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persistent-ai-memory MCP Server

savantskie/persistent-ai-memory

Score: 81.3 → 0% Rank #1630 Database
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A persistent local memory for AI, LLMs, or Copilot in VS Code.

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Overview

savantskie/persistent-ai-memory is a Python tool licensed under MIT. A persistent local memory for AI, LLMs, or Copilot in VS Code. Topics: ai-assistant, github-copilot, lmstudio, mcp-server, ollama, persistent-memory, semantic-search, sqlite, embeddings.

Ranked #1630 out of 24846 indexed tools.

In the top 7% of all indexed tools.

Ecosystem

Python MIT
ai-assistantgithub-copilotlmstudiomcp-serverollamapersistent-memorysemantic-searchsqliteembeddings

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 236

236 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

10/10 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 30
Description Good
License MIT

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

How to Improve

Description low impact

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Freshness high impact

Last commit was 51 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:mcp-server

From the README

# Persistent AI Memory System v2.0.0

> 🌟 **Community Call to Action**: Have you made improvements or additions to this system? Submit a pull request! Every contributor will be properly credited in the final product.

**GITHUB LINK** - https://github.com/savantskie/persistent-ai-memory.git

---

## What's New in v2.0.0 (September 20, 2026)

**Full Feature Parity Release** -- PAM is now fully in sync with the internal
production system. Every feature from months of real-world use is now public.

- **Core Identity System** -- Distills a complete profile of who the user is
  across all conversations. Pulls from curated memories, the OpenWebUI memory
  table, and archived databases. Updates incrementally rather than starting
  from scratch each time.
- **Automated Memory Maintenance** -- Background tasks reformat old memories,
  detect contradictions and updates, and link orphaned memories to their source
  conversations. Includes a backlog processor that deduplicates entries, fills
  in 
Read full README on GitHub →

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