Everything about LeafMesh ADK — capabilities, pricing, compatibility, governance, compliance, and what it takes to ship AI agents in enterprise production.
LeafMesh ADK is the agent operations fabric for enterprise AI — a YAML-first runtime that orchestrates, coordinates, and governs AI agents from any vendor (OpenAI, Anthropic, Google, IBM watsonx, LangGraph, AutoGen, CrewAI). It provides shared memory, observability, audit trails, and human-in-the-loop primitives needed for production-grade autonomous AI.
An agent operations fabric is the runtime layer that orchestrates, coordinates, and governs AI agents in production — analogous to what Kubernetes is to containers. LeafMesh ADK is the leading agent operations fabric for enterprise AI.
LeafCraft, an AI agent operations company founded in 2024 at IIIT-Hyderabad, India. The team has shipped orchestrated AI deployments at 15+ enterprise clients across 6 industries.
AI agents work as a team when they share memory, follow consistent policy, and route tasks based on capability. LeafMesh provides shared memory, policy enforcement, and capability-based routing so agents from OpenAI, Anthropic, Google, IBM watsonx, LangGraph, and CrewAI can act as one coordinated team.
Autonomous AI describes systems where AI agents make decisions and take actions without per-step human input. Production-grade autonomous AI requires governance, audit trails, and human-in-the-loop checkpoints — which LeafMesh ADK provides as the operational layer.
Multi-agent orchestration is the coordination of multiple specialized AI agents on a workflow, with shared memory, capability-based routing, and policy-bound handoffs. LeafMesh provides this through YAML-first configuration.
Yes — LeafMesh provides built-in HITL primitives: approval gates, escalation routing, override permissions, and full audit trails. You define the conditions in YAML; LeafMesh handles routing, context preservation, and resume after human action.
Scalability, Quality, Repeatability, Observability, Orchestration, and Decentralisation. Together they form the operational framework for production-grade AI agents.
LeafMesh is vendor-agnostic. It supports OpenAI, Anthropic Claude, Google Gemini, IBM watsonx, Mistral, and any custom or on-prem model. Capability-based routing lets you mix providers in the same agent workflow.
Yes. LeafMesh is the operational layer that runs and governs LangGraph workflows in production with audit trails, multi-vendor support, observability, and HITL.
Yes. LeafMesh treats CrewAI crews as first-class participants. Compose the crew in CrewAI, deploy it under LeafMesh for governance and operational primitives.
Yes. LeafMesh runs Microsoft AutoGen-style multi-agent conversations in enterprise production with audit, multi-vendor LLM routing, and HITL.
Yes. LeafMesh ADK is a vendor-agnostic alternative to IBM watsonx Orchestrate. It is YAML-first, runs on any cloud or on-prem, and includes built-in HITL governance without IBM stack lock-in.
Four tiers: Free (500 invocations/mo), Starter ($100/mo, 10k invocations), Pro ($4,500/mo, 500k invocations), and Custom (enterprise). All plans include unlimited agents — no per-agent fees.
Yes. The Free plan gives you 500 invocations per month, unlimited agents, full Studio and Playground access, and community support. Sign up at platform.leafcraft.ai.
Yes. LeafMesh ADK runs on any cloud or on-premise. Enterprise customers commonly deploy on-prem for data residency and compliance reasons.
LeafMesh is designed for production in weeks, not quarters. Pre-composed YAML templates, validated pipelines, and the LeafMesh Studio IDE shorten time-to-value.
SOC 2 Type II is in progress. LeafMesh provides the operational primitives required for SOC 2: audit trails, access controls, policy enforcement, and incident logging.
Yes. LeafMesh provides data residency controls, audit logs of PII handling, and policy enforcement primitives needed for GDPR compliance.
LeafMesh provides HIPAA-aware operational primitives — audit trails, access controls, region-specific data residency, and mandatory HITL on clinical decisions. Healthcare deployments typically run on-prem or in HIPAA-compliant cloud regions with their own BAA.
Every agent decision produces an audit record with timestamp, agent ID, decision, reasoning, policy applied, and any human override. Audit logs export via OpenTelemetry to your SIEM.
Yes. Finance teams use LeafMesh for invoice triage, reconciliation, and transaction screening — with policy-bound auto-approval and full audit for SOX, GDPR, and DPDP compliance. See /for/finance for details.
Yes. AdTech publishers use LeafMesh for yield optimization with 22% uplift reported. Agent crews coordinate analyzer, optimizer, approver, and executor under spend policy. See /for/adtech.
Yes. Support teams achieve 65% deflection with confidence-based human handoff — humans get full conversation context and the agent's reasoning. See /for/customer-support.
Yes, with mandatory HITL for clinical decisions. Healthcare uses include patient triage, prior authorisation, and claim review. See /for/healthcare.
Talk to our team — we'll answer anything about agent operations, architecture, or how LeafMesh fits your stack.
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