H2OMatrixCE

H2OMatrixCE — part of the Viper RAID-0 workstation system.

Auto-generated 2026-08-14 03:52 from source — branch main, 59 Python modules, 68 other files.

Architecture

  .director_payload.md
  .gitconfig
  .gitignore
  900_STEPS_SINGULARITY.md
  BUDGET_CREDITS.md
  Blueprint.md
  CHANGELOG.md
  CLIDE_SPEC.md
  ENTERPRISE_INIT.p
  GEMINI.md
  H2O_MATRIX_SOP.p
  LOGOS_PURPOSE.md
  GAME_SUBSTRATE/
    mechanics/
      AGENT_LAYER.py
      CYBER_CANVAS_TUI.py
      DETERMINISTIC_PHYSICS.py
  H2OIDE/
    Blueprint.md
    CHANGELOG.md
    DATA_FLOW.md
    ENTERPRISE_INIT.p
    GLOBAL_PEDAGOGY.md
    PEDAGOGY_LEDGER_DUMP.sql
    PROJECT_LOG.md
    PROMPT_GUIDE.md
    README.md
    README_ENTERPRISE.md
    SESSION_CHATS.jsonl
    agy
    skills/
      terminal.json
    teaching_sandbox/
      a.py
  PocketMatrix/
    build_apk/
      AndroidManifest.xml
      compiled_res.zip
      bin/
        PocketMatrix.stable.zip
        classes.dex
        debug.keystore
      obj/
      res/
      src/
    core/
      build_manifest.json
      cegcc/
        README.md
      wcecl/
    documents/
      PROJECT_GENETIC_FLOW/
        topology.json
      PROJECT_H2O/
        continue_config.json
    system/
      ce_simulator.py
      chat_harvester.py
      datacenter_sync.sh
      fault_injector.py
      google_bridge.py
      gui_bridge.py
      headless_bridge.py
      ingestion_engine.py
      positive_ping.py
      quarantine_filter.py
      telemetry_parser.py
      templates/
        desktop.html
  VIPER_SCRIPT_LIBRARY/
  agy-cli-go/
    agy-go
    go.mod
    main.go
  build_staging/
    agy
  genetic_flow/
    .aider.conf.json
    .env
    .gitignore
    __init__.py
    install_genetic_flow.sh
    runtime_loop.py
    ...

Dependencies

External packages imported by this project:

PocketMatrix, asyncpg, bs4, core_brain, dis, dotenv, email, flask, genetic_flow, gkeepapi, kqml_protocol, openai, rag_pipeline, requests, rich, smtplib

How to run

Executable entry points (have a __main__ block):

• python GAME_SUBSTRATE/mechanics/AGENT_LAYER.py
• python GAME_SUBSTRATE/mechanics/CYBER_CANVAS_TUI.py
• python GAME_SUBSTRATE/mechanics/DETERMINISTIC_PHYSICS.py
• python H2OIDE/daemon.py
• python H2OIDE/initialize_enterprise_project.py
• python H2OIDE/network_hook.py
• python H2OIDE/pedagogy_loop.py
• python PEDAGOGY_HARVESTER.py
• python PocketMatrix/system/ce_simulator.py
• python PocketMatrix/system/chat_harvester.py
• python PocketMatrix/system/fault_injector.py
• python PocketMatrix/system/google_bridge.py

Modules

GAME_SUBSTRATE/mechanics/AGENT_LAYER.py

• auto_configure(intent) — Detects intent and changes system settings automatically.

