synaptic-memory

About synaptic-memory

Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.

ai-agent embedding graph-database hebbian-learning knowledge-graph llm mcp mcp-server memory multi-agent

Quick Facts

Stars	29
Forks	1
Language	Python
Category	MCP Server
Quality Score	30.75/100
Open Issues	5
Last Updated	2026-05-19
Created	2026-03-21
Platforms	mcp, python
Est. Tokens	~4919k

Compatible Skills

These tools work well together with synaptic-memory for enhanced workflows:

BRAD-Video — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
gptme-rag — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
Long-Trainer — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is synaptic-memory?

synaptic-memory is Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.. It is categorized as a MCP Server with 29 GitHub stars.

What programming language is synaptic-memory written in?

synaptic-memory is primarily written in Python. It covers topics such as ai-agent, embedding, graph-database.

How do I install or use synaptic-memory?

You can find installation instructions and usage details in the synaptic-memory GitHub repository at github.com/PlateerLab/synaptic-memory. The project has 29 stars and 1 forks, indicating an active community.

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