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Code intelligence agent for deep codebase research
Top 91.9% on SourcePulse
Open Aware provides AI assistants with deep code intelligence for complex codebases, enabling semantic understanding across multiple repositories. It targets developers and AI agents needing advanced code research capabilities beyond simple keyword searches, offering daily updated indexes of popular open-source libraries.
How It Works
This project integrates with AI assistants via the Model Context Protocol (MCP), exposing three agents: get_context
for semantic code retrieval, deep_research
for architectural analysis and planning, and ask
for basic coding questions. It utilizes vector embeddings for conceptual code matching and analyzes code semantically across multiple, daily-updated indexes of popular open-source libraries, offering a significant advantage over local-file-only analysis.
Quick Start & Requirements
Installation involves npm install -g mcp-remote
. Configuration requires setting up an mcpServers
entry in a JSON file to point to the open-aware.qodo.ai/mcp/
endpoint. The system relies on daily updated indexes of popular OSS libraries; users must ensure their target repositories are included in indexed_repositories.json
or contribute them.
Highlighted Details
get_context
(semantic search), deep_research
(in-depth analysis), and ask
(basic Q&A).Maintenance & Community
The project encourages community support, offering channels for getting help, reporting issues, and suggesting features. Users can connect with other developers using Open Aware to share feedback and stay updated.
Licensing & Compatibility
The provided README does not specify a software license. Users should exercise caution regarding code usage and licensing compliance.
Limitations & Caveats
The free "Open Aware" version has usage limits (approximately 10 calls/minute) and does not support private repositories or custom indexing. Analysis is restricted to repositories present in the project's indexed_repositories.json
. A significant disclaimer emphasizes that all code suggestions and analysis are provided "AS IS," with users solely responsible for reviewing, testing, validating, and ensuring license compliance and security before production deployment.
4 days ago
Inactive