Ctxo

AI agents don't fail because they can't code.
They fail because they code blind.
Ctxo gives them the full picture before they write a single line.

npx @ctxo/init
Get Started
Without Ctxo
grep
read
find
grep
read
read
grep
read
find
read
⚠ CONTEXT OVERFLOW
  • ✕ Context window saturated
  • ✕ Partial context hallucination
  • ✕ Lost-in-the-middle
  • ✕ Context poisoning
  • ✕ 10-20 calls per symbol
  • ✕ Stale reasoning after iterations
VS
With Ctxo
Agent
Ctxo
Done
  • ✓ Clean, relevant context only
  • ✓ One call replaces full exploration
  • ✓ Structured symbol graphs + deps
  • ✓ Built-in usage stats & insights
  • ✓ Detects architectural drift + boundary violations
Built on MCP — works with Claude Code, Copilot, Cursor, Windsurf, Cline & any MCP client
Token Usage
140K
2.9K
48x
less tokens consumed
Tool Calls
409+
8
51x
fewer tool calls
Context Free
Overflow
97% free
97%
context window free
Real-World Results

See the Difference

Same codebase. Same model. Same question. One uses ctxo. One doesn't.

find_dead_code

Dead Code Analysis

35s vs 7 min
2,382 vs ~200 symbols

1 call analyzed 2,382 symbols and auto-classified 203 false positives. Manual took 8 rounds and 35 tool calls.

See full comparison →
get_blast_radius

Blast Radius Analysis

17/17 vs 14/17 found
4 layers vs 2 layers deep

Manual missed 3 subclasses entirely. ctxo found every symbol, risk-scored them, and suggested a 1-file alternative.

See full comparison →