recallmax

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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.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# 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: ...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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