recallmax
Lets your agent remember a lot of information for a long time. It stores and summarizes long conversations, keeping the original meaning.
What it does
RecallMax helps AI remember a lot of information for longer periods. It can read large documents or long conversations and summarize what's important without forgetting the original tone or intent.
When to use it
- ✓When a conversation with the AI gets too long and it starts forgetting what was said earlier.
- ✓When you want the AI to read a large document and remember the details.
- ✓When you need to summarize a long conversation without losing its meaning or tone.
Example of what to ask your AI
“AI, use RecallMax to read this 50-page document and tell me the main points, keeping a formal tone.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It works by injecting external information into the AI's memory, cleaning up repeated data, and preventing the AI from making things up. Then, it automatically summarizes older parts of the conversation, preserving the tone, intent, and key facts.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill recallmaxOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/recallmax/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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)
Links
- Repo: https://github.com/christopherlhammer11-ai/recallmax
- Marketplace: https://genesis-node-api.vercel.app
- Browse skills: https://genesis-marketplace.vercel.app
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.
FAQ
What does 'long context' mean?
It means a lot of information, like an entire book or a conversation that lasted many hours.
What is 'hallucination'?
It's when the AI makes up information that isn't true or wasn't given to it.
What is 'RAG'?
It's a technique to give the AI access to external information, like documents, so it can answer questions based on that data.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3972
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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