This is a lightweight map of the current library surface.
operon_ai.patternsadvise_topology(...)reviewer_gate(...)specialist_swarm(...)skill_organism(...)PatternLibrary, TaskFingerprint, PatternTemplate, PatternRunRecordWatcherComponent, WatcherConfig, WatcherSignal, SignalCategoryInterventionKind, WatcherInterventionadaptive_skill_organism(...), assemble_pattern(...)AdaptiveSkillOrganism, AdaptiveRunResult, ExperienceRecordCognitiveMode, resolve_cognitive_mode()SleepConsolidation, ConsolidationResult, CounterfactualResult, counterfactual_replay()SocialLearning, PeerExchange, TrustRegistry, AdoptionResult, AdoptionOutcomeoperon_ai.coreoperon_ai.organellesNucleusMembraneMitochondriaChaperoneRibosomeLysosomeoperon_ai.statelifecycle-related state
operon_ai.memory
bi-temporal memory (BiTemporalMemory, BiTemporalFact, BiTemporalQuery)
operon_ai.patterns
SubstrateView — read-only view passed to stage handlers during substrate-backed runsoperon_ai.coordinationoperon_ai.surveillanceoperon_ai.healthoperon_ai.healingFor concrete usage, start from the examples rather than reading the namespaces in isolation.
operon_ai.convergenceparse_swarm_topology, parse_animaworks_org, parse_deerflow_sessionanalyze_external_topology, topology_to_templateExternalTopology, AdapterResult, RuntimeConfigseed_library_from_swarms, seed_library_from_deerflow, seed_library_from_acg_surveyskill_to_template, template_to_skillhybrid_skill_organism, default_template_generatorAsyncOrganizer, AsyncThinkResult, async_stage_handlerbridge_animaworks_memory, bridge_deerflow_memoryco-design: DesignProblem, compose_series, compose_parallel, feedback_fixed_point
operon_ai.patterns.priming
PrimingView — multi-channel SubstrateView subclassbuild_priming_view — promote SubstrateView to PrimingView
operon_ai.patterns.heartbeat
HeartbeatDaemon — WatcherComponent with idle-time consolidationoperon_ai.convergence.ralph_adapterparse_ralph_config — convert Ralph hat config to ExternalTopologyralph_hats_to_stages — map Ralph hats to SkillStages with CognitiveMode
operon_ai.convergence.catalog
seed_library_from_ralph — seed PatternLibrary from Ralph hat patternsoperon_ai.convergence.aevolve_adapterparse_aevolve_workspace — convert A-Evolve workspace manifest to ExternalTopologyaevolve_skills_to_stages — map evolved skills to SkillStages
operon_ai.convergence.aevolve_skills
import_aevolve_skills — import SKILL.md strings into PatternLibraryseed_library_from_aevolve — seed from workspace manifestsAll functions are also re-exported from operon_ai.convergence directly.
operon_ai.convergence.swarms_compilerorganism_to_swarms, managed_to_swarms
operon_ai.convergence.deerflow_compiler
organism_to_deerflow, managed_to_deerflow
operon_ai.convergence.ralph_compiler
organism_to_ralph, managed_to_ralph
operon_ai.convergence.scion_compiler
organism_to_scion, managed_to_scionoperon_ai.convergence.distributed_watcherDistributedWatcher, InMemoryTransport, HttpTransport
operon_ai.convergence.langgraph_watcher
operon_watcher_node, create_watcher_configoperon_ai.convergence.prompt_optimizationPromptOptimizer — protocol for prompt-level optimizationEvolutionaryOptimizer — evolutionary prompt mutation with fitness gatingNoOpOptimizer — pass-through optimizer for baselinesattach_optimizer — attach an optimizer instance to a SkillStageoperon_ai.convergence.workflow_generationWorkflowGenerator — protocol for workflow topology generationReasoningGenerator — reasoning-based workflow constructionHeuristicGenerator — heuristic-based workflow constructiongenerate_and_register — generate a workflow and register it in PatternLibraryeval.convergence.live_evaluatorLiveEvaluator — runs real LLM calls through SkillOrganism pipelinesLiveRunResult — per-task result with quality score, tokens, latency, riskclaude -p and codex exec via cli_handler()