Hindsight setup: agent memory, MCP and quality gates

Hindsight is an MIT-licensed agent memory system. This tutorial covers installation, memory operations and MCP connections, then examines repository checks at commit a45a882. The API package in the walkthrough is version 0.10.1.

The speaker explains four memory types: world facts, experiences, observations and mental models. Retain extracts facts and relationships through an LLM; recall combines semantic, keyword, graph and temporal searches. Reflect reasons over stored memories. Banks separate memory by user, agent or project, with bank-scoped MCP endpoints exposing these operations.

Setup covers Docker, pip and an embedded mode without a separate server. The Docker example maps the API to port 8888 and the UI to 9999. The platform discussion covers Linux, Apple Silicon and Windows, while noting that bare-metal pip installation is marked unsupported on Intel Macs. Ollama and LM Studio appear as local LLM provider options for a self-hosted deployment.

For coding workflows, the tutorial describes repository banks built from Git history and past sessions. It also reports a practical limitation: simple automations may need only a lookup table. In the repository review, the speaker reports 8,719 root Ruff errors at the pinned commit, while the package trees checked by CI pass lint. Benchmark results remain project-reported claims, rather than guarantees for other workloads.