AI Context Engine for Coding Agents
Powered by proprietary PRAT algorithm, Xanther gives your coding agents deep codebase understanding — delivering precise architectural context 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
Proprietary Algorith
Powered by PRAT
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.
Demo video coming soon
Two engines. One smarter agent.
Context Engine gives your agent expertise. Session 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.
Session Engine
Persistent memory and cross-session state management — your agent remembers decisions, preferences, and context across conversations.
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
SWE-bench Verified
MiniMax M2.5 + XCE
Per Instance
16x cheaper than frontier
Sonnet 4.0 + XCE
Up from 66% → 76.8% cascade hybrid