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Neurolink

Appears in 7 awesome lists

Multi-provider AI agent framework that unifies 12+ LLM providers (OpenAI, Google, Anthropic, AWS, Azure, Groq, etc.) with workflow orchestration. Production-grade platform for building LLM applications with streaming, tool calling, caching, and enterprise features. Battle-tested at 15M+…

Open github.comjuspay/neurolink

Found in these lists

awesome-ChatGPT-repositories

Section: CLIs · Universal AI Development Platform with MCP server integration, multi-provider support, and professional CLI. Build, test, and deploy AI applications with multiple ai providers.

FreshScore 87

awesome-jev

Section: Infra / SDKs / Integrations · Provider abstraction: the pipe layer of an AI nervous system — Juspay's TypeScript interface connecting provider neurons to an application, with decide as a first-class inference type alongside generate and stream.

FreshScore 83

Awesome LLMOps

Section: LLMOps · Multi-provider AI agent framework that unifies 12+ LLM providers (OpenAI, Google, Anthropic, AWS, Azure, Groq, etc.) with workflow orchestration. Production-grade platform for building LLM applications with streaming, tool calling, caching, and enterprise features. Battle-tested at 15M+…

ActiveScore 75

Awesome Machine Learning

Section: Python · Enterprise-grade LLM integration framework for building production-ready AI applications with built-in hallucination prevention, RAG, and MCP support.

FreshScore 93

Awesome MLOps

Section: Machine Learning Platform · TypeScript-first multi-provider AI agent framework with workflow orchestration and MCP support.

FreshScore 80

Awesome AI Agents: Tools, Resources, and Projects

Section: Frameworks · TypeScript-first agent framework with multi-step agentic loops, tool execution control, persistent memory (Redis/SQLite/S3), HITL workflows, MCP client integration, and 13 LLM providers. Production-proven at enterprise scale.

SlowScore 68

Awesome MCP Servers

Section: Category: AI Services ()

FreshScore 78

LiteLLM

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

Dify

February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…

In 14 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

PydanticAI

June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…

In 12 listsDetails

Phoenix

Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…

In 10 listsDetails

Langfuse

The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.

In 10 listsDetails

PraisonAI

Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM applications, emphasizing customization and ease of human-agent interaction github | demo | website

In 9 listsDetails