ContextGraph vs mcp-ts-core
ContextGraph: ContextGraph is the knowledge layer in the AI agent infrastructure stack. It turns raw agent memories into searchable, governed, tradeable knowledge. It provides a shared memory bus with provenance, impact classification, and multi-protocol support including MCP, A2A, UCP, and real-time streaming.; mcp-ts-core: @cyanheads/mcp-ts-core is a TypeScript framework for building MCP servers. It offers declarative tool/resource/prompt definitions with Zod schemas, pluggable authentication, multi-backend storage, OpenTelemetry observability, and runs on both local (stdio/HTTP) and edge (Cloudflare Workers) runtimes. The framework handles infrastructure concerns like transport, auth, storage, config, logging, and lifecycle, so developers can focus on writing business logic.
TL;DR
Same-company agent follow with provenance and quorum building
Building MCP servers for AI tools and agents
Side-by-Side Comparison
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