# CodeAlive

> Context Engine for AI coding agents. Graph RAG over large multi-repo codebases, delivered via MCP for Claude Code, Cursor, and Codex. Cloud or self-hosted.

CodeAlive is a Context Engine (Graph RAG) for large software codebases. It
indexes source code, builds a knowledge graph over symbols, modules, and
cross-repository dependencies, and exposes that index to engineers (via web
chat) and to AI coding agents (via MCP and a REST API). It is purpose-built
for monorepos and multi-repo systems at enterprise scale and is available as
a managed cloud service or a self-hosted deployment (Docker / Kubernetes).

Primary positioning: The Context Engine for AI Coding Agents on Large Codebases

## Products

- [Context Engine](https://codealive.ai/en/products/context-engine): Graph RAG retrieval engine for large codebases. Hybrid symbol + semantic search delivered over MCP, REST, and IDE extensions.
- [Code Review Agent](https://codealive.ai/en/products/code-review-agent): Architecture-aware code review that reads the rest of the codebase, not just the diff. Posts reviews back to GitHub / GitLab / Bitbucket pull requests.
- [Deep Research](https://codealive.ai/en/products/deep-research): Multi-step reasoning over the codebase for hard architectural questions, with transparent citations back to files and lines.
- [MCP & API](https://codealive.ai/en/products/mcp-api): Drop-in MCP server and REST API for Claude Code, Cursor, Codex, Continue, Cline, and any MCP-aware client.
- [Self-Hosted](https://codealive.ai/en/self-hosted): On-premise deployment via Docker Compose or Kubernetes / Helm. Bring-your-own LLM (Qwen, Llama, GLM, DeepSeek, gpt-oss).

## Use Cases

- [Code Review](https://codealive.ai/en/use-cases/code-review): Reviews grounded in the whole system, not just the diff.
- [Onboarding](https://codealive.ai/en/use-cases/onboarding): New engineers ask the codebase questions instead of waiting on seniors.
- [Feature Planning](https://codealive.ai/en/use-cases/feature-planning): Scope new features against the real architecture before coding starts.
- [Multi-Repo Intelligence](https://codealive.ai/en/use-cases/multi-repo): One unified Graph RAG knowledge graph across services, libraries, and infra repos.
- [Documenting](https://codealive.ai/en/use-cases/documenting): Generate and keep docs aligned with the code as it changes.
- [Technical Support](https://codealive.ai/en/use-cases/technical-support): Answer customer questions backed by current code, not stale wikis.
- [Incident & Bug Investigation](https://codealive.ai/en/use-cases/incident-investigation): Trace incidents to the lines and services that caused them — combines CodeAlive MCP with Grafana MCP.
- [No-Code Platform](https://codealive.ai/en/use-cases/no-code): Bring code understanding to no-code and low-code builders.

## Roles

- [CTO & VP Engineering](https://codealive.ai/en/use-cases/cto): Ship faster without losing architectural control.
- [Product Manager](https://codealive.ai/en/use-cases/product-manager): Plan features grounded in what the system can actually do.
- [System Analyst](https://codealive.ai/en/use-cases/system-analyst): Map dependencies and impact across services in minutes.
- [Business Analyst](https://codealive.ai/en/use-cases/business-analyst): Translate business questions into answers from the codebase.
- [DevOps](https://codealive.ai/en/use-cases/devops): Connect infra, pipelines, and app code into one searchable layer.
- [SRE](https://codealive.ai/en/use-cases/sre): Investigate incidents with cross-repo context at hand.

## Optional

- [Documentation](https://docs.codealive.ai): Full developer documentation, MCP integration guides, API reference, and self-hosting playbooks.
- [Blog](https://codealive.ai/en/blog): Engineering notes, product updates, and AI context deep-dives.
- [Changelog](https://codealive.ai/en/changelog): Releases, improvements, and fixes.
- [Case Studies](https://codealive.ai/en/case-studies): How teams use CodeAlive in production.
- [Security](https://codealive.ai/en/security): Tenant isolation, AES-256-GCM envelope encryption, sandboxed indexing, RBAC.
- [Data Processing Agreement](https://codealive.ai/en/dpa): DPA available on request.
- [About](https://codealive.ai/en/about/company): Company, mission, and team.
- [Contact Sales](https://codealive.ai/en/contact-sales): Talk to sales about pricing, self-hosted, and custom integrations.
- [GitHub](https://github.com/CodeAlive-AI): Open-source skills, MCP server, installer, and example integrations.
- [llms-full.txt](https://codealive.ai/llms-full.txt): Long-form machine-readable summary of CodeAlive product, features, integrations, and FAQ.
- [Sitemap](https://codealive.ai/sitemap.xml): Full sitemap of indexable URLs — includes per-locale URLs and hreflang alternates.
- Russian-language version: https://codealive.ai/ru/ — the same product pages are available in Russian under the `/ru/` prefix (e.g. https://codealive.ai/ru/products/context-engine). This llms.txt is intentionally English-only as a single source of truth; `hreflang` and the sitemap describe the alternates.