haiku-skills-graphiti-memory 0.8.0

Knowledge graph memory skill for haiku.skills using Graphiti and FalkorDB

graphiti-memory

Knowledge graph memory skill for haiku.skills using Graphiti and FalkorDB.

Enables agents to remember facts across conversations, recall relevant context, and forget outdated information.

Prerequisites

FalkorDB

Run FalkorDB via Docker:

docker run -p 6379:6379 -p 3000:3000 \
  -v falkordb_data:/var/lib/falkordb/data \
  falkordb/falkordb:latest

• Port 6379 — Redis-compatible protocol (what the skill connects to)
• Port 3000 — Web UI for browsing the graph
• The volume mount ensures data persists across container restarts

Ollama models

The skill uses Ollama for LLM and embeddings by default. Pull the required models:

ollama pull gpt-oss
ollama pull qwen3-embedding:4b

Configuration

All configuration is via environment variables:

FalkorDB

Variable	Default	Description
FALKORDB_URI	falkor://localhost:6379	FalkorDB connection URI. Format: falkor://[user:password@]host:port[/database]

LLM

Variable	Default	Description
OLLAMA_BASE_URL	http://localhost:11434	Ollama server URL (shared with haiku.rag)
GRAPHITI_LLM_MODEL	gpt-oss	Model for entity extraction and edge resolution
GRAPHITI_SMALL_LLM_MODEL	Same as GRAPHITI_LLM_MODEL	Smaller model for lightweight LLM tasks

Embeddings

Variable	Default	Description
GRAPHITI_EMBEDDING_MODEL	qwen3-embedding:4b	Embedding model name
GRAPHITI_EMBEDDING_DIM	2560	Embedding vector dimensions (must match the model)

Multi-tenancy

Variable	Default	Description
GRAPHITI_GROUP_ID	default	Namespace for isolating memories between tenants/agents

Tools

• remember — Store facts, observations, and context into the knowledge graph
• recall — Search the knowledge graph for relevant memories
• forget — Remove outdated or incorrect memories

Installation

uv add haiku-skills-graphiti-memory