Devgraph

Devgraph

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Devgraph connects and models your development tools into a searchable, machine-readable knowledge graph to provide contextualized insights for engineering teams and AI assistants. It ingests data from sources such as GitHub, Jira, Slack, CI/CD systems, and other developer platforms to create an ontology of projects, code, issues, and people, enabling unified queries and automated actions across the software lifecycle.

Key features include continuous tool integrations that sync repositories, tickets, discussions, and pipeline metadata into a single graph; semantic search and contextual retrieval that surface relevant code, issues, and conversations; and an extensible ontology that maps entities (repositories, commits, issues, releases, teams) and their relationships for consistent context across tools. The platform also exposes the graph for use by AI workflows and automation—allowing prompts, agents, or scripts to make decisions grounded in your actual development data—and supports role-aware access to preserve data boundaries.

Benefits focus on improved developer productivity and more reliable AI assistance by reducing context switching, accelerating root-cause discovery, and enabling more accurate, data-grounded responses from automation. Devgraph’s unified model helps teams trace dependencies, locate related work items and code, and keep contextual history accessible to both humans and AI systems.

The description emphasizes practical capabilities and integration scope: multi-source ingestion (issue trackers, code hosts, chat, CI/CD), ontology-driven modeling of development entities, semantic retrieval for natural-language queries, and programmatic access for AI-driven workflows and automations. The tone is neutral and technical, aimed at engineering leaders, platform teams, and AI/ML practitioners evaluating tooling to centralize developer context and improve automation reliability.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.


Devgraph automatically discovers and maps your software, systems, and people into a queryable ontology, making them actionable through AI interfaces. Key Features: * Automatic Discovery: Scan GitHub, GitLab, Argo, Docker, Vercel, and file systems * AI-Powered Queries: Ask questions in natural language with the model of your choice * Relationship Mapping: Understand dependencies between repos, deployments, teams, and more * Queryable Ontology: Built on a graph database for powerful queries * Extensible: Effortlessly create custom providers to discover any resource type and/or take custom action

Website: devgraph.ai

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