Agentic Framework Benchmark and Evaluation Standard
Defines a reproducible benchmark for agent frameworks, including orchestration, memory, tools, safety boundaries, observability, durability, interoperability, and evidence-backed evaluation.
Standards / AI, Knowledge, Data, and Identity / MYTHOS-AI
Artificial Intelligence
Artificial intelligence, knowledge and grounding, data and evidence, identity, and learning. Visual language: Model routing lattices, knowledge graphs, provenance flows, identity trust paths, policy gates, and learning loops.
- Standards
- 15
- Pages
- 675
- Companions
- 17
MYTHOS-AI
Artificial Intelligence standards
15 of 15
MYTHOS-AI-0001 MYTHOS-AI-0002 Model Intelligence, Training, and Deployment Standard
Defines model selection, training, evaluation, packaging, deployment, inference, governance, and lifecycle requirements for production AI systems.
MYTHOS-AI-0003 Applied Natural Language & LLM Evaluation Standard
Defines evaluation of language-model quality, grounding, reasoning, retrieval, hallucination resistance, multilingual behavior, and task-specific natural-language performance.
MYTHOS-AI-0004 AI Software Engineer & Code Generation Benchmark Standard
Defines benchmarks for AI-assisted software engineering, including code generation, repository reasoning, testing, repair, security, and autonomous engineering workflows.
MYTHOS-AI-0005 Applied Automation & Infrastructure-as-Code Benchmark Standard
Defines evaluation of AI systems performing infrastructure automation and infrastructure-as-code tasks, emphasizing correctness, safety, rollback, policy, and reproducibility.
MYTHOS-AI-0006 AI Alignment, Red-Team, & Sycophancy Evaluation Standard
Defines alignment and adversarial evaluation for AI systems, including red-team methodology, instruction hierarchy, sycophancy, deception, unsafe autonomy, and behavioral assurance.
MYTHOS-AI-0007 Context Engineering, Trajectory Compaction, & Temporal Memory Standard
Defines context engineering, trajectory compaction, temporal memory, retrieval, persistence, and context-window governance for long-running agentic systems.
MYTHOS-AI-0008 Multimodal Interaction, Vision, & Voice Latency Standard
Defines latency, synchronization, quality, safety, and evaluation requirements for multimodal AI spanning vision, voice, streaming interaction, and realtime user experience.
MYTHOS-AI-0009 Model Fine-Tuning, Reinforcement, and Synthetic Data Governance Standard
Defines governed fine-tuning, reinforcement learning from evaluative feedback, synthetic-data generation, dataset provenance, contamination controls, and post-training validation.
MYTHOS-AI-0010 AI Avatar, Persona, & Provenance Standard
Defines identity, consent, provenance, safety, continuity, and lifecycle requirements for AI personas, avatars, synthetic voices, and persistent user-facing characters.
MYTHOS-AI-0011 Mixture of Experts (MoE) & State Space Model (SSM/Mamba) Architecture Standard
Defines architecture and evaluation for mixture-of-experts and state-space models, including routing, sparsity, memory, throughput, scaling, and deployment tradeoffs.
MYTHOS-AI-0012 Neuro-Symbolic AI & Continual Learning (Anti-Catastrophic Forgetting) Standard
Defines neuro-symbolic and continual-learning architectures that combine learned models with explicit reasoning while controlling catastrophic forgetting and knowledge drift.
MYTHOS-AI-0013 AI-Assisted Software Engineering & Model Routing Standard
Defines AI-assisted engineering workflows and model-routing strategies across planning, coding, review, testing, tool use, escalation, and cost-aware execution.
MYTHOS-AI-0014 Inference Serving, Quantization & KV-Cache Standard
Defines production inference serving, quantization, batching, KV-cache management, accelerator utilization, latency, throughput, and quality-preservation requirements.
MYTHOS-AI-0015 Federated Learning & Privacy-Preserving ML Standard
Defines federated and privacy-preserving machine learning, including local training, aggregation, differential privacy, secure computation, model leakage, and governance.
Companions
Guides and portfolios for this series
Field guides, living guides, and portfolio editions that decompose or consolidate the MYTHOS-AI standards.
MYTHOS-CMP-COMP-AI-0001 Agentic Framework Comparative Evaluation Companion
Curated evaluation companion consolidating comparative findings, benchmark criteria, workload profiles, evidence confidence, and proof-of-concept requirements for agentic framework.
MYTHOS-FG-AI-0001 AI Model Architecture and Capability Foundations
A foundation-to-frontier guide covering tensors, representation learning, transformers, attention, encoders, decoders, mixture-of-experts, diffusion, state-space and recurrent alternatives, multimodality, scaling, capability boundaries, and architecture evaluation.
