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Add persistent graph-based memory to NanoClaw agents using mnemon. Agents recall context before responding and remember insights after. Each group gets isolated memory with optional global shared store.
Passed 17 of 23 test cases with the skill, and 3 of 23 without it.
and 24 more in the full report
15 fixed2 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
After editing Dockerfile and TypeScript runner files for agent memory integration, what repository shell script must be executed to rebuild the container image?
| Checked | Without skill | With skill |
|---|---|---|
| Executes script ./container/build.sh | Missed | Passed |
The instructions your model reads when the skill loads.
Add mnemon persistent memory to your NanoClaw installation. After running this skill, every agent session will have access to a per-group memory graph that persists across conversations.
Host Container
~/.mnemon/data/{group}/ ──rw──→ /home/node/.mnemon/data/default/ (private)
~/.mnemon/data/global/ ──ro──→ /home/node/.mnemon/data/global/ (shared)
Each group gets its own isolated mnemon store. An optional global store provides shared read-only knowledge across all groups.
Verify mnemon is installed on the host:
mnemon --version
If not installed:
brew install mnemon-dev/tap/mnemongo install github.com/mnemon-dev/mnemon@latestVerify the container image exists:
docker image inspect nanoclaw-agent:latest >/dev/null 2>&1 && echo "OK"
Fetch the latest mnemon version for the Dockerfile:
curl -s https://api.github.com/repos/mnemon-dev/mnemon/releases/latest | grep -o '"tag_name": "v[^"]*"' | cut -d'"' -f4 | sed 's/^v//'
test cases passed, vs 3 / 23 without
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