The Problem
An open-source 'super memory' for agents was posted — but most memory systems go stale. Facts change; memory does not update.
The Scavio Solution
Search-grounded memory: daily cron refreshes stale wiki entries via Scavio search. Git-tracked changes provide full diff history. Transparency scores indicate freshness.
Before
Agent memory stores facts once. Facts go stale. Agent hallucinates outdated information with high confidence.
After
Daily search refresh keeps memory current. Git diffs show what changed and when. Transparency scores flag stale entries.
Who It Is For
Agent builders, RAG system maintainers, knowledge base managers, multi-agent system architects.
Key Benefits
- Daily search refresh prevents stale memory
- Git-tracked changes for audit trail
- Transparency scores (high/medium/stale)
- Multi-source grounding (Google + Reddit)
- Budget: ~$0.25/day for 50 entries
Python Example
Python
import requests, os, datetime
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def refresh_memory(topic, current_content):
fresh = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{topic} current 2026'}).json()
# LLM compares current vs fresh, updates if changed
# Git commit the diffJavaScript Example
JavaScript
// Same refresh pattern in JS/TSPlatforms Used
Web search with knowledge graph, PAA, and AI overviews