MYTHOS-FG-AI-0002 AI Model and Agent Evaluation Engineering
A rigorous evaluation guide covering capability, quality, safety, robustness, calibration, agents, tools, long-horizon tasks, datasets, contamination, judges, human studies, performance, cost, regression, and decision-focused reporting.
MYTHOS-FG-AI-0003 Local Models On Device Inference and Sovereign AI
A local-first AI guide covering model acquisition, licensing, hardware sizing, GGUF, runtimes, accelerators, offline operation, privacy, sovereign controls, model lifecycle, evaluation, updates, and hybrid routing.
MYTHOS-FG-AI-0004 Inference Serving Quantization KV Cache and Throughput Engineering
A production inference guide covering serving architecture, tokenization, prefill, decoding, batching, scheduling, KV caches, quantization, parallelism, speculative decoding, autoscaling, SLOs, observability, cost, and failure recovery.
MYTHOS-FG-AI-0005 Fine Tuning Alignment Synthetic Data and Training Governance
A training and post-training guide covering objectives, datasets, SFT, PEFT, LoRA, QLoRA, preferences, DPO, reward models, synthetic data, curriculum, distributed training, evaluation, safety, provenance, release, and rollback.
MYTHOS-FG-AI-0006 Multimodal AI Vision Voice and Realtime Interaction
A multimodal systems guide covering image, document, audio, speech, video, fusion, grounding, realtime streaming, voice activity, turn-taking, latency, accessibility, privacy, safety, and multimodal evaluation.
MYTHOS-FG-AI-0007 Context Engineering Token Management and Trajectory Compaction
A context-systems guide covering tokenization, context budgets, prompt anatomy, relevance, long context, position effects, caches, summaries, compaction, trajectory records, working sets, multi-agent context, security, and evaluation.
MYTHOS-FG-AI-0008 Knowledge RAG Memory Grounding and Source Authority
A grounded AI guide covering knowledge ingestion, parsing, chunking, embeddings, lexical and dense retrieval, reranking, graph retrieval, citations, memory tiers, source authority, freshness, access control, evaluation, and lifecycle.
MYTHOS-FG-AI-0009 AI Tools Skills MCP Plugins and Capability Security
A capability integration guide covering tools, functions, skills, plugins, MCP clients and servers, resources, prompts, transports, authorization, schemas, discovery, sandboxing, capability policy, supply chain, observability, evaluation, and incident response.
MYTHOS-FG-AI-0010 Agent Harnesses Multi Harness Fabrics and Runtime Isolation
A frontier runtime guide defining agent harnesses as governed execution authorities and multi-harness fabrics as distributed systems for routing missions across isolated workspaces, tools, models, credentials, memory, sandboxes, and evidence planes.
MYTHOS-FG-AI-0011 Multi Agent and Multi Model Parallelism
A frontier guide to extreme parallel agent systems: task graphs, role arrays, model portfolios, speculative branches, supervisors, distributed scheduling, context partitioning, consensus, verification, failure isolation, budgets, and scalable fan-in.
MYTHOS-FG-AI-0012 AI Safety Alignment Red Teaming Sycophancy and Control
A practical-to-frontier safety guide covering risk governance, objective and instruction alignment, sycophancy, reward hacking, deceptive behavior, prompt injection, tool misuse, memory poisoning, red teaming, control architectures, human oversight, monitoring, and incident response.
MYTHOS-FG-AI-0013 AI and Agent Observability Evidence and Evaluation Telemetry
A complete observability and evidence guide for models and agents covering semantic telemetry, traces, mission graphs, model calls, tokens, context, retrieval, memory, tools, approvals, artifacts, evaluations, costs, privacy, replay, and assurance.
MYTHOS-FG-AI-0014 Agentic Software Engineering and Autonomous Development Workflows
A frontier software-delivery guide covering autonomous requirements analysis, repository understanding, architecture, planning, coding, test generation, review, debugging, documentation, release, maintenance, multi-harness workflows, and verified completion.
MYTHOS-GUIDE-AI-0001 Artificial Intelligence Engineering
Integrated engineering guide connecting the relevant Mythos standards, implementation patterns, operating procedures, architecture decisions, evidence expectations, and maturity path for enterprise ai and agentic systems engineering.
MYTHOS-AI-PORT-0001 Artificial Intelligence Standards Portfolio
Portfolio Edition in the Standards Portfolios collection of the MYTHOS Engineering Standards Library.
Candidate status describes publication review state. It does not establish certification, legal compliance, implementation conformance, benchmark reproduction, or product readiness.