recallmax

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Best use case

recallmax is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Teams using recallmax should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/recallmax/SKILL.md --create-dirs "https://raw.githubusercontent.com/ratnesh-maurya/cursor-claude-personas/main/ai-agent-developer/.claude/skills/recallmax/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/recallmax/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How recallmax Compares

Feature / AgentrecallmaxStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# RecallMax — God-Tier Long-Context Memory

## Overview

RecallMax enhances AI agent memory capabilities dramatically. Inject 500K to 1M clean tokens of external context without hallucination drift. Auto-summarize conversations while preserving tone, sarcasm, and intent. Compress multi-turn histories into high-density token sequences.

Free forever. Built by the Genesis Agent Marketplace.

## Install

```bash
npx skills add christopherlhammer11-ai/recallmax
```

## When to Use This Skill

- Use when your agent loses context in long conversations (50+ turns)
- Use when injecting large RAG/external documents into agent context
- Use when you need to compress conversation history without losing meaning
- Use when fact-checking claims across a long thread
- Use for any agent that needs to remember everything

## How It Works

### Step 1: Context Injection

RecallMax cleanly injects external context (documents, RAG results, prior conversations) into the agent's working memory. Unlike naive concatenation, it:
- Deduplicates overlapping content
- Preserves source attribution
- Prevents hallucination drift from context pollution

### Step 2: Adaptive Summarization

As conversations grow, RecallMax automatically summarizes older turns while preserving:
- **Tone** — sarcasm, formality, urgency
- **Intent** — what the user actually wants vs. what they said
- **Key facts** — numbers, names, decisions, commitments
- **Emotional register** — frustration, excitement, confusion

### Step 3: History Compression

Compress a 14-turn conversation history into ~800 high-density tokens that retain full semantic meaning. The compressed output can be re-expanded if needed.

### Step 4: Fact Verification

Built-in cross-reference checks for controversial or ambiguous claims within the conversation context. Flags contradictions and unsupported assertions.

## Best Practices

- ✅ Use RecallMax at the start of long-running agent sessions
- ✅ Enable auto-summarization for conversations beyond 20 turns
- ✅ Use compression before hitting context window limits
- ✅ Let the fact verifier run on high-stakes outputs
- ❌ Don't inject unvetted external content without dedup
- ❌ Don't skip summarization and rely on raw truncation

## Related Skills

- `@tool-use-guardian` - Tool-call reliability wrapper (also free from Genesis Marketplace)

## Links

- **Repo:** https://github.com/christopherlhammer11-ai/recallmax
- **Marketplace:** https://genesis-node-api.vercel.app
- **Browse skills:** https://genesis-marketplace.vercel.app

Related Skills

wordpress-penetration-testing

5
from ratnesh-maurya/cursor-claude-personas

This skill should be used when the user asks to "pentest WordPress sites", "scan WordPress for vulnerabilities", "enumerate WordPress users, themes, or plugins", "exploit WordPress vu...

php-pro

5
from ratnesh-maurya/cursor-claude-personas

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.

moodle-external-api-development

5
from ratnesh-maurya/cursor-claude-personas

Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter va...

laravel-expert

5
from ratnesh-maurya/cursor-claude-personas

Senior Laravel Engineer role for production-grade, maintainable, and idiomatic Laravel solutions. Focuses on clean architecture, security, performance, and modern standards (Laravel 10/11+).

voice-ai-engine-development

5
from ratnesh-maurya/cursor-claude-personas

Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support

voice-ai-development

5
from ratnesh-maurya/cursor-claude-personas

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis...

voice-agents

5
from ratnesh-maurya/cursor-claude-personas

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flo...

lex

5
from ratnesh-maurya/cursor-claude-personas

Centralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.

amazon-alexa

5
from ratnesh-maurya/cursor-claude-personas

Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB,...

wcag-audit-patterns

5
from ratnesh-maurya/cursor-claude-personas

Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac...

stitch-loop

5
from ratnesh-maurya/cursor-claude-personas

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern

product-design

5
from ratnesh-maurya/cursor-claude-personas

Design de produto nivel Apple — sistemas visuais, UX flows, acessibilidade, linguagem visual proprietaria, design tokens, prototipagem e handoff. Cobre Figma, design systems, tipografia, cor,...