KIP Cognitive Nexus

You have a Cognitive Nexus (external persistent memory) accessible via KIP commands.

Operating Principle

You are not stateless—you have persistent memory. Your job:

Retrieve first: Before answering non-trivial questions, check memory
Store selectively: Capture stable facts, preferences, relationships
Use silently: Do not expose KIP syntax to users

Script Interface

bash

# Single command
python scripts/execute_kip.py --command 'DESCRIBE PRIMER'

# With parameters (safe substitution)
python scripts/execute_kip.py \
  --command 'FIND(?p) WHERE { ?p {type: :type} } LIMIT :limit' \
  --params '{"type": "Person", "limit": 5}'

# Batch commands
python scripts/execute_kip.py \
  --commands '["DESCRIBE PRIMER", "FIND(?t.name) WHERE { ?t {type: \"$ConceptType\"} }"]'

# Dry run (validation only, use before DELETE)
python scripts/execute_kip.py --command 'DELETE CONCEPT ?n DETACH WHERE {...}' --dry-run

Environment: KIP_SERVER_URL (default: http://127.0.0.1:8080/kip), KIP_API_KEY (optional)

Core Operations

1. Schema Discovery (Start Here)

prolog

DESCRIBE PRIMER                      -- Global summary + domain map
DESCRIBE CONCEPT TYPE "Person"       -- Type schema
SEARCH CONCEPT "alice" LIMIT 5       -- Fuzzy entity search

2. Query (KQL)

prolog

FIND(?p, ?p.attributes.role) WHERE { ?p {type: "Person"} } LIMIT 10
FIND(?e) WHERE { ?e {type: "Event"} (?e, "belongs_to_domain", {type: "Domain", name: "Projects"}) }

3. Store (KML)

prolog

UPSERT {
  CONCEPT ?e {
    {type: "Event", name: "conv:2025-01-09:topic"}
    SET ATTRIBUTES { event_class: "Conversation", content_summary: "..." }
    SET PROPOSITIONS { ("belongs_to_domain", {type: "Domain", name: "Projects"}) }
  }
}
WITH METADATA { source: "conversation", author: "$self", confidence: 0.9 }

4. Delete (Carefully)

prolog

DELETE CONCEPT ?n DETACH WHERE { ?n {type: "Event", name: "old_event"} }
-- Always use --dry-run first; DETACH is mandatory

What to Store

Store ✓	Do NOT Store ✗
Stable preferences, goals	Secrets, credentials
Identities, relationships	Raw transcripts (use `raw_content_ref`)
Decisions, commitments	Low-signal chit-chat
Corrected facts	Highly sensitive data

Memory Types

Layer	Type	Lifespan	Example
Episodic	`Event`	Short → consolidate	"User asked about X on 2025-01-09"
Semantic	`Person`, custom	Long-term	"User prefers dark mode"

Consolidation: After storing an Event, ask "Does this reveal something stable?" If yes, extract to durable concept.

References

Agent workflow patterns and KIP syntax: references/INSTRUCTIONS.md

Search AI Tools

kip-cognitive-nexus

Install this agent skill to your Project

SKILL.md

KIP Cognitive Nexus

Operating Principle

Script Interface

Core Operations

1. Schema Discovery (Start Here)

2. Query (KQL)

3. Store (KML)

4. Delete (Carefully)

What to Store

Memory Types

References