Open-source causal graph memory for AI agents. 89.9% on LoCoMo. MCP server with ACT-R scoring, spreading activation, and active forgetting.
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Updated
Jul 19, 2026 - Python
Open-source causal graph memory for AI agents. 89.9% on LoCoMo. MCP server with ACT-R scoring, spreading activation, and active forgetting.
This is an official repository for "Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery".
EMNLP'22, CEM improves MHCH performance by correcting prediction bias and training an auxiliary cost simulator based on user state and labor cost causal graph, without requiring complex model crafting.
Local-first long-term memory for AI coding tools — causal graphs, hybrid BM25+vector search, 2.46x context augmentation
Embodied intelligence memory for physical AI robots. Built on PowerMem + SeekDB. Zero ROS dependency. Brain-like architecture with spatial-temporal-causal graphs, DTW trajectory search, and gRPC.
A graph-based failure modeling and deterministic detection system for LLM agent runtimes.
Machine-readable protocol for immutable, causally linked decision records with validator-backed integrity.
An application of causal inference methods to optimizing the location of delivery drivers.
🌕 Append-only event DAG prototypes with RECENT_A trace-closure frontier + conflict-pair bound signals. ➢ core.rec.ooo
Editable, auditable, branchable AI reasoning as a causal graph
Project Memory — organizational, causal memory for AI teams. Ask why, not just what.
S.A.G.A. — Story Analysis, Generation, and Archives. Canon-aware narrative intelligence for analysis, retrieval, timelines, and story generation.
Causa Proxima
Consumer endpoint monitor for Windows: logs every outbound connection, reconstructs the causal chain that caused it, explains it in plain English. Local-only, no kernel driver, no automatic response.
Trace what an agent's actions depended on, and what becomes affected when those dependencies fail.
Implémentation d’un système d’IA Explicable (XAI) basé sur les explications contrastives bi-factuelles, avec optimisations algorithmiques et interface graphique CausaLytics.
A navigable causal map of the forces shaping working-class life.
Graph-first desktop workbench for debugging multi-agent runs — understand any execution in 30 seconds
Graph-based timeline engine for causal event simulation and world-state replay
Industry - Casualty Challenge
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