Memory Manager
A Claude skill from codejunkie99/agentic-stack.
Install
$ agentstack add skill-codejunkie99-agentic-stack-memory-manager ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-codejunkie99-agentic-stack-memory-manager) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Memory Manager — the skill that reads the filing cabinet
After every major task or failure, call tools/memory_reflect.py to log what happened. Before important decisions, read the top entries from memory/semantic/LESSONS.md and memory/semantic/DECISIONS.md.
When to trigger full consolidation
- On explicit
reflecttrigger from the user. - When the context window is getting full.
- When episodic memory exceeds ~500 entries.
Consolidation steps
- Load top-5 episodic entries by salience score.
- Detect recurring patterns across the last 100 entries.
- For patterns appearing ≥3 times, promote to
memory/semantic/LESSONS.md. - Flag any skill with ≥3 failures in 14 days for rewrite (see
on_failure.py). - Archive resolved working context to
memory/episodic/snapshots/. - Commit via git so history is preserved:
git log memory/is the agent's autobiography.
Searching memory by keyword
When you need to find a specific memory by topic or keyword (not just the top-salience entries), use the FTS5 search tool:
python3 .agent/memory/memory_search.py This indexes all .md and .jsonl files under .agent/memory/ and returns ranked results with context snippets. Falls back to grep if FTS5 is not available. The index auto-rebuilds when files change.
Anti-patterns
- Do not auto-merge
personal/intosemantic/— user preferences are not general knowledge. - Do not delete entries to "clean up" memory. Archive them.
- Do not promote lessons from a single incident. Require recurrence.
Self-rewrite hook
Every 10 reflections, or when the same type of mistake appears 3+ times recently, this skill's approach to salience or distillation needs adjustment. Propose conservative edits and log the diff in memory/semantic/DECISIONS.md.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: codejunkie99
- Source: codejunkie99/agentic-stack
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.