MCP Agent
Build effective agents using Model Context Protocol and simple workflow patterns
A framework for building effective AI agents using the Model Context Protocol. Implements simple, composable workflow patterns that make agents more reliable and predictable. Supports multiple LLM providers and MCP tools.
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Honcho
Memory library for building stateful AI agents. Continual learning and persistent memory management.
OpenViking
Context database for AI agents. File system paradigm for agent memory with self-evolving capabilities.
Supermemory
Memory engine and API for AI agents. Fast, scalable memory-as-a-service for persistent agent context.