persistent-ai-memory — MCP Server by savantskie

by savantskie · MCP Server · ★ 226

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About persistent-ai-memory

Persistent AI Memory System v1.5.0 🌟 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 v1.5.0 (March 28, 2026) Major Architectural Rewrite: OpenWebUI-Native Integration ✅ OpenWebUI-first design - AI Memory System now deeply integrated into OpenWebUI via plugin (primary deployment method) ✅ Advanced short-term memory - sophisticated memory extraction, filtering, and injection for chat conversations ✅ User ID & Model ID isolation - strict multi-tenant support with configurable enforcement for security and tracking ✅ Complete system portability - all hardcoded paths replaced with environment variables (works anywhere) ✅ Generic class names - removed all Friday-specific branding (FridayMemorySystem → AIMemorySystem) ✅ Production-ready - enhanced error handling, validation, and logging throughout Upgrade from v1.1.0: See CHANGELOG.md for migration guide. 📚 D

ai-assistantembeddingsgithub-copilotlmstudiomcp-serverollamapersistent-memorysemantic-searchsqlite

Quick Facts

Stars226
Forks29
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score39.25/100
Last Updated2026-04-23
Created2025-08-02
Platformsmcp, python
Est. Tokens~67k

Compatible Skills

These tools work well together with persistent-ai-memory for enhanced workflows:

  • fireworks-skill-memory — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • atlas-session-lifecycle — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • openclaw-config — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • superlocalmemory — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

persistent-ai-memory alternative? Top 6 similar tools

Looking for a persistent-ai-memory alternative? If you're comparing persistent-ai-memory with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • Ori-Mnemos by aayoawoyemi · ⭐ 311

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

  • vmlx by jjang-ai · ⭐ 701

    vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hyb

  • vestige by samvallad33 · ⭐ 559

    Cognitive memory for AI agents — FSRS-6 spaced repetition, 29 brain modules, 3D dashboard, single 22MB Rust bi

  • octocode by Muvon · ⭐ 402

    Semantic code searcher and codebase utility

  • daymon by daymonio · ⭐ 382

    Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

  • MARM-Systems by Lyellr88 · ⭐ 305

    Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, s

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Frequently Asked Questions

What is persistent-ai-memory?

persistent-ai-memory is A persistent local memory for AI, LLMs, or Copilot in VS Code.. It is categorized as a MCP Server with 226 GitHub stars.

What programming language is persistent-ai-memory written in?

persistent-ai-memory is primarily written in Python. It covers topics such as ai-assistant, embeddings, github-copilot.

How do I install or use persistent-ai-memory?

You can find installation instructions and usage details in the persistent-ai-memory GitHub repository at github.com/savantskie/persistent-ai-memory. The project has 226 stars and 29 forks, indicating an active community.

What license does persistent-ai-memory use?

persistent-ai-memory is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to persistent-ai-memory?

The top alternatives to persistent-ai-memory on Agent Skills Hub include Ori-Mnemos, vmlx, vestige. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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