Constellation
Graph-backed code intelligence for your AI assistant.
Constellation turns your codebase into a queryable knowledge graph, giving AI assistants the structural understanding they need to reason about real software — not just the plain text.
Why Constellation?
Text search tells you where a string appears, *everywhere* that string appears. Constellation tells you the exact location of the symbol in question, what it means, what calls it, and what breaks if you change it. Before your assistant edits a function, it can ask:
- Where is this defined, and where is it used across the codebase?
- What's the blast radius of this change?
- Which modules have circular dependencies or dead code?
- How does data flow through the call graph?
Answers come from a semantic graph, not a grep loop.
One Tool, Countless Capabilities
A single `code_intel` tool exposes a rich JavaScript API as a "Code Mode" tool, allowing AI agents to craft complex composite queries.
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AtomCode
AtomCode is an open source AI coding agent that lives in the terminal and autonomously reads files, edits code, runs commands, searches the web, executes tests, and self-verifies until a task is complete. It is designed as a multi-model alternative to tools such as Claude Code and Cursor Agent, supporting Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any OpenAI-compatible API. Its built-in code graph tools provide symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis to help the agent understand large codebases more deeply than basic text search. Developers can attach screenshots and images, while vision preprocessing can extract useful context when the selected primary model does not support images directly. AtomCode integrates natively with AtomGit for OAuth login, repository management, issues, and pull requests, and supports MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows.
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Code Fundi
Code Fundi is a codebase intelligence platform that powers AI agents, engineering teams, and applications with a searchable map of software repositories. Instead of relying on grep, raw embeddings, or disconnected documentation, it ingests a repository from a URL or GitHub, maps files, functions, dependencies, and logic flows, removes boilerplate noise, and converts the result into a token-optimized representation ready for AI context windows. Its Blast-Radius Guard shows which files, services, and downstream behaviors may be affected before an agent changes code, helping teams prevent silent regressions and production failures. Universal Search runs sub-second semantic queries across one repository or hundreds of codebases, allowing users to find implementation patterns, compare architectures, inspect authentication or testing strategies, and trace how code works across projects.
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Amp
Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.
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