README.md

metadata

title: AgentMesh — AI Agent Cost Savings Calculator
emoji: 🕸️
colorFrom: indigo
colorTo: blue
sdk: gradio
python_version: '3.11'
app_file: app.py
pinned: true
license: apache-2.0
tags:
  - ai-agents
  - llm
  - cost-optimization
  - governance
  - enterprise
  - langgraph
  - crewai
  - openai-agents
  - anthropic
  - token-budget

AgentMesh — AI Agent Governance & Cost Savings Calculator

The governance plane for AI agents — policy, budget, and audit across every framework.

This Space demonstrates how AgentMesh reduces AI agent costs by 60–90% in enterprise deployments.

What is AgentMesh?

AgentMesh is an open-source framework-agnostic sidecar that enforces:

• Token Budget Enforcement — Hard limits, no surprise bills
• Dynamic Model Routing — Auto-route to cheaper models as budget is consumed
• Semantic Caching — Cache near-duplicate queries (10–40% savings)
• Circuit Breaker — Kill runaway loops before they drain budgets
• Tamper-Evident Audit Trail — Ed25519-signed compliance for EU AI Act, HIPAA, SOC 2
• Policy-as-Code — YAML governance enforced at runtime, not post-hoc

Usage

pip install agentmesh-proxy

from agentmesh import AgentMesh
from agentmesh.policy.engine import Policy

mesh = AgentMesh(policy=Policy.from_yaml("policy.yaml"))
governed_graph = mesh.wrap_langgraph(your_graph)

GitHub

github.com/anilatambharii/agentmesh