Remove 13 knowledge.db binaries plus managed_ids.json, blog_post.md,
tutorial.md, token_metrics_export.json, market_research_results.json that
were accidentally committed (PR notes explicitly say not to commit local
artifacts). Add .gitignore rules to prevent recurrence.
Co-authored-by: Mervin Praison <[email protected]>
- Fix AgentTeam.start() result handling across 22+ workflow/usecase examples
- Fix missing AgentFlow/AgentTeam/AutoAgents imports and registry override demo
- Fix scope_identifiers, state_redis db import, and ToolsMCPServer.run_sse API
- Mark STT and stale tool-import examples as skip until refreshed
- Remove stale db mapping that shadowed praisonaiagents.db submodule
Co-authored-by: Cursor <[email protected]>
Fixes#289 - Multi-agent context issue
This solution demonstrates how to solve the domain context problem where tools
default to "example.com" instead of user-specified domains. Uses 4 existing
PraisonAI features:
1. Custom tool wrappers with domain injection
2. Agent instructions with domain context
3. Task context parameter for domain info
4. Shared memory for context persistence
Key benefits:
- No core SDK changes required
- Uses only existing framework features
- Multi-layer context reliability
- 100% backward compatible
- Works for hierarchical and other processes
Co-authored-by: MervinPraison <[email protected]>
- Multi-agent system with 6 specialized research agents
- Customizable parameters for company, geography, industry, and sections
- YAML configuration for easy setup and customization
- FastAPI integration with async job processing and REST API
- Professional report generation suitable for business decision-making
- Jupyter notebook with multiple implementation examples
- Complete documentation and usage guidelines
Addresses issue #18 - Secondary market research agent with customization
Co-authored-by: MervinPraison <[email protected]>
