Production

LMWPF

Language Model Work Process Framework

"Transforming LLMs from stateless tools into persistent knowledge workers."

Oct 2024 - Present

10 min read

Framework Metrics

Quantified impact of the LMWPF framework on LLM productivity.

Specialized Agents

Opus-4 & Sonnet-4.5 models

$0K+

Annual Savings

Equivalent human labor cost

Knowledge Retention

Session Continuity Protocol

0.0

Production Bugs

Formal verification (CrossHair/Kani)

Unified Commands

Structured /lmwpf:* namespace

Papers Reviewed

Neurosymbolic AI foundation

Dev Velocity

Parallel agent execution

0.0

Strategic Lines

Red/Orange/Green/Blue Arch

The Session Amnesia Problem

Every LLM session starts from zero with no awareness of previous work.

40-60% Time Wasted

Re-explaining context, project state, and decisions from previous sessions.

3-5x Higher Costs

Token bloat from inefficient prompting and repeated context loading.

Zero Recovery

No recovery mechanisms when sessions fail or context is lost.

Session Continuity Protocol (SCP)

5-step entry and 10-part exit protocols ensuring seamless context preservation.

Entry Protocol

1Load exit handshake from previous session
2Restore knowledge graph state
3Verify context integrity (anti-hallucination)
4Load checkpoint if available
5Initialize session metrics

Exit Protocol

1Capture session summary
2Update knowledge graph
3Record decisions and rationale
4Log blocking issues
5Save metrics and timestamps
6Create checkpoint
7Archive session state
8Generate handoff document
9Validate state integrity
10Persist to storage

Four Strategic Lines Architecture

Comprehensive system design covering all aspects of LLM workflow management.

red Line

RED LINE

Cost Optimization

Difficulty-Aware Agent Orchestration (DAAO) optimizes inference-time compute.

Context-Aware Routing

Routes tasks to Haiku/Sonnet/Opus based on complexity

Resource Allocation

Dynamic allocation of computational resources

Show components

orange Line

ORANGE LINE

Adaptation

Active PM Supervision enables mid-execution workflow adaptation.

PM Supervision

Prometheus agent monitors and intervenes in active workflows

Dynamic Planning

Real-time adjustment of execution plans

Show components

green Line

GREEN LINE

Verification

Architectural Separation Principle: Auditor ≠ Producer.

Architectural Separation

Independent verification agents (Auditor)

Formal Verification

CrossHair/Kani symbolic execution pipelines

Show components

blue Line

BLUE LINE

Continuity

Session Continuity Protocol (SCP) and Temporal Knowledge Graphs.

Session Continuity

5-step Entry / 10-part Exit handshake protocols

Temporal KG

Fact validity tracking across time (When was X true?)

Show components

17 Specialized Agents

Expert agents organized across Research, Development, Operations, and Business domains with DAAO intelligent routing.

Prometheus

Master Orchestrator

Strategic planning and high-level coordination

Archimedes

Quant Researcher

Mathematical modeling and financial theory

Aristotle

Philosopher

Conceptual frameworks and first principles

Darwin

Analyst

Pattern recognition and evolutionary analysis

Turing

ML/RL Engineer

Machine learning and reinforcement learning

Knuth

Algorithm Designer

Data structures and algorithmic optimization

Dijkstra

Systems Architect

Distributed systems and architecture

Hopper

Code Debugger

Bug hunting and code quality

Navigator

Nautilus Specialist

NautilusTrader framework integration

Hephaestus

Sr. DevOps Engineer

Infrastructure, K3S, and CI/CD

Sentinel

Sr. Risk Manager

Portfolio protection and HRAA v2

Alexandria

Market Data Specialist

Real-time market data and quality

Auditor

Formal Verification

CrossHair/Kani formal verification

Atlas

Product Strategist

Go-to-market and financial modeling

Clio

Marketing Strategist

Content strategy and documentation

Solon

Legal Specialist

Licensing, IP, and compliance

Mnemosyne

Knowledge Curator

Knowledge graph and context preservation

Core Capabilities

Production-tested features enabling persistent knowledge work.

Session Continuity Protocol (SCP)

Transforms stateless LLMs into persistent knowledge workers using a 3-tier memory hierarchy and explicit handshake protocols.

5-step Entry / 10-part Exit Protocols
Maximizes "Agents", "Skills", "Rules", "Hooks" components
Drastically reduces prompt engineering time
Prevents hallucination via continuous context validation

32 Unified Commands

Structured command framework in the /lmwpf:* namespace.

/lmwpf:specify

Generate specifications

/lmwpf:implement

Implement features

/lmwpf:test

Run test suites

/lmwpf:deploy

Deploy to production

/lmwpf:analyze

Analyze codebase

/lmwpf:research

Research topics

/lmwpf:document

Generate documentation

/lmwpf:checkpoint

Create checkpoint

/lmwpf:session:entry

Start session

/lmwpf:session:exit

End session

/lmwpf:kg

Knowledge graph ops

/lmwpf:context

Display context

/lmwpf:workflow

Execute workflow

/lmwpf:spawn

Spawn sub-agents

/lmwpf:audit

Run audit

/lmwpf:help

Get help

Technology Stack

Production-tested technologies enabling persistent LLM workflows.

Python 3.12

100% type-hinted implementation

Language

Temporal Knowledge Graphs

Bi-temporal model with validity tracking

Memory

Multi-Agent Orchestration

DAAO intelligent task routing

Architecture

LaTeX

Academic publication quality docs

Documentation

Formal Verification

CrossHair, Kani integration

Quality

Prometheus + Grafana

Session metrics and dashboards

Monitoring

Academic Foundation

Rigorous research foundation with extensive literature review.

Papers Reviewed

Neurosymbolic AI, cognitive architectures

Concept Matrix

Academic papers analyzed

142

Citations

Theoretical foundation paper

"You don't need AGI-level models to perform AGI-level work - you need the right architecture to orchestrate specialist intelligence. LMWPF is that architecture."

See LMWPF in Action

LMWPF powers the Trade-Matrix development workflow, enabling 42% efficiency improvement.

Explore Trade-Matrix View Research