sapience-mcp

# Sapience **Human-like memory and a judgment ledger for AI** — an [MCP](https://modelcontextprotocol.io) server for [Claude Code](https://claude.com/claude-code). An LLM has *intelligence* — it processes and analyzes brilliantly — but it's amnesiac between sessions and never accumulates *your* experience. Humans win on something else: memory that persists and judgment that gets sharper because we keep track of how our past calls turned out. That faculty — the one that makes *Homo sapiens* more than raw brainpower — is what Sapience adds to your AI. Two halves: - **A human-like memory** — episodic and semantic memories, ranked by importance, consolidated over time into durable patterns. Not RAG over a scratch file. - **A judgment ledger** — log a prediction with a probability, resolve it against what actually happened, and get a real calibration read (Brier score, reliability by confidence band, a bias map) so you can see where your judgment is systematically off. > Sapience gives *one user's* AI a compounding memory + judgment loop. It is not a claim to reproduce human cognition — it's the missing feedback loop that lets an intelligence learn from experience. ## The judgment ledger This is the part you won't find in other memory tools. Every "AI memory" remembers what you said; Sapience keeps score of whether you were *right*. 1. **Log** a forward-looking call with a probability (0–1) and — crucially — the *reasoning and conditions as they were at the time*. Most retrospectives rewrite history; this preserves the contemporaneous evidence. 2. **Resolve** it when the outcome is known (right / partial / wrong). 3. **Calibrate.** Sapience computes a **Brier score** against a base-rate baseline, breaks accuracy down by confidence band, and flags over/under-confidence. A Claude-written narrative sits *on top of* the numbers — never instead of them. **Honesty by design:** below a sample threshold (20 binary-scored resolutions by default — partial resolutions don…