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AI Code Context Platform

Your Codebase,
Instantly Understood

Semantic search, symbol graphs, and persistent memory across every IDE. Stop explaining your codebase to AI. Start coding.

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<100ms Search Latency
16 IDE Integrations
32 Languages
mcp_tools.py
# Find authentication flow
result = repo_search(
    query="user authentication",
    limit=5,
    compact=True
)
# 4,456 sources -> 5 relevant in 47ms
Self-Learning Gets smarter as you search
Green Energy 80% less compute per query

How It Works

From raw code to curated context in milliseconds. Every query flows through our semantic understanding layer.

Raw Sources Semantic Processing MCP Tools
Code Files
Dependencies
Documentation
Git History
Issues
Qdrant Index
Embeddings
Symbol Graph
Memory Store
repo_search
symbol_graph
context_answer
memory_find
4,456 sources → 682 relevant spans

Built for Developers

Everything you need to give your AI deep understanding of your codebase.

Semantic Search

Intent-aware code discovery with repo_search. Find code by meaning, not just keywords.

Symbol Graph

Navigate callers, callees, and definitions with symbol_graph. Understand code relationships instantly.

Cross-Repo Search

Trace API boundaries across repositories. Follow the data flow from frontend to backend.

Persistent Memory

Store and recall context with memory_store and memory_find. Your AI remembers everything.

IDE Agnostic

Works with Claude, Cursor, Windsurf, Copilot, Kiro, and any MCP-compatible client.

Self-Hosted

Your code never leaves your network. Run Singular mode for complete data sovereignty.

Get Early Access

Join the beta and give your AI the context it deserves.