Search Results for "Observability Open Source & DevTools"
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Showing 10 open source projects for "Observability Open Source & DevTools"
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Bifrost
The Fastest LLM Gateway with built in OTel observability
Bifrost is an LLM gateway designed to provide a unified OpenAI-compatible API front for many different model providers. It abstracts away the complexity of working directly with multiple backend providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, etc.), enabling you to plug in providers and switch between them without touching your client code. It is built to be high performance: in benchmark tests at 5,000 requests per second, it reportedly adds only microseconds of overhead and... -
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Coze Loop
Next-generation AI Agent Optimization Platform
...Designed as an extensible open-source framework, Coze Loop helps teams move beyond ad-hoc prompt experiments toward structured, production-ready AI agent operations. -
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GoClaw
GoClaw is OpenClaw rebuilt in Go
GoClaw is an enterprise AI agent platform that rebuilds OpenClaw in Go for stronger concurrency, simpler deployment, and production-oriented multi-agent orchestration. It acts as a gateway that connects language models to tools, channels, memory, and organizational data through a single binary. The platform is built for teams that need multiple agents to collaborate, delegate tasks, and operate across different providers without losing tenant isolation. It supports more than 20 LLM providers... -
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Envoy AI Gateway
Manages Unified Access to Generative AI Services
Envoy AI Gateway is an open-source gateway system designed to manage network traffic between applications and generative AI services using the Envoy proxy ecosystem. The project extends Envoy Gateway to support AI-specific workloads, enabling organizations to route, secure, and scale requests to large language models and other generative AI services. In a typical deployment, the architecture uses a two-tier gateway model where an outer gateway handles authentication, routing, and global rate limiting while a second gateway manages traffic to self-hosted model serving clusters. ... -
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.
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MCP Toolbox for Databases
Open source MCP server that exposes database tools for AI agents
GenAI Toolbox, also known as MCP Toolbox for Databases, is an open source server designed to simplify how generative AI applications interact with databases. It provides a central service that exposes database operations as reusable tools that can be consumed by AI agents and developer workflows. It handles common infrastructure concerns such as authentication, connection pooling, and performance optimization so developers do not have to implement them individually in each application. ... -
6
Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also... -
7
AgentField
Build and run AI agents like microservices
AgentField is an open-source control plane designed to run AI agents as production-grade backend services, applying cloud-native principles similar to Kubernetes to the world of autonomous software. Instead of treating agents as isolated scripts or prototypes, the system elevates them to first-class infrastructure components that can be deployed, orchestrated, and managed at scale across distributed environments. Developers define agents as typed functions, and the platform automatically... -
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kgateway
The Cloud-Native API Gateway and AI Gateway
kgateway is a mature, cloud-native API and ingress gateway designed to provide unified API connectivity for services, microservices, serverless workloads, and AI-centric systems running on Kubernetes clusters. It implements the Kubernetes Gateway API and can operate as both a lightweight in-cluster microgateway and a centralized gateway capable of handling billions of API calls with high performance and low latency. By integrating with Envoy and advanced data planes, it handles modern... -
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kagent
Kubernetes native framework for building AI agents
Kagent is a Kubernetes-native framework for building, deploying, and operating AI agents as first-class cloud-native workloads. It models core agent concepts declaratively using Kubernetes custom resources, so teams can manage agents similarly to other platform components via YAML, controllers, and standard cluster workflows. In kagent’s design, an “Agent” represents a system prompt plus a set of tools and other agents, along with an LLM configuration, making the agent definition portable... -
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10
HasMCP
Convert API into MCP Server in seconds
HasMCP empowers AI development by seamlessly connecting your existing APIs to Large Language Models. Its Automated OpenAPI Mapping instantly translates API documentation into LLM-usable tools, eliminating manual coding. Security is paramount, with Native MCP Elicitation Auth managing complex authentication flows like OAuth2, ensuring user credentials are never exposed. To enhance efficiency, Context Window Optimization intelligently prunes API responses using JMESPath and Goja (JS) logic,...
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