AI · Agents & Infrastructure — Useful Sites

Awesome Claude Code

2026-09-18T00:00:00Z

A resource list for Claude Code, Anthropic’s terminal-based coding assistant. Unlike the official docs, it gathers community-shared slash commands, hooks and CLAUDE.md examples.

https://github.com/hesreallyhim/awesome-claude-code

Awesome Copilot Agents

2026-09-18T00:00:00Z

A resource list of agents for Copilot, GitHub’s AI pair-programming assistant. Unlike general Copilot tips, it focuses on ready agent definitions and custom instruction files.

https://github.com/Code-and-Sorts/awesome-copilot-agents

Awesome Firebase Genkit

2026-09-18T00:00:00Z

A resource list for Genkit, the open-source framework for building AI-powered features. Unlike frameworks such as LangChain, it integrates tightly with Firebase and Google Cloud and ships a local developer UI.

https://github.com/xavidop/awesome-firebase-genkit

Awesome Gemini CLI

2026-09-18T00:00:00Z

A resource list for Gemini CLI, Google’s terminal-based coding assistant. Unlike Claude Code lists, it gathers extensions, MCP configurations and workflows specific to Google’s tool.

https://github.com/Piebald-AI/awesome-gemini-cli

Bernstein

2026-09-10T20:53:20Z

An open-source governance layer for AI agents that enforces rules and limits on what agents may do. Unlike agent frameworks it is about control: it does not build the agent, it constrains a built agent’s actions with policy and logs them.

https://github.com/sipyourdrink-ltd/bernstein

Tongyi DeepResearch

2026-09-10T20:53:20Z

Alibaba’s open-source “deep research” agent model that runs multi-step web research on its own. Unlike chat LLMs it is an agent: rather than a single reply it calls tools and browses sources to carry a long research task from start to finish.

https://github.com/Alibaba-NLP/DeepResearch

PromptLayer

2026-08-21T20:53:20Z

A platform for versioning, logging and evaluating LLM prompts, so you can trace which prompt produced which output. Unlike general APM tooling it treats the prompt as a first-class object, separating prompt changes from code deploys.

https://promptlayer.com/

whisper.cpp

2026-08-21T20:53:20Z

A dependency-free C/C++ port of OpenAI’s Whisper speech recognition model that runs at a reasonable pace even on CPU. Against the Python original there is no install burden and it compiles to a single binary — small enough for embedded targets.

https://github.com/ggml-org/whisper.cpp

last30days

2026-08-19T22:59:37Z

A skill sweeping the last thirty days of Reddit, X and YouTube on a topic. Unlike a general web search it focuses only on recent community discussion — aimed at the gap between a model’s training cutoff and today.

https://github.com/mvanhorn/last30days-skill

Agno

2026-08-17T20:53:20Z

An agent framework with memory, tools and knowledge base built into the core. Unlike frameworks such as LangChain there is no extra abstraction layer: agent instantiation lands in the microsecond range, which keeps it light with many agents.

https://www.agno.com/

Arize Phoenix

2026-08-17T20:53:20Z

An LLM tracing and evaluation tool that runs inside a notebook and renders traces locally. Unlike tracing tools that need a server, it stays local and visualises the embedding space, so you find the source of a retrieval failure by looking at clustering.

https://phoenix.arize.com/

AWS Bedrock Agents

2026-08-17T20:53:20Z

Agent definition, tool schema and knowledge base are configured in the AWS console, and AWS runs the runtime. Unlike self-operated frameworks such as LangGraph there is no infrastructure to run; the price is fitting the flow into AWS’s shape.

https://aws.amazon.com/bedrock/agents/

AWS Bedrock Guardrails

2026-08-17T20:53:20Z

Content filters, denied-topic lists and PII redaction. Unlike libraries you run yourself such as NeMo Guardrails it is a managed service, and it can be applied as a standalone API to models outside Bedrock too.

https://aws.amazon.com/bedrock/guardrails/

AWS Strands Agents

2026-08-17T20:53:20Z

AWS’s open-source agent SDK. Unlike frameworks such as LangGraph where you wire the flow, you hand the model a tool list and let it plan; less code to write, at the cost of harder tracing when you need to see where a decision came from.

https://strandsagents.com/

Azure AI Content Safety

2026-08-17T20:53:20Z

A classifier scoring text and images across four harm categories with severity levels. You set the thresholds yourself — an alternative to training your own moderation model.

https://azure.microsoft.com/products/ai-services/ai-content-safety

Azure AI Foundry

2026-08-17T20:53:20Z

Model catalogue, agent service, evaluation and content filtering in one portal. Rather than assembling these from separate services, it offers a stack gathered for enterprise deployments that need compliance and region control.

https://learn.microsoft.com/azure/ai-foundry/

Azure OpenAI Service

2026-08-17T20:53:20Z

OpenAI models with Azure’s region selection and private networking. Unlike OpenAI’s own API you gain that compliance; the price is that new model versions arrive here later.

https://learn.microsoft.com/azure/ai-services/openai/

CAMEL-AI

2026-08-17T20:53:20Z

A research framework for societies of role-playing agents steering each other. Suited to scaled experiments and synthetic data generation, not to production plumbing.

https://www.camel-ai.org/

Composio

2026-08-17T20:53:20Z

Ships ready tool definitions and delegated OAuth for a thousand-odd apps. Instead of writing auth per SaaS, you hand the authorisation off to it.