GAME_SUBSTRATE/mechanics/DETERMINISTIC_PHYSICS.py

• class StateMachine
  • methods: process_input, update

H2OIDE/daemon.py

• call_llm(prompt)
• process_batch(lines)
• main()

H2OIDE/genetic_optimizer.py

• fitness(response_text, duration)

H2OIDE/initialize_enterprise_project.py

• get_token()
• generate_ascii_tree(path) — ASCII tree generator.
• initialize()

H2OIDE/network_hook.py

• webhook()

H2OIDE/pedagogy_loop.py

• log_to_ledger(task, cmd)
• call_llm_agy(task)
• teach()

PEDAGOGY_HARVESTER.py

• harvest() — Autonomous Pedagogy Harvester

PocketMatrix/system/ce_simulator.py

• class CESubstrateSimulator — Simulates a remote Windows CE device for local testing and pedagogy.
  • methods: get_status, simulate_shell

PocketMatrix/system/chat_harvester.py

• extract_todos()

PocketMatrix/system/fault_injector.py

• class DynamicFaultInjector
  • methods: inject_fault, tutor_student

PocketMatrix/system/google_bridge.py

• load_credentials() — Loads Google credentials (Email and App Password) from config.
• send_gmail(to_addr, subject, body, retries) — Sends an email via Gmail SMTP using an App Password with exponential backoff.
• sync_keep(tasks, retries) — Syncs the local PocketMatrix ToDo database with Google Keep with backoff.

PocketMatrix/system/gui_bridge.py

• desktop()
• omni_chat()
• list_projects()
• list_databases()
• query_database()
• update_database()
• handle_notes()
• handle_todo()
• sync_todo_google()
• get_mail()
• send_mail()
• web_crawl()
• get_tasks()
• list_files()
• read_file()

PocketMatrix/system/headless_bridge.py

• class HeadlessBridge
  • methods: translate_and_execute

PocketMatrix/system/ingestion_engine.py

• class IngestionEngine
  • methods: clean_text, fetch_and_parse, format_for_danube

PocketMatrix/system/positive_ping.py

• generate_ping()

PocketMatrix/system/quarantine_filter.py

• isolate_anomalies()

PocketMatrix/system/telemetry_parser.py

• class TelemetryParser
  • methods: generate_mock_telemetry, analyze_telemetry

TODO_SCANNER.py

• scan_todos() — High-Fidelity Todo Scanner
• cleanup_completed() — Removes [x] tasks from substrate to keep entropy low.
• update_syphon(all_todos) — Injects aggregated todos into the CHAT_SYPHON.md manifest.

complete_roadmap.py

• complete_roadmap(file_path)

genetic_flow/cluster/sync_hook.py

• sync_bayesian_weights() — Bridge ledger.db quantum_parameters into the genetic flow loop.
• export_optimization_stats() — Export genetic progress back to the main IDE ledger.

genetic_flow/cluster/topology_mapper.py

• initialize_cluster_table()
• update_heartbeat(node_id) — Updates the heartbeat for a specific cluster node.
• get_cluster_topology() — Returns a string representation of the cluster topology for the TUI.

genetic_flow/core_brain/binary_engine/decompiler.py

• class BinaryDecompilationEngine — Airgapped processor that translates Python logic into binary opcode math.
  • methods: decompile_and_score

genetic_flow/core_brain/router.py

• class LocalAgentRouter — [PERFORMATIVE: ROUTE] Native 32-bit llama-cli Wrapper with KQML/Vector Handoff.
  • methods: get_management_rules, run_generation, clean_code
• extract_clean_code(raw_stream)

genetic_flow/core_brain/target_feature.py

• algorithm(n)

genetic_flow/core_brain/test_harness.py

• class StatisticalEvaluator — [PERFORMATIVE: EVALUATE] Evaluates microsecond trends via IQR variance algorithms (Pure Python).
  • methods: evaluate_performance
• evaluate()

genetic_flow/core_brain/tui_layout.py

• get_last_insight()
• generate_dashboard(gen, fitness, code_str, stuck_count, max_stuck, sprite_status)

genetic_flow/core_brain/watchdog.py

• class Watchdog
  • methods: check_stagnation, get_hyperparameter_adjustment, trigger_cloud_escalation

genetic_flow/master_logic/gemini_agent.py

• get_embedding(text)
• fetch_memory_context(goal)
• run_cmd(cmd)
• fix_step(step_data, error_output, sys_constraints, decompiler, max_retries)
• main(goal)

genetic_flow/memory_daemon/gemini_client.py

• send_to_daemon(command, exit_code)

