AI Context Engine for Coding Agents
Xanther gives your coding agents deep codebase understanding and persistent session memory — delivering precise architectural context and long-term recall on every tool call via MCP.
Your agents are smart enough. They just need better context.
On mini-swe-agent: Sonnet 4.0 + XCE went from 66% → 73.4% — an older-gen model beating raw Sonnet 4.6 and reaching Opus-level with cascade hybrid at 76.8%
SWE-bench Verified
/instance
Cost per resolved instance
cheaper than frontier
vs Claude 4.5 Opus
fewer tokens per task
Same model, less waste
Proprietary Algorith
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The Persistent Recursive Abstract Tree algorithm transforms coding agents into ones that never forget — recursively linking every code element to the right architectural context.
SWE-bench Verified — The Race
With XCE, Sonnet 4.0 overtakes 4.5 & 4.6 — MiniMax M2.5 beats Opus at 16x lower cost
See it in action
Watch how XCE supercharges a coding agent in real time.
Two engines. One smarter agent.
Context Engine gives your agent expertise. Memory Engine gives it memory.
Context Engine
Deep codebase understanding — your agent gets precise architectural context on every tool call, so it always knows where it is and what matters.
Memory Engine
Persistent memory and cross-session state management — your agent remembers decisions, preferences, and context across conversations.
Works with your stack
One MCP tool. Every coding agent.
Xanther democratizes your development workflow — operate across any IDE or agent while maintaining persistent context and session state via MCP. No more starting from scratch when you switch tools.
Claude Code
Anthropic
Kiro
AWS
Cursor
Anysphere
OpenCode
CLI Agent
Windsurf
Codeium
+ any MCP-compatible agent, IDE, or CLI tool
Switch IDEs without losing context
Start debugging in Cursor, continue in Claude Code, review in Kiro — Xanther maintains your codebase context and session state across every tool via MCP. Your knowledge graph and memory travel with you.
Add to your MCP config:
{
"mcpServers": {
"xanther": {
"url": "https://mcp.xanther.ai/sse",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}Real results on SWE-bench Verified
All on mini-swe-agent: Sonnet 4.0 + XCE 66% → 73.4% — older-gen beating raw Sonnet 4.6, reaching Opus-level at 76.8% with cascade hybrid
MiniMax M2.5 + XCE: 78.2% on SWE-bench Verified — beating Claude Opus at 76.8%, at 16x lower cost
XCE reduces token usage by ~20% per task — fewer wasted steps, less exploration of wrong code paths
SWE-bench Verified
MiniMax M2.5 + XCE
Per Instance
16x cheaper than frontier
Sonnet 4.0 + XCE
Up from 66% → 76.8% cascade hybrid