https://composio.dev/

CrewAI

2026-08-17T20:53:20Z

You give each agent a role, goal and backstory; tasks are dispatched sequentially or hierarchically. Conceptually simple, but it gives less fine control over flow than LangGraph.

https://www.crewai.com/

DSPy

2026-08-17T20:53:20Z

You do not write prompt text — you declare input/output signatures and supply examples, and an optimiser generates the prompts and few-shot demonstrations. Unlike prompt-template frameworks, it hands prompt tuning to a compiler.

https://dspy.ai/

FastMCP

2026-08-17T20:53:20Z

Decorate a function and it becomes an MCP tool, with the schema derived from type hints. Unlike the raw official SDK, it erases nearly all the boilerplate you would hand-write.

https://gofastmcp.com/

GitHub MCP Server

2026-08-17T20:53:20Z

The official server exposing repo, issue, PR and Actions operations as tools. Unlike community servers it is maintained by GitHub itself, with fine-grained permission scopes, so you can hand an assistant read-only access.

https://github.com/github/github-mcp-server

Guardrails AI

2026-08-17T20:53:20Z

Runs output through a chain of schemas and validators, retrying or repairing on failure. Unlike NeMo Guardrails, which governs the dialogue flow, it polices the shape and content of the generated text.

https://www.guardrailsai.com/

Helicone

2026-08-17T20:53:20Z

An LLM observability tool: change the base URL and requests are logged as they pass through. Unlike tracers that need SDK integration it works as a proxy, so it bolts onto an existing project without code changes.

https://www.helicone.ai/

Lakera Guard

2026-08-17T20:53:20Z

An API focused on prompt injection and jailbreak detection. Unlike general content filters, it is fed by real attack data harvested from its gamified Gandalf experiment.

https://www.lakera.ai/

LangChain

2026-08-17T20:53:20Z

Wraps model, vector store and tool providers behind common interfaces. Compared with thinner frameworks its strongest card is the integration count; the thickness of the abstraction layer is the most frequent complaint.

https://www.langchain.com/

LangChain Agents (öğretici)

2026-08-17T20:53:20Z

The official walkthrough of defining tools, binding a model and wiring the loop. Unlike conceptual explainers it proceeds in running code — the shortest way to see how the tool-calling protocol actually works.

https://python.langchain.com/docs/tutorials/agents/

Langfuse

2026-08-17T20:53:20Z

Framework-agnostic LLM tracing and evaluation, OpenTelemetry-compatible. Unlike hosted services such as LangSmith you can self-host it, so prompt and response data never leaves your infrastructure.

https://langfuse.com/

LangSmith

2026-08-17T20:53:20Z

Shows input, output, latency and token count for every chain step separately. Not tied to LangChain, though that is where the integration is tightest.

https://smith.langchain.com/

LlamaIndex Workflows

2026-08-17T20:53:20Z

An async runtime where steps emit and listen for events. Instead of building a graph you mark functions with `@step`, and parallel branches fall out naturally.

https://docs.llamaindex.ai/en/stable/module_guides/workflow/

MCP Registry

2026-08-17T20:53:20Z

The official MCP server registry. Rather than scattered GitHub lists, it offers one machine-readable source, which lets clients automate installation.

https://registry.modelcontextprotocol.io/

MCP Sunucu Koleksiyonu

2026-08-17T20:53:20Z

Reference MCP servers for tools such as filesystem, Git and fetch. Unlike third-party servers in the registry, these are written by the protocol’s authors as examples — a quick read before writing your own.

https://github.com/modelcontextprotocol/servers

Microsoft Agent Framework

2026-08-17T20:53:20Z

The new line merging AutoGen’s experimental side with Semantic Kernel’s enterprise side. Unlike either one alone it combines both, and arrives pre-wired to Azure identity and monitoring.

https://learn.microsoft.com/en-us/agent-framework/

Microsoft AutoGen

2026-08-17T20:53:20Z

Agents solve tasks by talking in a group chat, with a manager agent deciding who speaks next. Unlike graph-based frameworks such as LangGraph the flow is a conversation; research-rooted, so the API can shift sharply between versions.

https://microsoft.github.io/autogen/

Microsoft Presidio

2026-08-17T20:53:20Z

Detects and redacts personal data — national IDs, IBANs, emails — in text and images, with customisable recognisers. Unlike cloud PII services it is open source and runs locally — for the anonymisation step before data reaches a model.

https://microsoft.github.io/presidio/

Model Context Protocol

2026-08-17T20:53:20Z

An open protocol over JSON-RPC for exposing tools and data sources to models. Unlike writing a plugin per model, you write the server once and any MCP-speaking client can use it.

https://modelcontextprotocol.io/

NeMo Guardrails

2026-08-17T20:53:20Z

You declare permitted conversation flows in a DSL called Colang. The control sits in the dialogue’s trajectory rather than the output text, cutting topic drift at the entrance.

https://github.com/NVIDIA/NeMo-Guardrails

OpenAI Agents SDK

2026-08-17T20:53:20Z

Settles for four concepts: agents, tools, handoffs and guardrails, with tracing built in. Compared with frameworks such as LangGraph, the learning curve is far shallower.

https://openai.github.io/openai-agents-python/

Prisma AIRS (Protect AI)

2026-08-17T20:53:20Z

Scans model files for malicious payloads — because pickle deserialisation can execute arbitrary code, a downloaded checkpoint is a real attack surface. Unlike classic malware scanners it understands these model formats; Protect AI joined Palo Alto Networks in 2025 and the product now lives under Prisma AIRS.

https://protectai.com/