Weavable
Persistent context layer for AI agents to connect and reason across business tools.
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Weavable āĻā§?
Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.
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- Persistent work context via continuous changelog
- Cross-tool entity resolution and relationship mapping
- Single MCP endpoint for all connected tools
- Deterministic data scoping and ranking
- SOC2 Type II and HIPAA compliant security
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Users connect their existing tools via a single OAuth flow, define the specific projects or channels that matter for a workflow to set the data perimeter, and then plug the resulting single MCP endpoint into any AI client like Claude, Cursor, or ChatGPT.
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- Providing AI agents with live, cross-platform context for project management
- Reducing LLM token costs by pre-processing and scoping data
- Standardizing AI responses across a team using shared context endpoints
- Tracking business entity changes across HubSpot, Jira, and Slack simultaneously
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