AWolf81/memorylane
skills/memorylane/SKILL.md
Persistent memory and context compression for Claude Code. Use when setting up or operating MemoryLane in a project, recalling or storing memories, reviewing insights, curating low-quality memories, or checking cost/token savings and automatic context injection.
development
Updated Apr 21, 2026
$ install --global
skillsauthnpx skillsauth add AWolf81/memory-lane memorylaneInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 21, 2026, 5:38 PM213.2s1 file scanned
SKILL.md
- name:
- memorylane
- description:
- Persistent memory and context compression for Claude Code. Use when setting up or operating MemoryLane in a project, recalling or storing memories, reviewing insights, curating low-quality memories, or checking cost/token savings and automatic context injection.
MemoryLane
Setup
Run bash install.sh from the repo root to initialize .memorylane/ and make the CLI executable.
Ensure .claude/settings.json points at .claude/hooks/*.py so automatic context injection and learning run.
Verify the install with:
python3 src/cli.py status
Core commands
Check status and savings:
python3 src/cli.py status
Recall memories:
python3 src/cli.py recall "<query>"
View insights and costs:
python3 src/cli.py insights
python3 src/cli.py costs
Learn from history:
python3 src/learner.py initial
Memory management
List and curate memories:
python3 src/cli.py curate --list
python3 src/cli.py curate --apply '<JSON>'
Manage an individual memory:
python3 src/cli.py memory get <id>
python3 src/cli.py memory update <id> --content "New content"
python3 src/cli.py memory delete <id>
Server
Start or stop the sidecar:
python3 src/server.py start
python3 src/server.py status
python3 src/server.py stop
Notes
Do not edit .memorylane/memories.json directly; use the CLI.
Context rot guard: injected context is capped to a safe fraction of the model window via context_rot.* config keys.
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