genetic_flow/memory_daemon/gemini_daemon.py

• process_and_store(payload) — The heavy lifting she does silently after your terminal is already free.
• handle_connection(reader, writer) — Instantly accepts data from your shell hook and releases it.
• main()

genetic_flow/memory_pipeline/audio_engine.py

• class AudioManifestationEngine — [PHASE 5.2/5.3] Headless TTS & Async Streaming Engine.
  • methods: speak, run_audio_feedback

genetic_flow/memory_pipeline/headless_orchestrator.py

• class HeadlessOrchestrator
  • methods: handle_input

genetic_flow/memory_pipeline/rag_interceptor.py

• class SimpleEmbedder — Computes fixed-dimension semantic vector via hashing.
  • methods: embed
• class RAGInterceptor
  • methods: pre_flight_query, log_event

genetic_flow/pyramid/code_sprite.py

• class CodeSprite — Autonomous Dependency Sprite: Scans for imports and manifests environment.
  • methods: _get_installed_packages, scan_and_fix

genetic_flow/runtime_loop.py

• main_loop(max_gen)

genetic_flow/symbolic_brain/engine.py

• class SymbolicContextEngine — [PERFORMATIVE: TOKENIZE] Compiles dynamic AST tree; extracts parent/child shapes.
  • methods: get_structural_signature, _walk_signature, generate_context_hash, update_relational_matrix
• class ProductionRuleMatcher — [PERFORMATIVE: MATCH] Inductive Logic Loop matching pattern variations.
  • methods: match_rule
• class MutationInjector — [PERFORMATIVE: INJECT] Executes physical AST block mutations.
  • methods: apply_mutation
• class WeightBackpropagator — [PERFORMATIVE: UPDATE] Symbolic Backprop Step.
  • methods: backprop

genetic_flow/symbolic_brain/extractor.py

• class SymbolicExtractor — Extracts symbolic rules from successful mutations in the ledger.
  • methods: analyze_patterns

genetic_flow/symbolic_brain/parser.py

• class SymbolicParser — [PERFORMATIVE: TOKENIZE] Compiles live files into structured AST nodes.
  • methods: get_signature_hash, _get_structural_string, map_token_relations

genetic_flow/symbolic_brain/symbolic_inference.py

• class SymbolicInference — [PERFORMATIVE: INFER] Selects target execution transformation rules.
  • methods: infer_optimization_directive

genetic_flow/symbolic_brain/weight_backprop.py

• class WeightBackprop — [PERFORMATIVE: UPDATE] Calculates code fitness improvements and updates rule weights.
  • methods: update_rule_weights

genetic_flow/tracking_db/writer.py

• get_git_hash()
• store_mutation(chash, gen, score, code, task, ast_depth, stagnation, latency_delta)

genetic_optimizer.py

• fitness(response_text, duration)

initialize_enterprise_project.py

• get_token()
• generate_ascii_tree(path) — Simple ASCII tree generator.
• initialize()

predictive_wrapper.py

• class PredictiveGuard
  • methods: setup_db, get_mem_info, predict_fault, monitor_loop, mitigate

scientific_executor.py

• log_scientific_step(step_num, step_desc, observation, hypothesis, experiment, result)
• get_next_step()
• mark_step_complete(step_num)
• run_with_limits(command)
• execute_step(step_num, step_desc)

scientific_orchestrator.py

• class ScientificOrchestrator
  • methods: log_scientific_step, get_next_step, mark_step_complete, run_with_limits, orchestrate

scrub_engine.py

• scrub_content(content)
• scrub_file(file_path)

