Context Graphs for Proactive Enterprise Agents
Researchers propose Context Graphs to enable proactive enterprise agents that surface actionable information before users ask, achieving Precision@5 of 0.83 and reducing mean time to surface from 47 m…
Researchers propose Context Graphs to enable proactive enterprise agents that surface actionable information before users ask, achieving Precision@5 of 0.83 and reducing mean time to surface from 47 m…
Trelix evolved from v1.0 to v2.7 in thirteen days, fixing a critical config bug and adding a knowledge graph, seven retrieval legs, agentic loops, federated multi-repo search, and a GitHub Actions bot…
Safi Shamsi released Graphify, an open-source skill that builds queryable knowledge graphs from multi-modal codebases for AI coding assistants like Claude Code and OpenAI Codex. The tool combines Tree…
A new open-source tool, swarm-test, lets developers find failures in multi-agent AI systems before production by analyzing agent topology statically, without live LLM calls. It detects cascade failure…
A tutorial demonstrates building a fully offline Graphify pipeline to convert a multi-module Python application into a knowledge graph, using tree-sitter for extraction and NetworkX for analysis inclu…
An 18-year-old developer from Slovakia built a neuron-like memory system for AI that mimics human memory processes. The architecture includes five tiers, standby neuron agents that activate only when …
A developer built a 14-agent document processing system using CrewAI that failed constantly in production despite each agent working perfectly in isolation, revealing that no existing testing tools co…
Mallikarjun G D and Daniele Caldarigi published Jenkins blog posts on May 26, 2026, detailing two GSoC 2026 projects extending the Jenkins ecosystem with AI chatbot plugins. G D's plugin adds an LLM-a…