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recallmax

GRATIS — Memoria de contexto largo de nivel sobrehumano para agentes IA. Inyecta 500K-1M tokens limpios, auto-resume con preservación de tono e intención, comprime historial de 14 turnos en 800 tokens.

El contenido de este skill está en su idioma original (a menudo inglés).

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

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)

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Claude Mastery