graphiti

Knowledge graph operations via Graphiti API. Search facts, add episodes, and extract entities/relationships.

533 stars

Best use case

graphiti is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Knowledge graph operations via Graphiti API. Search facts, add episodes, and extract entities/relationships.

Teams using graphiti should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/graphiti/SKILL.md --create-dirs "https://raw.githubusercontent.com/sundial-org/awesome-openclaw-skills/main/skills/graphiti/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/graphiti/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How graphiti Compares

Feature / AgentgraphitiStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Knowledge graph operations via Graphiti API. Search facts, add episodes, and extract entities/relationships.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Graphiti Knowledge Graph

Query and manage your knowledge graph using Graphiti's REST API with dynamic service discovery.

## Prerequisites

- Neo4j database (graph storage)
- Qdrant (vector search)
- Graphiti service running (default: http://localhost:8001)

## Tools

### graphiti_search
Search the knowledge graph for relevant facts.

**Usage:**
```bash
bash command:"
GRAPHITI_URL=\$({baseDir}/references/env-check.sh)
curl -s -X POST \"\$GRAPHITI_URL/facts/search\" \
  -H 'Content-Type: application/json' \
  -d '{\"query\": \"YOUR_QUERY\", \"max_facts\": 10}' | jq .
"
```

### graphiti_add
Add a new episode/memory to the knowledge graph.

**Usage:**
```bash
bash command:"
GRAPHITI_URL=\$({baseDir}/references/env-check.sh)
curl -s -X POST \"\$GRAPHITI_URL/messages\" \
  -H 'Content-Type: application/json' \
  -d '{\"name\": \"EPISODE_NAME\", \"content\": \"EPISODE_CONTENT\"}' | jq .
"
```

## Dynamic Configuration

The skill uses environment discovery to find Graphiti automatically:

1. **Clawdbot config**: `clawdbot config get skills.graphiti.baseUrl`
2. **Environment variable**: `$GRAPHITI_URL`
3. **Default fallback**: `http://localhost:8001`

To change the Graphiti URL:
```bash
export GRAPHITI_URL="http://10.0.0.10:8001"
# OR
clawdbot config set skills.graphiti.baseUrl "http://10.0.0.10:8001"
```

## Examples

Search for information:
```bash
bash command:"
GRAPHITI_URL=\$({baseDir}/references/env-check.sh)
curl -s -X POST \"\$GRAPHITI_URL/facts/search\" \
  -H 'Content-Type: application/json' \
  -d '{\"query\": \"Tell me about Essam Masoudy\", \"max_facts\": 5}'
"
```

Add a memory:
```bash
bash command:"
GRAPHITI_URL=\$({baseDir}/references/env-check.sh)
curl -s -X POST \"\$GRAPHITI_URL/messages\" \
  -H 'Content-Type: application/json' \
  -d '{\"name\": \"Project Update\", \"content\": \"Completed Phase 1 of Clawdbot integration\"}'
"
```

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