TraceRoot.AI builds an open-source observability and self-healing layer for AI agents. The platform captures structured traces and logs from production agents and uses AI that has access to the source code and GitHub history to debug issues and automatically propose or apply fixes. It is designed to help engineering teams find and resolve production bugs in agentic systems faster. TraceRoot was part of Y Combinator's Summer 2025 batch.
TraceRoot.AI
ActiveOpen source self-healing layer for AI agents
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
Open-source observability and self-healing layer for AI agents
Captures structured traces and logs from production agents
AI debugging with access to source code and GitHub history
Automatic proposal or application of fixes
Production issue detection for agentic systems
Integration with existing codebases via GitHub context
Faster root-cause analysis for agent failures
Designed for engineering teams running agents in production
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is TraceRoot.AI?
- TraceRoot.AI is an open-source observability and self-healing layer for AI agents that captures traces and logs and uses AI to debug and help fix production issues.
- How does the self-healing work?
- It uses AI with access to your source code and GitHub history to find the root cause of issues and automatically propose or apply fixes.
- Is it open source?
- Yes. TraceRoot.AI is open source and was part of Y Combinator's Summer 2025 batch.
- Who is it for?
- It is built for engineering teams that run AI agents in production and want to find and resolve bugs faster.
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