Context-Engine
Active·★ 392·NOASSERTION·Updated 2026-05-21
★ Memory & Context★ RAG / Knowledge Base
Context-Engine MCP - Agentic Context Compression Suite
Context-Engine is an open-core, self-improving code search tool that integrates with AI coding assistants. It allows developers to search their codebase, get answers with citations, and enhances AI agents' ability to explore code using its MCP tools.
#Code Search#Semantic Search#AI Assistant#LLM Integration#Vector Database#Developer Tools#Self-improving
01
Features
01Self-improving code search that gets smarter with use
02Built-in authentication with session management (optional)
03Unified MCP endpoint for indexer and memory services
04Automatic collection injection for workspace-aware queries
05Agent skills to teach AI coding assistants to use MCP tools
02
Compatibility
Python
Runtime
Verified via docs
VS Code
IDE Client
Verified via docs
OpenAI Codex
AI Integration
Verified via docs
Anthropic Claude
AI Integration
Verified via docs
Google Gemini
AI Integration
Verified via docs
03
Quick start
1
$ pip install context-engine
04
Use cases
↳Semantic code search and retrieval within your codebase
↳Answering codebase-specific questions with cited references
↳Empowering AI coding assistants (e.g., Claude, Codex) with contextual code understanding
↳Local code intelligence engine for individual developer workflows
↳Enterprise-ready codebase exploration and knowledge management
05
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Comments
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- JJesse PatelMay 15, 2026
Good for teams doing extensive AI-assisted development who need to manage context costs
- AAvery AndersonApr 22, 2026
Used for cost optimization on large codebase tasks, 30-40% reduction in context tokens
- RRowan JacksonMar 21, 2026
The compression suite reduces token usage without sacrificing relevant context
- HHarper JohnsonFeb 28, 2026
Agentic context compression that actively manages what the AI sees is sophisticated engineering