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Comparison · DevOps

Weaviate vs Speakeasy

Side-by-side trajectory, velocity, and editorial themes.

W
Weaviate
DEVOPS
6.3

Weaviate is climbing the stack from vector database to managed memory and retrieval for agents.

◆ Current state

Weaviate is extending beyond its vector-database core into the agentic infrastructure layer. Engram, its managed memory and context service for agents, just hit GA, while recent releases added a built-in MCP server, query profiling, and multimodal and audio support. Cloud maturity is advancing in parallel with AWS Shared Cloud GA and more granular role-based access control.

◆ Where it's heading

The clear direction is owning agent retrieval end to end — not just storing vectors but supplying memory, MCP-native access, and the hybrid-search quality that determines RAG outcomes. Weaviate is positioning itself as default infrastructure for agent builders, with managed cloud and access controls maturing to match enterprise expectations.

◆ Prediction

Expect Engram to gain deeper integrations with coding assistants and agent frameworks, and the 1.37 preview features (MCP server, diversity search, query profiling) to move toward GA.

S
Speakeasy
DEVOPS
10.0

Speakeasy is turning Gram into an enterprise control plane for MCP and agent traffic.

◆ Current state

Gram has moved well past being an MCP gateway. The last two weeks added a five-step enterprise onboarding wizard, request-time tool filtering, AI-suggested custom detection rules with a live playground, and Shadow MCP access controls. The platform now spans identity (SSO/SCIM via WorkOS), multi-role RBAC, risk-policy enforcement, and workforce observability. Meanwhile the hosted Project Assistant is steadily absorbing what used to be the bolt-on AI Insights sidebar.

◆ Where it's heading

Two arcs are converging. One is governance: detection rules, message-type-scoped risk policies, and runtime Shadow MCP enforcement are hardening Gram into a security layer for agent traffic. The other is the Project Assistant, being rebuilt as a first-class server-side assistant that owns its own conversation state rather than a UI-only sidebar. Enterprise packaging work, the onboarding wizard, device-agent rollout page, and plugin distribution by email, points toward self-serve enterprise adoption.

◆ Prediction

Expect AI Insights to be fully retired in favor of the Project Assistant, which the release notes already frame as its replacement. The detection-rule and Shadow MCP work is likely to keep consolidating into a single risk-policy surface, and the onboarding wizard points toward self-serve enterprise sign-up.

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