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rafiksalama/segnog

By rafiksalama

•Updated 4 months ago

Entity-centric memory service with ontology, causal beliefs, and 3D ranked context for AI agents

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Machine learning & AI
Data science
Databases & storage
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rafiksalama/segnog repository overview

⁠Segnog — Agent Memory Service

https://github.com/rafiksalama/Segnog.git⁠

Entity-centric ontology memory service with causal belief network for AI agents.

⁠Features

  • 3D Ranked Context — observe returns entries ranked by semantic + temporal + Hebbian composite score
  • Entity Ontology — auto-extracted Schema.org entities with embedding-based class retrieval (680 classes)
  • Causal Belief Network — causal assertions with evidence-weighted confidence and belief revision
  • Knowledge Extraction — per-episode knowledge extraction with deduplication
  • Metacognition — reflection with reasoning quality analysis
  • REST + gRPC — dual API with OpenAPI documentation

⁠Quick Start

docker run -d \
  -p 9000:9000 \
  -e MEMORY_SERVICE_EMBEDDINGS__API_KEY=<your-key> \
  -e MEMORY_SERVICE_LLM__API_KEY=<your-key> \
  rafiksalama/segnog:latest

Tag summary

Content type

Image

Digest

sha256:e3b9344db…

Size

579.5 MB

Last updated

4 months ago

docker pull rafiksalama/segnog