recallium: Engineering memory for coding agents: the decisions, fixes and constraints behind your code, with

by recallium-ai · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install recallium

claude mcp add --scope user --transport http recallium http://localhost:8001/mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-memoryai-agent-memoryclaude-codeclaude-code-memoryclaude-desktopcodexcoding-agentscursorcursor-memorydeveloper-tools

Quick Facts

Stars57
Forks5
LanguageBatchfile
CategoryMCP Server
Quality Score61/100
Last Updated2026-10-11
Created2025-11-27
Platformsclaude-code, cli, codex, mcp
Est. Tokens~19k

About recallium

Recallium The memory OS for AI coding agents. Your digital developer twin — because "explain our setup again" gets old fast. It's Wednesday. Your agent just asked you to re-explain your auth architecture. You explained it on Monday. Recallium fixes this — because it was built for developers, not for generic chat. Built for developers. Not chat agents.

recallium alternative? Top 6 similar tools

Looking for a recallium alternative? If you're comparing recallium 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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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