Duplicate effort
When agent B takes over from agent A, it has no record of what was already tested. Investigation restarts from scratch.
For AI Platform Teams
Stop agents from restarting the same investigation
AgentHandoff passes structured context between debugging agents—what was tested, what failed, what's next—so your workflow moves forward instead of looping.
Explore the protocolThe cost of context loss in multi-agent debugging
Broken dependencies
Agents miss assumptions from prior steps. Failed hypotheses get retested. Root causes stay hidden.
Workflow stalls
Sequential and parallel debugging chains slow down. Confidence in results drops because context is fragmented.
A handoff protocol built for debugging workflows
AgentHandoff is a machine-readable context format that agents use to document findings, assumptions, and open questions. Each handoff is validated for completeness before the next agent starts.
Prior-work log inheritance
Every agent sees what was tested, confidence levels, and reasoning from all prior steps. No guessing. No restart loops.
Completeness validation
The protocol flags missing context, unclear assumptions, or incomplete findings before handoff. Agents start with confidence, not gaps.
Language and platform agnostic
Works with any LLM, any orchestration framework, any debugging chain topology. Integrates where you already work.
Structured reasoning capture
Agents document not just findings, but the logic behind them. Future agents inherit decision trees, not just results.
Built for teams running debugging chains at scale
Multi-agent orchestrators
Coordinate debugging workflows where agents hand off findings in sequence or in parallel. Reduce restart loops and accelerate resolution.
AI platform teams
Embed AgentHandoff into your agent framework. Give customers a standard way to pass context between custom agents.
Enterprise debugging chains
Run debugging workflows across teams, systems, and time zones. Maintain context and confidence across every handoff.
How AgentHandoff works
- Agent A documents: What was tested, findings, confidence, assumptions, and open questions in the AgentHandoff format.
- Protocol validates: Checks for completeness, clarity, and dependencies. Flags gaps before handoff.
- Agent B inherits: Receives prior-work log with full context. Starts investigation where A left off, not from the beginning.
- Workflow accelerates: No restart loops. Dependencies are clear. Reasoning is traceable.
Questions
How does AgentHandoff integrate with our orchestration platform?
AgentHandoff is platform-agnostic. We provide SDKs and API endpoints that work with any orchestration framework. You add the handoff protocol to your agent workflow; we handle validation and context passing.
What format does the context use?
AgentHandoff defines a machine-readable schema for debugging context: findings, test results, confidence scores, assumptions, dependencies, and open questions. The schema is extensible for custom fields.
Can we customize the context schema for our debugging domain?
Yes. Premium support includes custom schema design and integration. We work with you to define context fields that match your debugging workflows.
How is pricing structured?
Developer API licensing is charged per handoff transaction. White-label options are available for LLM platforms. Custom support and schema design are premium add-ons.
Does AgentHandoff work with open-source LLMs?
Yes. AgentHandoff is language-agnostic. It works with any LLM, commercial or open-source, that can call APIs or SDKs.
Ready to eliminate agent restart loops?
Join the early-access program and shape the debugging handoff protocol.
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