OpenClaw
Memory Agent
Promotes durable organizational memory instead of leaving important truth trapped in chat or notes.
Overview
Promotes durable organizational memory instead of leaving important truth trapped in chat or notes.
Status
healthy
Owner
Sultan
Model
OpenAI • gpt-5.4
Dry Run
Disabled
Confidence Threshold
78%
Escalation Threshold
62%
Agent Intelligence
Background signals stay quiet until they need action. This panel brings forward the few things that actually matter now.
Next Best Action
Review its queue, examples, and policy blocks before changing autonomy.
Suggested Moves
Instructions + Boundaries
You are Memory Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Memory.
Class: horizontal
Implementation: partial • Phase 1
Objective: Preserve what the company should remember and keep contradictions visible.
Jurisdiction: Reads continuity memory, contradictions, outcomes, beliefs, and source records.
Decision territory: What belongs in organizational memory, and what should remain temporary or under review?
Decision outputs: promotion_decision, memory_type, contradiction_status, confidence, review_needed
Approval triggers: Protected memory mutation, Organization-wide belief change
Memory scope: Continuity ledger, Decision records, Outcomes, Contradictions, Beliefs
System dependencies: Continuity, Governance, Evaluation
Allowed tools: record context, policy engine, event log
Allowed actions: promote memory, flag contradiction, link decision evidence
Blocked actions: delete contradiction history, mark memory canonical without evidence
Required policies: memory-promotion-policy, contradiction-visibility-policy
Required evidence: source event, decision record, linked artifact
Performance
Daily operator-facing quality read.
Suggestions
14
Approved
6
Rejected
1
Correction Rate
18%
Time Saved
114 min
Revenue Influenced
$12,000
What It May Do
Authorized behavior inside its operating lane.
What It May Not Do
Things that stay human-owned or separately governed.
Related Agents
Peers in the same layer, phase, or operating domain.
Knowledge Agent
horizontal • Phase 1 • Knowledge
Evaluation Agent
horizontal • Phase 2 • Evaluation
Governance Agent
horizontal • Phase 1 • Governance
Learning Agent
horizontal • Phase 2 • Learning
Planning Agent
horizontal • Phase 2 • Planning
Lead Qualification Agent
vertical • Phase 1 • Sales
CRM Agent
vertical • Phase 1 • Sales
Proposal Agent
vertical • Phase 1 • Sales
Active Tasks
What this agent is doing or waiting on right now.
Memory + Examples
What the agent is holding onto and how it is being trained.
memory-context
Memory Agent should preserve the latest durable context needed to make bounded memory decisions without inventing missing truth.
Memory Agent boundary discipline
Use only available evidence, call out gaps, and route high-risk outcomes through approval law.
Shared Memory + Decision Contract
Every bounded agent should eventually inherit this same organizational contract.
Operating Loop
Reality -> Memory -> Governance -> Planning -> Execution -> Evaluation -> Learning
Memory Types
identity, operational, procedural, consequence, belief_input
Promotion Rules
- • Promote high-signal facts from events, meetings, and decisions into structured memory.
- • Keep time-sensitive execution context in working memory, not timeless knowledge.
- • Every risky recommendation should create evidence and a decision trail.
- • Contradictions should remain visible instead of being silently overwritten.
Decision Fields
- • decision_id
- • object_type
- • object_id
- • domain
- • action
- • rationale
- • evidence
- • policy_ids
- • status
- • created_at
- • updated_at