CodeAlive

Purpose: Helping AI coding agents retrieve precise, relationship-aware context from large multi-repository codebases without excessive token usage.

Inferred · not functionally tested

Audience: software developers and engineering teams using AI coding agents

Inferred · not functionally tested

Functions: rag, data_extraction, code_generation

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: freemium · license: MIT · platforms: API, CLI, WEB · deployment: browser, cli, self_hosted, cloud_managed, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: codealive.ai · github.com. These links do not verify the individual claims.

CodeAlive is a RAG, search & retrieval project. Inferred · not functionally tested: It focuses on helping AI coding agents retrieve precise, relationship-aware context from large multi-repository codebases without excessive token usage. Inferred · not functionally tested: It is built as a B2B product for software developers and engineering teams using AI coding agents. Basis unknown · not verified: CodeAlive follows a freemium model. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.

Behind CodeAlive is CodeAlive-AI, and it first shipped in 2025. The project is developed in the open on GitHub with 90 stars and 27 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Graph RAG, Semantic Search, and Code Relationship Graph. The interface is available in English and Russian. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.