We built AI that doesn't forget
The persistent memory platform that keeps your AI agents focused, efficient, and on track—even across thousands of hours of complex work.
The Problem: When AI Forgets
After thousands of hours working with AI agents during Gauntlet, we hit the same walls again and again:
AI forgets. And when it forgets, everything breaks.
You lose sight of the problem
- Agents drift from the original goal
- Context gets fragmented across conversations
- The big picture disappears
You add unnecessary things
- Features creep in that don't solve the core problem
- Redundant code and solutions pile up
- Scope expands without purpose
You can't prioritize what matters
- Critical constraints get forgotten
- Important decisions are repeated
- Focus shifts to the wrong priorities
The Band-Aids We Tried
We tried everything:
- Taskmaster — Still forgets context
- BMAD — Doesn't preserve goals
- OpenSpec — Loses track of constraints
- Memory Bank — Incomplete solution
None of them solved the core problem: persistent, structured memory that preserves goals, constraints, and context across long-running sessions.
The Solution We Built
Instinct8 is the AI agent platform with true persistent memory.
We experienced this problem firsthand—1000+ hours of frustration, context loss, and wasted effort. We needed a solution that actually works.
So we built it.
How It Works: Persistent Memory That Actually Works
Instinct8 solves the memory problem with three core innovations that work together:
Protected Core: Goals Never Get Compressed
The Problem: Traditional compression treats everything equally—goals, constraints, and chit-chat all get summarized together. Critical information gets lost.
Our Solution: Instinct8 maintains a Protected Core—a separate, uncompressed memory that stores your goals, constraints, and key decisions. This core is never summarized, never compressed. It's always re-asserted first, ensuring your agent never loses sight of what matters.
Result: Your original goal stays crystal clear, even after 1000+ turns of conversation.
Selective Salience: The Agent Knows What Matters
The Problem: Most systems compress blindly, treating important decisions the same as casual conversation.
Our Solution: Instinct8 uses Selective Salience Compression—we ask the agent itself to identify what's goal-critical. Goals, constraints, key decisions, and important facts are extracted verbatim and preserved. Everything else gets compressed intelligently.
Result: The agent maintains focus on what actually matters, preventing scope creep and unnecessary additions.
Persistent Sessions: Context That Survives
The Problem: One-shot agents lose everything between runs. You have to re-explain goals, constraints, and context every time.
Our Solution: Instinct8 runs as a persistent session (like Claude Code). Your agent stays alive, maintaining conversation history, project awareness, and context across interactions. Compression happens automatically when needed, but your Protected Core and Salience Set are always preserved.
Result: Start a session, set your goal once, and work for hours—or days—without losing context.
How This Solves Your Problems
"You lose sight of the problem" → Protected Core keeps goals front and center
- Goals are never compressed or forgotten
- Always re-asserted at the start of every interaction
- Agent can't drift when the goal is always visible
"You add unnecessary things" → Selective Salience filters out noise
- Agent identifies what's goal-critical vs. what's just conversation
- Only important information is preserved verbatim
- Scope stays focused on what actually matters
"You can't prioritize what matters" → Structured memory preserves constraints
- Constraints stored in Protected Core alongside goals
- Key decisions tracked explicitly
- Agent always knows what's required vs. optional
Get Started
Install and run INSTINCT8 with these simple commands:
pip install instinct8-agentexport OPENAI_API_KEY="your-key"instinct8 --allow-executionQuick Commands
Start building with INSTINCT8 right away!
