LMWPF
Language Model Work Process Framework
"Transforming LLMs from stateless tools into persistent knowledge workers."
"You don't need AGI-level models to perform AGI-level work - you need the right architecture to orchestrate specialist intelligence."
Framework Metrics
Quantified impact of the LMWPF framework on LLM productivity.
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
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
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
GREEN LINE
Verification
Architectural Separation Principle: Auditor ≠ Producer.
Architectural Separation
Independent verification agents (Auditor)
Formal Verification
CrossHair/Kani symbolic execution pipelines
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?)
16 Specialized Agents
Expert agents organized across Research, Development, Operations, and Business domains with DAAO intelligent routing.
Archimedes
Quant Researcher
Statistical analysis, strategy design, IC/Sharpe validation
Dr. Chen
Hedge Fund Researcher
Alpha generation, factor research, institutional methodology
Knuth
Algorithm Designer
Python code, TDD, performance optimization, 100% type hints
Navigator
Nautilus Specialist
NautilusTrader framework integration
Turing
ML/RL Engineer
Model training, MLflow, inference pipelines
Backend Architect
Systems Architect
API specs, architecture review, latency budgets
David Kim
Code Analyzer
Code performance, optimization analysis
Prometheus
Master Orchestrator
Multi-agent coordination, quality gates, session management
Sentinel
Sr. Risk Manager
Circuit breakers, position limits, kill switch protocols
Hephaestus
Sr. DevOps Engineer
K3S, GitHub Actions, Prometheus/Grafana
Alexandria
Market Data Specialist
WebSocket feeds, data quality, <2ms tick processing
Mnemosyne
Knowledge Curator
Session continuity, knowledge graph, context compression
Auditor
Formal Verifier
CrossHair, Kani, property-based testing
Atlas
Product Strategist
Market analysis, financial modeling, partnership strategy
Clio
Marketing Strategist
Product launches, content marketing, developer advocacy
Solon
Legal Specialist
Dual licensing, trademarks, GDPR/CCPA, contracts
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
30 Unified Commands
Structured command framework in the /lmwpf:* namespace.
/lmwpf:specifyGenerate specifications
/lmwpf:implementImplement features
/lmwpf:testRun test suites
/lmwpf:deployDeploy to production
/lmwpf:analyzeAnalyze codebase
/lmwpf:researchResearch topics
/lmwpf:documentGenerate documentation
/lmwpf:checkpointCreate checkpoint
/lmwpf:session:entryStart session
/lmwpf:session:exitEnd session
/lmwpf:kgKnowledge graph ops
/lmwpf:contextDisplay context
/lmwpf:workflowExecute workflow
/lmwpf:spawnSpawn sub-agents
/lmwpf:auditRun audit
/lmwpf:helpGet help
Technology Stack
Production-tested technologies enabling persistent LLM workflows.
Python 3.12
100% type-hinted implementation
LanguageTemporal Knowledge Graphs
Bi-temporal model with validity tracking
MemoryMulti-Agent Orchestration
DAAO intelligent task routing
ArchitectureLaTeX
Academic publication quality docs
DocumentationFormal Verification
CrossHair, Kani integration
QualityPrometheus + Grafana
Session metrics and dashboards
MonitoringAcademic Foundation
Rigorous research foundation with extensive literature review.
See LMWPF in Action
LMWPF powers the Trade-Matrix development workflow, enabling 42% efficiency improvement.