research-orchestration

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Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Description 5%
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# Research Orchestration ## Overview Orchestrates 5-10 parallel research agents for comprehensive, multi-source research. Achieves up to 90% faster results compared to sequential research through concurrent execution. ## Research Depths | Depth | Agent Count | Use Case | |-------|------------|----------| | Shallow | 5 | Quick fact-finding, simple queries | | Medium | 7 | Standard research, moderate complexity | | Deep | 10 | Comprehensive analysis, complex queries | ## Process Flow 1. **Plan**: Decompose query into independent sub-queries 2. **Dispatch**: Run 5-10 research agents in parallel 3. **Synthesize**: Merge findings, identify consensus and conflicts 4. **Validate**: Cross-reference against codebase for accuracy ## Sources - Codebase: source files, patterns, implementations - Documentation: README, JSDoc, inline comments - Configuration: package.json, tsconfig, CI/CD configs ## Confidence Scoring Overall confidence is a weighted average of individual agent confidence scores, adjusted by validation results. Below 70% triggers human review. ## When to Use - `/research [query]` slash command - Before specification creation - When investigating unfamiliar parts of the codebase ## Processes Used By - `claudekit-research` (primary consumer)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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