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knowledge-graph
9 postsEngrava: A Deterministic Memory Library for AI Agents Built on SQLite
Engrava is an MIT-licensed Python library storing agent memory as a typed graph in SQLite, with deterministic consolidation instead of LLM rewrites.
Benchmarking a Markdown Knowledge Graph as AI Agent Memory
IWE tested markdown knowledge graphs as AI agent memory using the LOCOMO benchmark, reaching 96% of a hand-built ceiling with a cheap curator model.
Anatomy of a Full Self-Hosted RAG Stack, End to End
A self-hosted RAG pipeline in full: Docling parsing, dual dense/sparse indexing, RRF hybrid search, knowledge graphs, token budgeting, and parallel ingestion.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comtrelix v1.0 to v2.7: From Simple Search to a Platform
trelix's evolution from v1.0 to v2.7 covers a knowledge graph, seven retrieval legs, an agentic loop, and production hardening that turned it into a platform.
Knowledge and Memory Management: First Three Directions Finalized
Knowledge-and-Memory-Management locks in its memory store, graph adapter, and persistence contracts—API stays backward-compatible while internals are rewritten.
Cruxible: An Open-Source Governed Truth Layer for AI Agents
Cruxible replaces unreliable text-based memory for AI agents with a deterministic, auditable state layer. Open-source, Apache-2.0 licensed, built with Python and SQLite.
Maintaining Match Confidence on the Graph Edge: The Cost of Discarding Splink Scores
Discarding match probabilities impacts the accuracy of knowledge graphs. Retaining them as edge properties improves system reliability.
Airbnb's Strategy for Scaling its Identity Graph
Airbnb transitioned to a new knowledge graph platform to scale its identity graph infrastructure, enhancing its safety applications.
Managing an Organizational Knowledge Graph with LLM and Event Sourcing
Arkency shares its process of building an organizational knowledge graph using LLM and event sourcing.