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recallium

Active·★ 41·NOASSERTION·Updated 2026-05-15
★ Trending★ Code Assistant★ Workflow Automation

Recallium is a local, self-hosted universal AI memory system providing a persistent knowledge layer for developer tools (Copilot, Cursor, Claude Desktop). It eliminates "AI amnesia" by automatically capturing, clustering, and surfacing decisions and patterns across all projects. It uses the MCP for universal compatibility and ensures privacy

Recallium is a persistent memory layer for AI coding agents, delivered as an MCP server. It provides typed, project-scoped memories that survive across sessions, with intelligent search tuned for engineering queries. It supports Claude Code, Cursor, Windsurf and other MCP-compatible tools.

#ai-amnesia-fix#ai-coding-agent#ai-memory-system#claude-code#claude-desktop#claude-desktop-memory#cross-project-learning#cursor
$ Install
$ cd install && chmod +x start-recallium.sh && ./start-recallium.sh
↗ Visit site★ GitHub
01

Features

01Project-scoped memory isolation with per-project context
02Typed memories (decisions, debug, progress, etc.) for structured storage and retrieval
03Intelligent search that never returns zero results, even with non-exact matches
04Automatic session continuity via `session_recap` command
05Cross-project pattern intelligence and insights across all projects
02

Compatibility

Claude Code
Claude Code
Verified via docs
Cursor
Cursor
Verified via docs
Windsurf
Windsurf
Verified via docs
03

Quick start

1
$ cd install
2
$ chmod +x start-recallium.sh
3
$ ./start-recallium.sh
04

Use cases

↳Resume coding sessions with full context using the 'recallium' command
↳Search and apply past architecture decisions and debugging patterns
↳Discover cross-project patterns and recurring issues
05

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Related searches

recallium AlternativesBest Memory & Context Tools 2026Open Source Memory & Contextrecallium Tutorialrecallium Vs Competitorsai-amnesia-fixai-coding-agentai-memory-system

Comments

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  • A
    Aspen MartinezMay 1, 2026

    Used as the memory layer for personal AI workflows, zero data leaves the local machine

  • J
    Justice JacksonApr 16, 2026

    Persistent memory across AI sessions without cloud dependency is rare and valuable

  • H
    Harper DavisApr 12, 2026

    Good for users who want AI memory benefits without privacy tradeoffs

  • C
    Corey WilsonMar 15, 2026

    Local self-hosted universal AI memory is the right architecture for sensitive personal data

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 41
Last commit2w ago
StatusActive
LicenseNOASSERTION
CategoryMemory & Context
Trend (30d)
+1.6↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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