Public API index

Module	Function	Signature
AGENT_LAYER	auto_configure	auto_configure(intent)
PEDAGOGY_HARVESTER	harvest	harvest()
TODO_SCANNER	cleanup_completed	cleanup_completed()
TODO_SCANNER	scan_todos	scan_todos()
TODO_SCANNER	update_syphon	update_syphon(all_todos)
chat_harvester	extract_todos	extract_todos()
complete_roadmap	complete_roadmap	complete_roadmap(file_path)
daemon	call_llm	call_llm(prompt)
daemon	main	main()
daemon	process_batch	process_batch(lines)
gemini_agent	fetch_memory_context	fetch_memory_context(goal)
gemini_agent	fix_step	fix_step(step_data, error_output, sys_constraints, decompiler, max_retries)
gemini_agent	get_embedding	get_embedding(text)
gemini_agent	main	main(goal)
gemini_agent	run_cmd	run_cmd(cmd)
gemini_client	send_to_daemon	send_to_daemon(command, exit_code)
gemini_daemon	handle_connection	handle_connection(reader, writer)
gemini_daemon	main	main()
gemini_daemon	process_and_store	process_and_store(payload)
genetic_optimizer	fitness	fitness(response_text, duration)
genetic_optimizer	fitness	fitness(response_text, duration)
google_bridge	load_credentials	load_credentials()
google_bridge	send_gmail	send_gmail(to_addr, subject, body, retries)
google_bridge	sync_keep	sync_keep(tasks, retries)
gui_bridge	desktop	desktop()
gui_bridge	get_mail	get_mail()
gui_bridge	get_tasks	get_tasks()
gui_bridge	handle_notes	handle_notes()
gui_bridge	handle_todo	handle_todo()
gui_bridge	list_databases	list_databases()
gui_bridge	list_files	list_files()
gui_bridge	list_projects	list_projects()
gui_bridge	omni_chat	omni_chat()
gui_bridge	query_database	query_database()
gui_bridge	read_file	read_file()
gui_bridge	send_mail	send_mail()
gui_bridge	sync_todo_google	sync_todo_google()
gui_bridge	update_database	update_database()
gui_bridge	web_crawl	web_crawl()
initialize_enterprise_project	generate_ascii_tree	generate_ascii_tree(path)
initialize_enterprise_project	generate_ascii_tree	generate_ascii_tree(path)
initialize_enterprise_project	get_token	get_token()
initialize_enterprise_project	get_token	get_token()
initialize_enterprise_project	initialize	initialize()
initialize_enterprise_project	initialize	initialize()
network_hook	webhook	webhook()
pedagogy_loop	call_llm_agy	call_llm_agy(task)
pedagogy_loop	log_to_ledger	log_to_ledger(task, cmd)
pedagogy_loop	teach	teach()
positive_ping	generate_ping	generate_ping()
quarantine_filter	isolate_anomalies	isolate_anomalies()
router	extract_clean_code	extract_clean_code(raw_stream)
runtime_loop	main_loop	main_loop(max_gen)
scientific_executor	execute_step	execute_step(step_num, step_desc)
scientific_executor	get_next_step	get_next_step()
scientific_executor	log_scientific_step	log_scientific_step(step_num, step_desc, observation, hypothesis, experiment, result)
scientific_executor	mark_step_complete	mark_step_complete(step_num)
scientific_executor	run_with_limits	run_with_limits(command)
scrub_engine	scrub_content	scrub_content(content)
scrub_engine	scrub_file	scrub_file(file_path)

Status

• Branch: main
• Last commit: 2026-08-14 01:13:51 -0600
• File types: .md ×32, .sh ×9, .json ×6, .p ×3, .txt ×2, .go ×2, .sql ×2, .xml ×2

Recent commits

75e8338 [Moe autonomous] H2OMatrixCE 2026-08-14 01:13
4d36884 [Moe autonomous] H2OMatrixCE 2026-08-13 23:22
da2d763 [Moe autonomous] H2OMatrixCE 2026-08-13 21:48
238ef5b [Moe autonomous] H2OMatrixCE 2026-08-13 20:16
def07e5 [Moe autonomous] H2OMatrixCE 2026-08-13 19:36
f13de6e [Moe autonomous] H2OMatrixCE 2026-08-13 19:02
142c999 [Moe autonomous] H2OMatrixCE 2026-08-13 17:26
1f2c38a [Moe autonomous] H2OMatrixCE 2026-08-13 16:46

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README generated by readme_generator.py (Viper). Deterministic — derived from source, not LLM prose.