Memory Proactive

Memory Proactive is an AI Engineering skill for Claude Code, published by mage0535 in hermes-memory-installer.

204 stars12 forkson mage0535/hermes-memory-installerAdded 2026/09/05Repository updated 2026/08/22

agent-memoryai-agentclaude-codeclicodexcursorgbrainhermeshindsightknowledge-graphllmmemorymulti-agentproductionpythonragretrievalsemantic-searchsidecarvector-memory

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Install Memory Proactive

Copy Memory Proactive into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/mage0535/hermes-memory-installer/tree/main/skills/memory-proactive ~/.claude/skills/memory-proactive

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mage0535/hermes-memory-installer.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/memory-proactive/SKILL.md in mage0535/hermes-memory-installer
Installs to: ~/.claude/skills/memory-proactive
Collection: One of 3 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Memory Proactive does

Memory Proactive combines recent session recall, governance-backed memory, notes, and optional live recall before the next interaction. Use it to route queries into generic domains and keep memory portable across agent runtimes.

Memory Proactive is cataloged under AI Engineering on DirSkills. Memory Proactive comes from a repository tagged agent-memory, ai-agent, claude-code, cli and codex.

Documentation

README

Excerpt

Memory Proactive

This skill describes the current proactive recall surfaces that remain useful in the local repository.

Layered Context Injection

Primary engine: tiered_context_injector.py

It combines multiple recall paths before the next interaction:

recent session recall from shared SQLite state
governance-backed object and hub recall
knowledge note recall
optional live Hindsight recall when the query profile needs it

Example:

python3 scripts/tiered_context_injector.py --query "user preferences"

Useful knobs:

--min-score 0.3
--max-results 10
--recall "project status" "system config"
--domains project,stock

Generic Domain Routing

Helper: domain_memory.py

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Memory Proactive

What else does mage0535 publish alongside Memory Proactive?
Memory Proactive is one of 3 skills that DirSkills catalogs from mage0535/hermes-memory-installer, the repository it ships in. Its siblings there include Memory Archivist and Memory Starter Kit. Each one is a separate skill with its own page in this directory, installs the same way Memory Proactive does, and is maintained by mage0535 in that same repository. The rest of the collection is listed on the mage0535/hermes-memory-installer page.
How does Memory Proactive compare to other AI Engineering skills?
Memory Proactive ranks #2804 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memory Proactive against them. Open each page to compare what they document and how they install.