Browse the directory

Hosted LLM Pulse MCP server for AI visibility analytics, brand mentions, citations, sentiment, share of voice, recommendations, GEO Writer, and AI traffic workflows.

Expert validation skill for reviewing /llms.txt, search discovery artifacts, canonical signals, structured data, and LLM-ready documentation links.

A practical guide to instrumenting LLM and agent applications with traces, metrics, logs, GenAI semantic attributes, sampling, and privacy-aware redaction so teams can debug model calls, tool use, retries, and cost.

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

Open-source semantic cache for LLM applications that stores and reuses model responses through embedding similarity to cut API cost and latency, with modular embedding, vector-store, cache-storage, and eviction components.

Open-source suite of development tools from Microsoft for building LLM applications end to end — create executable flows that link LLMs, prompts, Python, and tools, trace and debug them, evaluate quality against datasets in CI/CD, and deploy to a serving platform.

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Open-source domain-specific language from BoundaryML for writing typed LLM functions with structured inputs and outputs, a VSCode playground, and generated clients you can call from Python, TypeScript, Go, and more.

Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.

Open-source Python library from dottxt for structured LLM generation, guaranteeing outputs that match a JSON schema, Pydantic model, regex, grammar, or multiple-choice set during generation across many model backends.

Open-source AI gateway from Portkey for routing to 1600+ LLMs through one OpenAI-compatible API, with automatic retries, fallbacks, load balancing, conditional routing, guardrails, caching, and observability, self-hostable via npx, Docker, or edge deployments.

Open-source visual AI programming environment from Ironclad for building, debugging, and embedding complex LLM agents and prompt-chaining graphs, with a desktop app and a TypeScript library.

Inspect LLM traces and spans, manage prompts, explore datasets, and review evaluation experiments from Claude — with the official Arize Phoenix MCP server, built into the open-source Phoenix AI observability platform.

Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.

Analyze distributed traces and LLM observability data from Claude — search traces and spans, find errors, list services, analyze LLM token usage, identify slow LLM operations, and discover AI model usage patterns — with the OpenTelemetry MCP server supporting Jaeger, Grafana Tempo, and Traceloop backends.

Debug, evaluate, and monitor LLM applications from Claude — read traces and spans, score outputs, save prompts, run evaluation experiments, and query project metrics — with the official Opik MCP server by Comet.

Official Brave Search MCP server for giving Claude web, local, place, image, video, news, LLM context, and summarizer search tools backed by the Brave Search API.

Open-source framework from OpenAI for evaluating LLM and agent behavior with reusable eval definitions, grading logic, datasets, and regression workflows.

Open-source LLMOps platform for prompt management, prompt versioning, evaluation, and observability across LLM applications.

Source-backed Claude agent prompt for using the Allways agent quickstart, live dashboards, API docs, and open source repo in a read-only-first workflow.

Open-source Python framework for building real-time voice and multimodal conversational agents, orchestrating speech-to-text, LLM, text-to-speech, voice activity detection, and transports as a composable pipeline with pluggable providers.

Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.

Local-first AI application for private chat, document RAG, workspace agents, MCP-compatible tools, model routing, memories, scheduled tasks, multimodal workflows, multi-user Docker deployments, and self-hosted agent automation.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Open-source agent engineering framework for building LLM applications with agents, model abstractions, tools, middleware, RAG, streaming, memory, MCP adapters, LangGraph-backed execution, and LangSmith observability hooks.

Idiomatic Java/JVM library for building LLM-powered applications with unified model APIs, tool calling, agentic workflows, RAG, chat memory, embedding stores, MCP client support, and Spring Boot, Quarkus, Helidon, and Micronaut integrations.

Open-source framework for building realtime voice, video, and multimodal AI agents with LiveKit rooms, STT, LLMs, TTS, job scheduling, telephony, MCP tools, testing, and production deployment paths.

Apache-2.0 security scanner from NVIDIA for AI agent skills, with static pattern checks, optional LLM semantic analysis, MCP least-privilege and tool poisoning analyzers, OSV.dev vulnerability lookups, risk scoring, and terminal, JSON, Markdown, and SARIF reports.

The official Render MCP server lets LLMs manage Render resources: create and manage web services, static sites, cron jobs, Postgres and Key-Value instances, monitor deploys, query logs and metrics, and run read-only SQL against Render Postgres.

Local-first codebase intelligence MCP server that indexes repositories with tree-sitter, stores searchable chunks in DuckDB, and gives Claude semantic search, regex search, daemon status, and deep code research tools.