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TrueMemory MCP Server

buildingjoshbetter/TrueMemory

Score: 81.3 ↓ 4% Rank #1628 Database
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The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

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Overview

buildingjoshbetter/TrueMemory is a Python tool licensed under AGPL-3.0. The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI. Topics: agent-memory, ai-agents, ai-memory, anthropic, claude-code, embeddings, mcp, model-context-protocol, rag, sqlite, llm, python, vector-search, ai, ai-agent, claude, developer-tools, generative-ai, mcp-server, semantic-search.

Ranked #1628 out of 24849 indexed tools.

In the top 7% of all indexed tools.

Ecosystem

Python AGPL-3.0
agent-memoryai-agentsai-memoryanthropicclaude-codeembeddingsmcpmodel-context-protocolragsqlitellmpythonvector-searchaiai-agentclaudedeveloper-toolsgenerative-aimcp-serversemantic-search

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 380

380 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 96%

384/401 issues closed → responsive maintainer

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 50
Description Detailed
License AGPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 35 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

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<p align="center">
  <a href="https://github.com/buildingjoshbetter/TrueMemory"></a>
  <a href="https://pepy.tech/projects/truememory"></a>
  &nbsp;–&nbsp;
  <a href="./i18n/README.zh-CN.md"></a>
  <a href="./i18n/README.ru.md"></a>
  &nbsp;–&nbsp;
  <a href="https://arxiv.org/abs/2605.04897"></a>
  <a href="https://discord.gg/ZJ74JB2gVW"></a>
</p>

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<p align="center">
  <a href="#the-problem">Why</a> · <a href="#quick-start">Quick Start</a> · <a href="#how-truememory-compares">Compare</a> · <a href="#tiers">Tiers</a> · <a href="#benchmarks">Benchmarks</a> · <a href="#python-api">API</a> · <a href="#docs">Docs</a> · <a href="#faq">FAQ</a> · <a href="https://discord.gg/ZJ74JB2gVW">Discord</a>
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## Why TrueMemory

**It finds signal in the noise.** Your AI sees thousands of messages. TrueMemory figures out which ones actually matter and throws away the rest. No manual tagging, no prompt engin
Read full README on GitHub →

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