sachitrafa/YourMemory
by Various
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
MCP
sachitrafa/YourMemory
Added 1 June 2026
Overview
YourMemory is a Python library that implements agentic AI memory using Ebbinghaus forgetting curve decay to model how memories fade over time. It reports a 16 percentage point improvement in recall over Mem0 on the LoCoMo benchmark.
Best for
Best for
Developers building AI agents with persistent, time-decaying memory
Use cases
- Implementing long-term memory for AI agents
- Improving recall in conversational AI systems
- Creating context-aware agents with time-decaying memory
Notes
YourMemory is a Python library that implements agentic AI memory using Ebbinghaus forgetting curve decay to model how memories fade over time. It reports a 16 percentage point improvement in recall over Mem0 on the LoCoMo benchmark.
232 stars on GitHub. Last updated 2026-05-30.
Use cases
- Implementing long-term memory for AI agents
- Improving recall in conversational AI systems
- Creating context-aware agents with time-decaying memory
Pros
- Achieves +16pp recall over Mem0 on LoCoMo
- Uses Ebbinghaus forgetting curve for realistic memory decay
- Open-source Python library with 232 GitHub stars
Cons
- Benchmark limited to LoCoMo dataset
- Requires additional integration work for production systems
- Small community compared to Mem0
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Achieves +16pp recall over Mem0 on LoCoMo
- Uses Ebbinghaus forgetting curve for realistic memory decay
- Open-source Python library with 232 GitHub stars
Cons
- Benchmark limited to LoCoMo dataset
- Requires additional integration work for production systems
- Small community compared to Mem0
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