Goldentrii/AgentRecall-MCP — AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives e…

Description and use

Goldentrii/AgentRecall‑MCP is an open‑source framework that equips AI agents with persistent, session‑spanning memory through a Think‑Execute‑Reflect loop, enabling them to retain knowledge and context across interactions. Leveraging the “Intelligent Distance” principle, it orchestrates memory retrieval, reasoning, and action execution in a modular, front‑end‑friendly architecture. Ideal for developers building conversational or autonomous agents that require long‑term continuity and adaptive learning.

Problem

Goldentrii/AgentRecall-MCP helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.

Source