vectorize-io/hindsight
by vectorize-io
Hindsight: Agent Memory That Learns
📊 Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →
ℹ️ Details
Category
🧠 Memory & KnowledgeEcosystem
MCP ServerLanguage
Python
Pricing
Free
License
MIT
Status
Active
Platforms
📈 GitHub Signals
20.1K
Stars
1.4K
Forks
0
Commits (30d)
134
Open Issues
Last commit: Yesterday
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🏅 Show your score
Scored 88/100 for security, utility and maintenance. Add the badge to your README or site to show it, verified by an independent directory.
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