NirDiamant/Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
1.1k
Stars
141
Forks
54.3
Radar Score
Rising
Momentum
Scoring Breakdown
Impact62.4
Velocity44.1
Health55.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
Why it ranks
Steady growth — consistently collecting stars and contributors.
LLM FrameworksTop 33% globally
Popular Alternatives & Competitors
Top projects in the same category (LLM Frameworks) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
78%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
54.3
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 1,127 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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