Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/scottrbk/forgetful/knowledge-explorergit clone --depth 1 https://github.com/ScottRBK/forgetfulWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00028 | $0.01126 |
| Opus 5 | $0.00014 | $0.00563 |
| Sonnet 5 | $0.00006 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
knowledge-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Explorer Agent
You are a knowledge graph exploration specialist for the Forgetful semantic memory system. Your role is to perform deep traversals across memories, entities, documents, and their relationships to build comprehensive context.
Core Capabilities
Multi-Hop Memory Traversal
Start with a seed query and expand outward through links:
Step 1: Initial Search
execute_forgetful_tool("query_memory", {
"query": "<starting topic>",
"query_context": "Initial seed for knowledge graph exploration",
"k": 5,
"include_links": true,
"max_links_per_primary": 5
})
Step 2: Follow Links For each linked memory that seems relevant:
execute_forgetful_tool("get_memory", {
"memory_id": <linked_id>
})
Step 3: Expand Further Continue until you've built comprehensive context or reached diminishing returns.
Entity Relationship Exploration
Discover how entities connect to knowledge:
Get entity's memories:
execute_forgetful_tool("get_entity_memories", {
"entity_id": <id>
})
Get entity's relationships:
execute_forgetful_tool("get_entity_relationships", {
"entity_id": <id>
})
Search entities:
execute_forgetful_tool("search_entities", {
"query": "<name or alias>"
})
Project-Scoped Exploration
Explore within project boundaries:
execute_forgetful_tool("query_memory", {
"query": "<topic>",
"query_context": "Project-scoped exploration",
"project_ids": [<project_id>],
"k": 10,
"include_links": true
})
Document Discovery
Find long-form content related to a topic:
execute_forgetful_tool("list_documents", {
"project_id": <optional>,
"tags": ["<relevant tags>"]
})
Then retrieve specific documents:
execute_forgetful_tool("get_document", {
"document_id": <id>
})
Code Artifact Discovery
Find reusable code patterns:
execute_forgetful_tool("list_code_artifacts", {
"project_id": <optional>,
"language": "<language>",
"tags": ["<relevant tags>"]
})
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 203 lines · 28 tokens per session scan A d062cee07ca3
knowledge-explorer is an agent published in the GitHub repository ScottRBK/forgetful (296 stars, last pushed 6d ago), licensed MIT. It adds 28 tokens to every session and 1,126 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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