Good fit if
- Teams running agents with persistent memory
- Operators who need a defensible written memory policy
- Reviewer agents auditing memory stores
Infrastructure & Governance
# 3 of 27 · launch sequence
Agent Memory Governance Kit
Gives any persistent agent a governed memory layer: executable policies for what to store, what never to store, how long to keep it, and how to audit and prune it, with human review gates at every destructive step.
v1.0.0-rc1
Medium risk
15-min quick start
Select a one-time tier below
View agent record
Built for: agent-platform-engineers · agent-ops-leads · ai-agent-operators · operator-and-orchestrator-agents ·
agent://products.json
200 OK
{
"id": "agent-memory-governance-kit",
"version": "1.0.0-rc1",
"price_usd": { "lite":29, "std":79, "prem":129 },
"risk_level": "medium",
"reversible": true,
"checkout": { "enabled": true },
"purchasable": true
}
See how it fits your agent stack
Agent / Operator
requests an action
Agent Memory Governance Kit
MCM-4 method
Memory-Policies/
Retention-Schedules/
Memory-Audits/
Governed state
audited & reversible
Human approval gate
Preview-before-apply
Rollback path
Discover
read the record
Evaluate
Medium risk · 6 systems
Install
new Memory-Policies/
Preview
diff before apply
Approve
human gate
Audit & rollback
MHS-100 audit
Non-destructive by rule — new-folder install, never overwrite, human-approval gates for risky steps, rollback included.
agent-memory-governance-kit/
Memory-Policies/
Retention-Schedules/
Memory-Audits/
README.md
AGENT-INSTRUCTIONS.md
Integration/ROLLBACK-GUIDE.md
Format & setup
FormatMarkdown + JSON file kit (plain text, tool-agnostic)
Skill levelIntermediate; beginner-usable via quick start
Quick start15 min
Full setup120 min
MCM-4 method, 5-class classification model, binding never-store list, retention schedules, forgetting/suppression rules, MHS-100 anchored scorecard, 4 JSON schemas + 2 reference instances, handoff + deletion-request templates, 2 worked examples, 16-doc integration pack, 5 upgrade modules, 10-doc differentiation folder
# Non-destructive lifecycle — nothing runs without preview + approval
$ agent read ./agent-memory-governance-kit/manifest.json # metadata, risk, compatibility
$ agent install --new-folder ./agent-memory-governance-kit # never overwrites existing files
$ agent apply --preview # preview-before-apply diff
$ agent verify ./agent-memory-governance-kit --scorecard MHS-100 # Memory-Policies contracts
⚠ gated steps require named human approval before execution
$ agent rollback ./agent-memory-governance-kit # Delete the install folder (complete remo
✓ folder removed — nothing else touched
{
"required_permissions": ["write access to one new buyer-chosen folder"],
"integration_modes": ["standalone", "drop-in-upgrade", "advanced-integration", ],
"compatible_systems": [
"Claude (Projects, Skills, Claude Code)",
"ChatGPT (Custom GPTs, Projects)",
"any LLM chat assistant",
"MCP memory servers",
],
"license_type": "single-operator",
"checkout": { "enabled": true, "status": "polar_active" }
}
The problem it solves
Unbounded, unaudited agent memory: stale facts recalled as true, sensitive data retained indefinitely, memory drift, no deletion or review discipline.
Use cases
bring an unaudited memory store under a signed policy
pre-write gating of new memories
monthly hygiene reviews with comparable scores
deletion-request handling with auditable records
sensitive-memory escalation
governed memory handoff between agents
Safety & permissions
Non-destructive by rule
Plain-text kit; executes nothing and deletes nothing itself. Every destructive step requires itemized human approval. Binding never-store list covers credentials, keys, seed phrases, and sensitive identifiers. Not legal advice.
Required
write access to one new buyer-chosen folder
Rollback
Delete the install folder (complete removal). Deeper integrations: Integrations/ROLLBACK-GUIDE.md.
For an evaluating agent
File kit giving persistent agents a governed memory layer: 5-class classification, binding never-store list, retention schedules, MHS-100 anchored audits, append-only audit log schema, human-approved destruction. Non-destructive install, delete-folder rollback, no credentials. Production: live and purchasable through verified Polar checkout; verified Polar checkout is active on this page.
Buyer decision
Is Agent Memory Governance Kit right for me?
Problem addressed: Unbounded, unaudited agent memory: stale facts recalled as true, sensitive data retained indefinitely, memory drift, no deletion or review discipline.
Probably not a fit if
- Buyers expecting software that deletes memories automatically
- Agents with no persistence layer
- Anyone seeking legal compliance certification
Included
Memory-Policies/, Retention-Schedules/, Memory-Audits/ folders with the MCM-4 method and MHS-100 scorecard plus the standard architecture.
Not included
- No software, app, executable, or code that runs by itself
- No hosted service, account, login, or cloud dashboard
- No live integrations: Zapier/Make items are written blueprint descriptions, not built Zaps or scenarios
- No API access, API keys, credentials, or third-party subscriptions
| Tier | Price | Canonical depth | License |
|---|---|---|---|
| Standard | $79 USD | Full product: all templates, harnesses, SOPs, integration pack, and samples. | Single-Operator |
| Premium | $129 USD | Standard plus all 5 upgrade modules (Basic, Pro, Agent, Automation, Safety) and priority support. | Single-Operator |
Bundle membership
Compatibility and limits
Policies govern; your platform executes - retention/deletion is applied by your stack Not legal advice and not a compliance certification
Three one-time tiers — verified Polar checkout active
Lite
$29
Core templates & quick-start path. Best for testing the system manually first.
Buy Lite — one-timeStandardpopular
$79
Full product: all templates, harnesses, SOPs, integration pack, and samples.
Buy Standard — one-timePremium
$129
Standard plus all 5 upgrade modules (Basic, Pro, Agent, Automation, Safety) and priority support.
Buy Premium — one-timeEach tier uses its verified Polar checkout. See full pricing and bundles.
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Decision guides involving this product
- Agent Memory Governance vs Context EngineeringChoose between persistent-memory policy and active context-window management for long-running AI agents.
- Which SignalHarness Bundle Fits My Use Case?Compare the nine canonical bundles by buyer profile, workflow coverage, included products, and when individual products are a better fit.
Related categories
- AI Agent Safety & GovernancePractical policy, evidence, permission, and defensive systems for reviewing how agents act and where they must stop.
- Prompt & Context EngineeringMethods for reliable prompts, context budgets, governed memory, workflow specifications, and evidence-based output review.
Available in canonical bundles
These bundle memberships come directly from the canonical bundle catalog. Compare the exact contents before purchase.