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Weavable turns tools into agent context

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Weavable turns tools into agent context
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// 3h agoPRODUCT LAUNCH

Weavable turns tools into agent context

Weavable gives AI agents persistent, scoped work context by sitting between business tools and the model layer. It connects once via a single MCP endpoint, tracks changes across systems, and aims to cut re-ingestion, token waste, and answer drift.

// ANALYSIS

This is the right abstraction if it works: not another agent wrapper, but a context control plane that pre-builds the relationships agents usually have to rediscover on every run.

  • The multi-tool graph matters more than raw connectors; the pitch is that the model sees a curated, continuously updated context layer instead of noisy API dumps
  • A single MCP endpoint is strategically useful for teams already bouncing between Claude, Cursor, ChatGPT, and internal agents
  • Scoped access, read-only OAuth, and audit logs make this feel aimed at real business workflows, not hobby demos
  • The hard part is entity resolution and freshness; if the graph is wrong, the whole promise collapses fast
  • If the token-usage and eval claims hold up in production, this sits squarely in AI infrastructure, not just agent tooling
// TAGS
weavablemcpcontext-engineeringknowledge-graphagenthosted-serviceapi

DISCOVERED

3h ago

2026-05-11

PUBLISHED

8h ago

2026-05-11

RELEVANCE

8/ 10

AUTHOR

[REDACTED]