a native connector.
Step 3: Verify
After setup, verify with:
nmem --json m search "test" -n 1
If this returns results (or an empty list with no error), the connector is working.
Then state the expected outcome in plain language:
- Working Memory: automatic, guided, or manual
- Recall: automatic, guided, or manual
- Distill: automatic, guided, or manual
- Threads: automatic capture, explicit save, handoff-only, or none
If the path is only guided, say what strengthens it:
- keep
nmem available locally
- restart the host after install
- merge the package
AGENTS.md or equivalent repo guidance when recommended
- configure the local
nmem client in remote mode
What Native Connectors Add
Skills give you CLI-based memory access. Native connectors usually add:
- Auto-recall: relevant memories injected before each response (no manual search needed)
- Auto-capture: conversations saved as searchable threads at session end
- LLM distillation: key decisions and insights extracted automatically
- Graph tools: explore connections, evolution chains, and entity relationships
- Working Memory: daily briefing loaded or injected at session start
- Slash commands:
/remember, /recall, /forget (where supported)
Do not promise all of these on every host. Match the actual path the user is setting up.
Links
