add-mnemon skill
Add persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn.
Is the add-mnemon skill safe?
Clean: nothing in its files matched our rules. We read 4 files in the folder on 2026-09-28.
No findings.
Install the add-mnemon skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/nanocoai/nanoclaw.git /tmp/nanoclaw mkdir -p ~/.claude/skills cp -r /tmp/nanoclaw/.claude/skills/add-mnemon ~/.claude/skills/add-mnemon
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Add Mnemon — Persistent Memory
Installs mnemon in the agent container image. On each container start, mnemon setup registers Claude Code hooks that surface relevant memory before the agent responds and store new insights after each turn. Memory is written to the per-agent-group .claude/ mount and survives container restarts.
Provider Compatibility
mnemon hooks fire only under --target claude-code. Use this skill on agent groups that run the default Claude provider. The provider is the materialized provider key in each group's container.json (absent or claude = default Claude provider). Confirm it before applying:
grep -H '"provider"' groups/*/container.json 2>/dev/null # no match, or "provider": "claude" = ClaudeIf a group sets a different provider (e.g. "provider": "opencode"), it spawns its own process and never invokes the claude CLI, so the hooks registered by mnemon setup do not run for that group.
Phase 1: Pre-flight
Check if already applied
grep -q 'MNEMON_VERSION' container/Dockerfile && echo "Already applied" || echo "Not applied"If already applied, re-run Phase 2 anyway — every step is idempotent and skips work that is already in place — then continue to Phase 3 (Verify).
Check latest mnemon version
curl -fsSL https://api.github.com/repos/mnemon-dev/mnemon/releases/latest | grep '"tag_name"'Note the version (e.g. v0.1.1) — use it as MNEMON_VERSION in the next step.
Phase 2: Apply Changes
1. Dockerfile — install mnemon binary
Insert the mnemon block immediately above the # ---- Bun runtime section of container/Dockerfile (skip if grep -q 'MNEMON_VERSION' container/Dockerfile already matches):
# ---- mnemon — persistent agent memory ----------------------------------------
ARG MNEMON_VERSION=0.1.1
RUN ARCH=$(dpkg --print-architecture) && \
curl -fsSL "https://github.com/mnemon-dev/mnemon/releases/download/v${MNEMON_VERSION}/mnemon_${MNEMON_VERSION}_linux_${ARCH}.tar.gz" \
| tar -xz -C /usr/local/bin mnemon && \
chmod +x /usr/local/bin/mnemon
ENV MNEMON_DATA_DIR=/home/node/.claude/mnemonMNEMONDATADIR points into the per-agent-group .claude/ mount, so memory persists across container restarts.
2. Entrypoint — run mnemon setup on each container start
mnemon setup is idempotent. Run it once per container/entrypoint.sh. First check whether the line is already present:
grep -q 'mnemon setup' container/entrypoint.sh && echo "Already wired" || echo "Wire it"If it prints Wire it, add the setup call right after set -e, before the cat that captures stdin, so the result looks like:
#!/bin/bash
# NanoClaw agent container entrypoint.
#
# ...existing header comment...
set -e
mnemon setup --target claude-code --yes --global >/dev/stderr 2>&1
cat > /tmp/input.json
exec bun run /app/src/index.ts < /tmp/input.json>/dev/stderr 2>&1 routes all mnemon output to stderr (docker logs) so it doesn't interfere with the JSON stdin handshake between host and agent-runner.
3. Copy the integration tests
Both reach-ins are into container build/runtime files that aren't importable or typed (a GitHub-release binary in the Dockerfile, a shell line in the entrypoint), so structural tests guard them. Copy them into the host test tree:
cp .claude/skills/add-mnemon/mnemon-dockerfile.test.ts src/mnemon-dockerfile.test.ts
cp .claude/skills/add-mnemon/mnemon-entrypoint.test.ts src/mnemon-entrypoint.test.ts
pnpm exec vitest run src/mnemon-dockerfile.test.ts src/mnemon-entrypoint.test.tsmnemon-dockerfile.test.ts asserts the MNEMONVERSION ARG and MNEMONDATA_DIR ENV are present (red if the install layer is dropped on an upgrade). mnemon-entrypoint.test.ts asserts the entrypoint invokes mnemon setup --target claude-code (red if the wiring is removed).
4. Rebuild and smoke-test the image
./container/build.sh
docker run --rm --entrypoint mnemon nanoclaw-agent:latest --versionPhase 3: Restart and Verify
Restart the service
Run from your NanoClaw project root:
source setup/lib/install-slug.sh
systemctl --user restart $(systemd_unit) # Linux
# launchctl kickstart -k gui/$(id -u)/$(launchd_label) # macOSConfirm mnemon hooks are registered
After the next container starts, check that setup ran:
docker logs $(docker ps --filter label=nanoclaw-session --format "{{.Names}}" | head -1) 2>&1 | grep -i mnemonThen inspect the hooks inside the running container:
docker exec $(docker ps --filter label=nanoclaw-session --format "{{.Names}}" | head -1) \
cat /home/node/.claude/settings.json | grep -A5 mnemonTest memory recall
Have a conversation with the agent, then start a new session and reference something from the earlier one. Mnemon should surface the relevant context automatically without you restating it.
Memory Storage
Mnemon writes to /home/node/.claude/mnemon/ inside the container, which maps to the per-agent-group .claude/ directory on the host. To find the exact host path:
docker inspect $(docker ps --filter label=nanoclaw-session --format "{{.Names}}" | head -1) \
--format '{{range .Mounts}}{{if eq .Destination "/home/node/.claude"}}{{.Source}}{{end}}{{end}}'To reset all memory for an agent, stop the container and delete the mnemon/ subdirectory from that host path.
Troubleshooting
mnemon: command not found in container
The image wasn't rebuilt after adding the Dockerfile layer. Run ./container/build.sh and restart.
Memory not persisting across restarts
Verify MNEMONDATADIR resolves to a mounted path (not an in-container ephemeral directory):
docker exec <container> sh -c 'ls -la $MNEMON_DATA_DIR'If the directory is empty after conversations, the mount is missing or the path is wrong. Check the host mount with the docker inspect command above.
Agent not using past memory
mnemon setup writes hooks into /home/node/.claude/settings.json. Verify:
docker exec <container> cat /home/node/.claude/settings.jsonIf the hooks are absent, mnemon setup may have failed silently. Check container startup logs for errors from mnemon.
Setup fails at container start
Run setup manually inside a running container to see the full error:
docker exec -it <container> mnemon setup --target claude-code --yes --globalMore skills from nanocoai/nanoclaw
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