llongterm

🌑

NGTERM

Long Term Memory for AI Apps & Agents


const user_message = "I finally enjoy apples 🍏";

const { relatedMemory } = await llongterm.remember(user_message);
// *** RELATED MEMORY ***
// User has spent the past 6 months trying to enjoy apples
// They had a bad experience with apples when they were a kid
// This newfound enjoyment represents a major milestone for them
// *** END RELATED MEMORY ***


import llongterm

# Coming soon

Llongterm sits in the middle and remembers everything

Compatible with all AI chatbots and agents

All llongterm memory is fully human readable

Student Profile

Alex Chen, Master's CS student with 3.8 GPA, BS in Mathematics background. Visual learner preferring morning study in quiet spaces, excelling in mathematics and problem-solving but requiring writing skills development. Learning methods include visual diagrams, practice problems, and interactive demos.

- ▶
  Student Profile:{} 6 keys
  - name:"Alex Chen"
  - learning_style:"Visual learner"
  - ▶
    strengths:[] 2 items
    - 0:"Mathematics"
    - 1:"Problem-solving"
  - ▶
    areas_for_improvement:[] 1 item
    - 0:"Writing skills"
  - ▶
    learning_preferences:{} 3 keys
    - preferred_time:"Morning"
    - study_environment:"Quiet space"
    - ▶
      learning_methods:[] 3 items
      - 0:"Visual diagrams"
      - 1:"Practice problems"
      - 2:"Interactive demos"
  - ▶
    academic_background:{} 4 keys
    - degree:"Master's in Computer Science"
    - current_semester:"2nd"
    - gpa:3.8
    - previous_education:"BS in Mathematics"

Course Progress

75% completion in Advanced Algebra module with 92% average assessment score (95% Factoring, 88% Graphing, 92% Systems of Equations). Started Feb 2024, on track for April 15 completion. Next topics: Complex Numbers and Matrices.

- ▶
  Course Progress:{} 6 keys
  - current_module:"Advanced Algebra"
  - completion_rate:75
  - ▶
    key_concepts_mastered:[] 3 items
    - 0:"Factoring"
    - 1:"Graphing"
    - 2:"Systems of Equations"
  - ▶
    next_topics:[] 2 items
    - 0:"Complex Numbers"
    - 1:"Matrices"
  - ▶
    module_timeline:{} 3 keys
    - start_date:"2024-02-01"
    - target_completion:"2024-04-15"
    - current_pace:"On track"
  - ▶
    assessment_scores:[] 3 items
    - ▶
      0:{} 2 keys
      - topic:"Factoring"
      - score:95
    - ▶
      1:{} 2 keys
      - topic:"Graphing"
      - score:88
    - ▶
      2:{} 2 keys
      - topic:"Systems of Equations"
      - score:92

Learning History

Recent 90-minute session on Quadratic Equations (high comprehension) and 60-minute Linear Algebra session (medium comprehension). Most engaged with Calculus and Linear Algebra, while Statistics and Probability need review.

- ▶
  Learning History:{} 2 keys
  - ▶
    past_sessions:[] 2 items
    - ▶
      0:{} 5 keys
      - date:"2024-03-15"
      - topic:"Quadratic Equations"
      - comprehension:"High"
      - duration:"90 minutes"
      - ▶
        key_takeaways:[] 2 items
        0:"Factoring methods"
        1:"Root finding"
    - ▶
      1:{} 5 keys
      - date:"2024-03-10"
      - topic:"Linear Algebra"
      - comprehension:"Medium"
      - duration:"60 minutes"
      - ▶
        key_takeaways:[] 2 items
        0:"Matrix operations"
        1:"Vector spaces"
  - ▶
    topic_engagement:{} 2 keys
    - ▶
      most_engaged:[] 2 items
      - 0:"Calculus"
      - 1:"Linear Algebra"
    - ▶
      needs_review:[] 2 items
      - 0:"Statistics"
      - 1:"Probability"

Learning Goals

Short-term: Advanced Algebra completion (75% done, due April 15) focusing on complex numbers and proof-writing. Long-term: Honors graduation, Machine Learning specialization, and research skill development.

- ▶
  Learning Goals:{} 3 keys
  - ▶
    short_term:[] 3 items
    - 0:"Master complex number operations"
    - 1:"Complete Advanced Algebra module"
    - 2:"Improve proof-writing skills"
  - ▶
    long_term:[] 3 items
    - 0:"Graduate with honors"
    - 1:"Specialize in Machine Learning"
    - 2:"Develop research skills"
  - ▶
    milestones:[] 1 item
    - ▶
      0:{} 4 keys
      - goal:"Complete Advanced Algebra"
      - deadline:"2024-04-15"
      - progress:"75%"
      - ▶
        dependencies:[] 2 items
        0:"Master prerequisites"
        1:"Complete assignments"

Support Needs

Requires one-on-one assistance for technical writing, complex theoretical concepts, and time management. Utilizes writing center, math tutoring, and study groups. Prefers visual examples with detailed explanatory feedback.

- ▶
  Support Needs:{} 3 keys
  - ▶
    current_challenges:[] 3 items
    - 0:"Technical writing skills"
    - 1:"Complex theoretical concepts"
    - 2:"Time management"
  - ▶
    required_resources:{} 3 keys
    - ▶
      materials:[] 3 items
      - 0:"Writing guides"
      - 1:"Practice problems"
      - 2:"Video tutorials"
    - ▶
      support_services:[] 3 items
      - 0:"Writing center"
      - 1:"Math tutoring"
      - 2:"Study groups"
    - accommodations:[] 0 items
  - ▶
    preferred_assistance:{} 3 keys
    - learning_format:"One-on-one"
    - communication_style:"Visual with examples"
    - feedback_type:"Detailed with explanations"

Performance Analytics

Top 15% ranking with 90% assessment average, 95% attendance, 100% assignment completion. Advanced in mathematical reasoning and problem-solving, developing in technical writing. Showing improvement from basic to developing level in writing skills.

- ▶
  Performance Analytics:{} 4 keys
  - ▶
    overall_metrics:{} 3 keys
    - attendance_rate:"95%"
    - assignment_completion:"100%"
    - average_assessment_score:90
  - ▶
    skill_proficiency:{} 4 keys
    - mathematical_reasoning:"Advanced"
    - problem_solving:"Advanced"
    - technical_writing:"Developing"
    - theoretical_understanding:"Proficient"
  - ▶
    improvement_trends:[] 1 item
    - ▶
      0:{} 4 keys
      - skill:"Technical Writing"
      - starting_level:"Basic"
      - current_level:"Developing"
      - target_level:"Proficient"
  - ▶
    comparative_analysis:{} 2 keys
    - class_ranking:"Top 15%"
    - peer_comparison:"Above average in quantitative skills"

Llongterm Features

Mind as a Service

Spin up an AI Mind for every user conversation

Knowledge Map

Minds use a knowledge map to remember details over years

Self Structuring

Minds structure themselves to build a dynamic taxonomy of their world

Timeline

Minds use a virtual timeline to place events in time and space

Scalable

Minds are automatically pruned and optimized as they grow

Sharable

Minds can be shared between applications and services

Observable

Minds are designed to be human readable, no magic