01
Authority outside the model
Models propose. Maple identities, capabilities, policy, approvals, and deterministic services decide what may happen.
Maple AI OS
Maple AI OS
The accountable operating system for AI agents that act — any model, every action provable.
Run GPT, Claude, Gemini, Hermon, or local models. Maple keeps identity, memory, permissions, deterministic execution, and signed receipts under durable operating authority — local-first and provider-independent.
Any model, local-first
Deterministic authority
Open protocols
Signed, verifiable receipts
Maple Brain Lab · DOGMA
Genomic organization as a new computing architecture
Evo Trainer develops DOGMA, the DNA-Organized Genomic Model Architecture: a compact research model built around genomic embeddings, regulation gates, structured memory, and evidence-gated evolution.
Checkpoint101
Parameters29.83M
Quality gateEvaluating
The Maple Niche
Frontier models supply intelligence. Maple supplies durable control.
Frontier labs keep shipping better models. Maple wins the layer they don't: portable, accountable, and verifiable operation across providers and over time — with an owned local engine, signed receipts, and Proof of Contribution for trustworthy distributed AI work.
02
Continuity across model changes
Change a provider without losing agent identity, user-owned memory, schedules, policy history, receipts, or rollback state.
03
Open ecosystem, governed edges
Connect MCP tools, A2A agents, OpenAI-compatible models, enterprise APIs, and local services behind the same capability boundary.
The Operating Loop
Intelligence moves fast because authority stays deterministic
Maple turns probabilistic model output into typed, authorized, provable, reversible system change.
1
Propose
An engine (local Hermon, llama.cpp, Ollama, or cloud) drafts a typed proposal; a deterministic planner is the safe fallback.
2
Authorize
Guard validates and the fail-closed Kernel authorizes by identity, capability, policy, and approvals.
3
Execute
A deterministic executor performs only the authorized consequence — the LLM never executes.
4
Prove
WorldLine seals a signed, hash-chained receipt; other nodes independently verify it.
5
Evolve
Evals gate promotion; a reputation-weighted quorum and Proof of Contribution reward verified work and slash dishonest verifiers.
MapleAI Ecosystem
One OS, a focused AI ecosystem
Maple AI OS is the common authority layer. Hermon supplies local inference, Wish supplies coding agents, and Maple DNA and OpenIBank prove the OS in demanding domains.
Authority and continuityMaple AI OS
The accountable AI operating system for identities, capabilities, memory, policy, deterministic execution, receipts, and evolution.
Inference engineHermon
Maple's owned inference engine: an always-available embedded floor plus a high-performance GGUF server running local models like Qwen2.5-7B.
Research trainingDOGMAQuality-gated DOGMA training, evaluation, checkpoints, and research serving from Maple Brain Lab.
Coding agentWishThe coding-agent experience, governed by the Maple AI OS.
DNA computing stackHermon DNAA simulation-first DNA computing stack, guarded by the Maple AI OS.
Financial OS distributionOpenIBankFinancial workflows powered by Maple-governed models and Maple commitment controls.
Open Interoperability
Keep the best of every AI platform without surrendering control
Maple is not another frontier model or agent framework. It is the stable operating boundary around them.
GPT · Claude · Gemini · Hermon · LocalModels
Route by quality, privacy, latency, cost, and policy.
Maple model policyMCP · native drivers · enterprise APIsTools
Expose only explicit capabilities with scoped credentials.
Maple capability gateA2A · Wish · custom agentsAgents
Give every agent identity, schedule, memory, and health.
Maple agent controlCloud · edge · local · regulated systemsExecution
Separate cognition from deterministic consequence.
WorldLine receiptsAcademy
Domain knowledge for builders, operators, and researchers
The MapleAI Academy turns OS design, DNA computing, finance operations, and coding-agent practice into lessons, labs, output contracts, and model-evaluation targets.
AI-native OS
How Maple keeps authority outside every model.
Open courseHermon DNA
DNA encoding, BERT, DNABERT, simulation, and safety.
Open courseHermon Finance
OpenIBank risk, reconciliation, audit, and approval gates.
Open courseHermon Code
Wish coding agents, repository patches, tests, and rollback.
Open courseAI OS Demos
See Maple AI OS drive real domains
Each domain has a narrow job. Maple AI OS supplies shared authority, receipts, and evolution; the Hermon engine supplies local inference.
LiveOS Operations
Plans OS-level agent actions as proposals that Maple can authorize, execute, and record.
Maple AI OSLiveCode AgentPowers repository changes, code review, CI repair, and deployment plans for Wish.
WishLiveDNA ComputingExplains DNA-computing workflows, experiment plans, and safety gates under Maple governance.
Maple DNALiveAgent FinanceSupports OpenIBank analysis, policy explanation, and auditable financial workflows.
OpenIBankUse the best AI. Keep your operating authority.
Start with one governed agent, one capability boundary, and one receipt trail. Expand without tying your operating system to a single model provider.