Semantic code search, memory, and symbol intelligence for AI coding assistants.
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We owe you an honest explanation.
Context Engine was originally open source. We built it in the open because we believed in the community and wanted developers everywhere to benefit from better code search.
Unfortunately, we've seen our work consistently monetized and cloned by others without attribution — entire products built on top of our code and sold commercially. After careful consideration, we've made the difficult decision to remove the source code from this repository.
We're sorry. We know this is frustrating, especially for those who contributed, starred, or relied on the public codebase. This wasn't the outcome we wanted, and we take full responsibility for not protecting the project sooner.
What's still here:
- AI agent skills for all major coding assistants (see below)
- The Context Engine marketing site (context-engine.ai)
- License, legal notices, and attribution files
What's available through the platform:
- Full hosted service at context-engine.ai
- VS Code extension on the marketplace
ctx-mcp-bridgeon npm
We remain committed to building the best code intelligence tools for developers. If you have questions, reach out at john@context-engine.ai.
Context Engine ships AI agent skills that teach your coding assistant how to use 30+ MCP tools for semantic search, symbol graph navigation, memory, and more.
The skill is auto-loaded when you connect Context Engine as an MCP server. No manual installation needed.
If you want to add the rules file manually:
# Copy the skill to your project
cp -r skills/context-engine/ your-project/.claude/
# Or reference GEMINI.md / .cursorrules directly — they contain the same rulesContext Engine rules are included in .cursorrules at the root of your workspace. Cursor picks this up automatically when the file is present.
# Copy to your project root
cp .cursorrules your-project/.cursorrules# Codex skills
cp -r .codex/skills/ your-project/.codex/skills/
# Or use the generic skill file
cp skills/context-engine/SKILL.md your-project/.context-engine-skill.mdcp -r .augment/ your-project/.augment/cp GEMINI.md your-project/GEMINI.mdThe core skill file works with any AI assistant that supports custom instructions:
cp skills/context-engine/SKILL.md your-project/Then tell your assistant: "Read SKILL.md for instructions on using Context Engine MCP tools."
The skills teach your AI assistant to:
- Use
searchas the default tool — auto-routes queries to the best backend (semantic search, Q&A, symbol graph, tests, config) - Navigate code with
symbol_graph— find callers, callees, definitions, importers, subclasses - Run batch queries —
batch_search,batch_symbol_graph,batch_graph_queryfor 75%+ token savings - Store and recall knowledge —
memory_storeandmemory_findfor persistent context across sessions - Trace cross-repo flows —
cross_repo_searchwith boundary tracing for multi-repo codebases - Find structural patterns —
pattern_searchfor retry loops, error handling, singletons across languages - Search git history —
search_commits_forandchange_history_for_path
See skills/context-engine/SKILL.md for the complete tool reference.
- Sign up at context-engine.ai
- Install the VS Code extension — search "Context Engine" in the marketplace
- Upload your codebase — the extension handles indexing automatically
- Start searching — your AI assistant now has access to all 30+ MCP tools
Context-Engine Source Available License 1.0
© 2025 Context Engine Inc. and John Donalson.