synaptic-memory
Active·★ 33·MIT·Updated 2026-07-03
Synaptic Memory is a knowledge graph and MCP tool server for LLM agents. It automatically ingests data from various formats into a structured graph, then provides 29 atomic tools for agents to explore. No LLM cost at indexing time.
#ai-agent#embedding#graph-database#hebbian-learning#knowledge-graph#llm#mcp#mcp-server
01
Features
01Auto-detects file format and generates domain profile
02Ingests text and structured data into knowledge graph
0329 atomic MCP tools for LLM agents
04Zero LLM cost at indexing
05Hybrid retrieval with BM25 + vector + graph reranking
02
Compatibility
SQLite
Native FTS5 + HNSW
Verified via docs
PostgreSQL
pgvector
Verified via docs
Kuzu
Embedded Cypher
Verified via docs
Memory
In-memory testing
Verified via docs
03
Quick start
1
$ pip install synaptic-memory
04
Use cases
↳Searching and reasoning over unstructured text corpora
↳Cross-document question answering
↳Absence proofs and paraphrased queries
05
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cuba-memorys★ 30
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Shared memory bus for MCP-compatible agents with permissions, subscriptions, and optional payments.
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