Search Results for "agent"
Sort By:
Showing 11 open source projects for "agent"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Agent Stack
Deploy and share agents with open infrastructure
...It also offers multi-model, multi-provider support (OpenAI, Anthropic, Gemini, IBM WatsonX, Ollama etc.), letting users compare performance and cost across models. For developers and organizations building AI-agent products or automations, Agent Stack gives a scaffold that handles the “plumbing”, so they can focus on logic and domain. -
2
agentgateway
Next Generation Agentic Proxy for AI Agents and MCP servers
Agentgateway is an open-source “data plane” built specifically for agentic AI connectivity, focusing on how agents talk to other agents and to tools across different frameworks and environments. It presents itself as a complete connectivity solution that adds drop-in security, observability, and governance to agent-to-agent and agent-to-tool communication without requiring you to rebuild your agent stack. The project supports interoperable protocols designed for this ecosystem, including Agent2Agent (A2A) and Model Context Protocol (MCP), which helps standardize how tools and agents interoperate. It is designed for performance and scale, implemented in Rust and engineered to handle large throughput and multi-tenant deployments. ... -
3
Gate22
Open-source MCP gateway and control plane for teams
Gate22 is an open-source governance and control plane for Model Context Protocol (MCP) environments that helps teams define and enforce policies about which tools and capabilities AI agents can access, how they can interact with those tools, and how usage is logged and audited. It provides a centralized layer where organizations can configure permission boundaries, role-based access, and operational constraints that govern agent behavior and tool invocation across agentic IDEs or custom agent stacks. By integrating with MCP-aware systems, Gate22 helps maintain security and compliance while enabling teams to scale agent-enabled workflows without losing observability into what actions are taken and why. It can be used to enforce fine-grained policies that restrict dangerous or unauthorized operations, track which agents are calling which tools, and record metadata for auditing and debugging. -
4
Obot MCP Gateway
Hosting, Registry, Gateway, and Chat Client
...It also supports building richer agents and chatbots that can leverage MCP servers while keeping operations manageable for IT and platform teams. The platform is designed to work with a variety of workflows and clients, so MCP servers managed inside Obot can be used by automation/agent frameworks as well as popular chat clients that speak MCP. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
Microsoft MCP Gateway
MCP Gateway is a reverse proxy and management layer for MCP servers
...It also includes local and Azure deployment recipes, making it straightforward to try on a laptop and then promote to cloud infrastructure. Core concepts—like session routing, server pools, and pluggable policies—are documented to help teams reason about stateful agent sessions at scale. By standardizing discovery and control, it reduces operational toil and improves reliability for agent platforms built on MCP. -
6
Portkey AI Gateway
A blazing fast AI Gateway with integrated guardrails
...It also offers features for governance: role-based access, compliance with standards (SOC2, HIPAA, GDPR), secure key management, and logging/analytics of usage, latency, errors, and cost. The system integrates with agent frameworks like LangChain, Autogen, and others, enabling the building of more complex AI applications. It’s lightweight and optimized for low latency with a small footprint. -
7
Peta Core
Secure vault, managed runtime, audit trail, and policy-based approvals
...It typically encompasses core abstractions, protocols, and utilities that other modules in the PETA ecosystem can build upon, offering patterns for service discovery, messaging, workflow orchestration, and plugin integration. PETA-Core may include frameworks for managing agent lifecycles, standard interfaces for connectors, and support for consistent configuration across components, making it easier to assemble complex, multi-part applications with clear boundaries and reusable logic. The project’s core role is to reduce integration friction for developers by establishing conventions and shared libraries that accelerate development in distributed, AI-augmented contexts. -
8
Kong Konnect MCP
A Model Context Protocol server for interacting with Kong Konnect
MCP Konnect is a Model Context Protocol (MCP) server implementation that enables AI assistants and agents to interact with Kong Konnect, the API management and gateway platform from Kong. This server exposes Kong Konnect’s APIs through standardized MCP interfaces so that tools like conversational AI or agent systems can query analytics, inspect configuration, and manage Kong Gateway resources using natural language or programmable agents. By bridging MCP clients to Kong’s control plane, the project allows autonomous agents to retrieve data on traffic metrics, route definitions, services, plugins, and consumer settings without writing custom API integration code. ... -
9
kgateway
The Cloud-Native API Gateway and AI Gateway
...Beyond standard API traffic, kgateway also supports gateway patterns tailored for large language model (LLM) consumption, inference routing, and Model Context Protocol (MCP) orchestration, enabling secure access to models, tools, and agent interactions. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
10
MCPJungle
Self-hosted MCP Gateway and Registry for AI agents
MCPJungle is a self-hosted gateway and registry for the Model Context Protocol (MCP), aimed at managing tool/integration servers for AI agents within organizations. It offers a “single source of truth” registry where developers can register MCP servers and the tools they provide, and MCP clients (such as AI agents) discover and consume those tools through one gateway endpoint. This greatly simplifies the architecture when you have many MCP servers; agents only need to connect to one gateway... -
11
Unla
Gateway service that instantly transforms existing MCP Servers
Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance...
- Previous
- You're on page 1
- Next
