$ loading_
Build, manage, and govern executable digital employees on enterprise knowledge networks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kweaver-dip" yet — see the docs or source repo.
Based on an enterprise knowledge network, design a digital employee for customer support. Describe its responsibilities, accessible knowledge and systems, workflow, escalation rules, and governance requirements.
A digital employee design plan covering capability boundaries, execution flow, integration points, and governance mechanisms.
Create an implementation plan for digital employees in a mid-sized enterprise, including knowledge onboarding, permission control, pilot scenarios, evaluation metrics, and post-launch operations guidance.
A phased implementation roadmap to deploy and continuously improve digital employees in an organized way.
Define a governance framework for an enterprise digital employee platform, including explainability, auditability, permission tiers, risk controls, and exception handling, with implementation recommendations.
A governance recommendation set that ensures digital employees are understandable, executable, and controllable in enterprise settings.
Give AI agents a writable Markdown knowledge base for memory and collaboration.
Connect function-calling LLMs on desktop and use MCP tools seamlessly.
Expose Agentweaver runs and results as MCP tools in Claude Desktop.
Give AI agents persistent knowledge graph memory across sessions.
Enable AI agents to run KYC, AML, screening, and fraud checks.
Search the web, research deeply, extract content, and get real-time AI answers.