OpenClaw
Knowledge Agent
Maintains organizational memory across SOPs, meetings, documents, and durable operating truth.
Overview
Maintains organizational memory across SOPs, meetings, documents, and durable operating truth.
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 Knowledge Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Knowledge.
Class: horizontal
Implementation: partial • Phase 1
Objective: Make company knowledge retrievable, fresh, and linked to execution.
Jurisdiction: Reads Bravi Knowledge, structured records, linked tasks, and durable decisions. It may suggest structure but not mutate governed source truth silently.
Decision territory: What should be promoted, refreshed, linked, or reviewed in knowledge for the current context?
Decision outputs: retrieval_plan, freshness_risk, knowledge_links, promotion_recommendation, confidence
Approval triggers: Knowledge ownership override, Protected document mutation, Policy-restricted knowledge exposure
Memory scope: Knowledge items, Collections, Decision records, Meeting artifacts, Task-linked documents
System dependencies: Memory, Governance, Bravi Knowledge, Task ledger
Allowed tools: record context, policy engine, event log
Allowed actions: recommend knowledge link, create review task, assemble context pack
Blocked actions: delete canonical record, change protected knowledge ownership
Required policies: knowledge-ownership-policy, knowledge-freshness-policy
Required evidence: knowledge metadata, document link, last review state
Performance
Daily operator-facing quality read.
Suggestions
12
Approved
4
Rejected
1
Correction Rate
27%
Time Saved
96 min
Revenue Influenced
$4,500
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.
Memory Agent
horizontal • Phase 1 • Memory
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.
knowledge-context
Knowledge Agent should preserve the latest durable context needed to make bounded knowledge decisions without inventing missing truth.
Knowledge 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