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Injects 500K-1M clean tokens, auto-summarizes with tone\u002Fintent preservation, compresses 14-turn history into 800 tokens.\"\ncategory: memory\nrisk: safe\nsource: community\ndate_added: \"2026-03-13\"\nauthor: christopherlhammer11-ai\ntags: [memory, context, rag, summarization, compression, long-context, agent-infrastructure]\ntools: [claude, cursor, codex, gemini, copilot, windsurf, antigravity, grok]\n---\n\n# RecallMax — God-Tier Long-Context Memory\n\n## Overview\n\nRecallMax 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.\n\nFree forever. Built by the Genesis Agent Marketplace.\n\n## Install\n\n```bash\nnpx skills add christopherlhammer11-ai\u002Frecallmax\n```\n\n## When to Use This Skill\n\n- Use when your agent loses context in long conversations (50+ turns)\n- Use when injecting large RAG\u002Fexternal documents into agent context\n- Use when you need to compress conversation history without losing meaning\n- Use when fact-checking claims across a long thread\n- Use for any agent that needs to remember everything\n\n## How It Works\n\n### Step 1: Context Injection\n\nRecallMax cleanly injects external context (documents, RAG results, prior conversations) into the agent's working memory. Unlike naive concatenation, it:\n- Deduplicates overlapping content\n- Preserves source attribution\n- Prevents hallucination drift from context pollution\n\n### Step 2: Adaptive Summarization\n\nAs conversations grow, RecallMax automatically summarizes older turns while preserving:\n- **Tone** — sarcasm, formality, urgency\n- **Intent** — what the user actually wants vs. what they said\n- **Key facts** — numbers, names, decisions, commitments\n- **Emotional register** — frustration, excitement, confusion\n\n### Step 3: History Compression\n\nCompress a 14-turn conversation history into ~800 high-density tokens that retain full semantic meaning. The compressed output can be re-expanded if needed.\n\n### Step 4: Fact Verification\n\nBuilt-in cross-reference checks for controversial or ambiguous claims within the conversation context. Flags contradictions and unsupported assertions.\n\n## Best Practices\n\n- ✅ Use RecallMax at the start of long-running agent sessions\n- ✅ Enable auto-summarization for conversations beyond 20 turns\n- ✅ Use compression before hitting context window limits\n- ✅ Let the fact verifier run on high-stakes outputs\n- ❌ Don't inject unvetted external content without dedup\n- ❌ Don't skip summarization and rely on raw truncation\n\n## Related Skills\n\n- `@tool-use-guardian` - Tool-call reliability wrapper (also free from Genesis Marketplace)\n\n## Links\n\n- **Repo:** https:\u002F\u002Fgithub.com\u002Fchristopherlhammer11-ai\u002Frecallmax\n- **Marketplace:** https:\u002F\u002Fgenesis-node-api.vercel.app\n- **Browse skills:** https:\u002F\u002Fgenesis-marketplace.vercel.app\n","# RecallMax — God-Tier Long-Context Memory\n\n## Overview\n\nRecallMax 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.\n\nFree forever. Built by the Genesis Agent Marketplace.\n\n## Install\n\n```bash\nnpx skills add christopherlhammer11-ai\u002Frecallmax\n```\n\n## When to Use This Skill\n\n- Use when your agent loses context in long conversations (50+ turns)\n- Use when injecting large RAG\u002Fexternal documents into agent context\n- Use when you need to compress conversation history without losing meaning\n- Use when fact-checking claims across a long thread\n- Use for any agent that needs to remember everything\n\n## How It Works\n\n### Step 1: Context Injection\n\nRecallMax cleanly injects external context (documents, RAG results, prior conversations) into the agent's working memory. Unlike naive concatenation, it:\n- Deduplicates overlapping content\n- Preserves source attribution\n- Prevents hallucination drift from context pollution\n\n### Step 2: Adaptive Summarization\n\nAs conversations grow, RecallMax automatically summarizes older turns while preserving:\n- **Tone** — sarcasm, formality, urgency\n- **Intent** — what the user actually wants vs. what they said\n- **Key facts** — numbers, names, decisions, commitments\n- **Emotional register** — frustration, excitement, confusion\n\n### Step 3: History Compression\n\nCompress a 14-turn conversation history into ~800 high-density tokens that retain full semantic meaning. The compressed output can be re-expanded if needed.\n\n### Step 4: Fact Verification\n\nBuilt-in cross-reference checks for controversial or ambiguous claims within the conversation context. 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Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzeroize-audit\u002FSKILL.md",[1393],{"categoryNo":1322,"categoryName":1323,"taxonomyType":1294,"taxonomyTypeDesc":1295},[1395,1396,1397,1398,1399,1400,1401,1402,25,1403,1404,1405,1406,1407,1408,1409,1410,1411,1412,1331],"zeroize audit","audit","write","passwords","get","project","c++","activate","assembly","read","Bash","secrets","analysis","data","flow","verification","code","rust"]