Llm Powered Test Agent

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

LangWatch enables real‑time testing of LLM agents, offering simulation, prompt management, audit trails, and batch testing across models. It integrates with OpenTelemetry, LangChain, LangGraph, and supports self‑hosted, cloud, and role‑based access.

LLM Arena enables users to compare multiple large language models side-by-side, analyzing features like accuracy and capabilities. It supports up to 10 models, facilitating informed decision-making for researchers and developers in selecting the right LLM for their needs.

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

Awan LLM offers unlimited token generation with Meta Llama 3.1 8B and 70B models, no censorship or caps, supporting persistent AI assistance, autonomous agents, roleplay, data processing, and code completion, hosted on owned GPUs for continuous use.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

LLMWizard offers access to multiple AI models like GPT-4o and DALL-E 3, enabling users to automate tasks across coding, legal work, and content creation. The platform supports real-time comparison of AI responses for diverse insights.

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

Openwork is an open-source desktop app that connects 50+ LLMs with team workspaces, shared setups, skills, plugins, and configs. It runs agent workflows and browser automation, integrates with IDEs via a remote MCP server, and lets teams share full workspace configs as one-click links.

BetterClaw is a no-code AI agent builder with a visual editor and 200+ pre-vetted skills, enabling rapid creation of autonomous agents. It offers one-click deployment across 15+ chat platforms, 28+ LLM providers, and built-in security controls like sandboxed containers, encryption, and a kill switch

AgentWorks™ facilitates the development and deployment of AI agents within enterprises, offering interoperability, one-click fine-tuning, compliance validation, performance evaluation, multi-agent workflow orchestration, and a secure infrastructure for various deployment environments.

LLMAPI is a unified OpenAI-compatible LLM gateway offering access to 100+ models across providers, centralized API key management, failover routing, performance and cost analytics, and team-oriented key controls to simplify integration and operations.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

LLM SEO Monitor tracks keyword rankings and AI-generated SERP results across ChatGPT, Claude and Gemini, highlights content gaps and ranking opportunities, provides competitor analysis, automated alerts, exportable reports and API integrations for workflow automation.

TradingAgents is a multi-agent LLM framework that orchestrates specialized AI agents for algorithmic trading research and development. It enables backtesting, model comparison across top LLMs, and structured decision logging for quantitative trading workflows.

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

Inception Labs' diffusion-based large language models (dLLMs) offer faster, more efficient, and cost-effective text generation than traditional autoregressive models. With built-in error correction, multimodal support, and structured output control, they excel in function calling and complex data ge

NotebookLM is an AI-powered research assistant designed to help users summarize and connect information from sources like PDFs, websites, videos, and audio. It offers detailed insights, citations, and an 'Audio Overview' feature for on-the-go engagement.

Upstage AI delivers enterprise LLMs and document-processing tools: low-latency and Japan-specific models, PDF/OCR parsing, structured information extraction, centralized search and Q&A with citations, REST/AWS/on‑prem deployment, and team collaboration for review.

LLM Selector filters open‑source large language models by use case—chatbots, content, code, summarization, research—while presenting benchmarks, training data, architecture, and deployment details. The interface updates regularly to aid researchers, developers, and product managers in data‑driven mo

OmniRoute is an open-source AI gateway that routes requests to 236 LLM providers via a single /v1 endpoint, offering multi-provider routing with auto-fallback, token compression, persistent memory, resilience controls, MCP/A2A support, and self-hosted analytics.

Portkey is an LLMOps platform offering a unified API and model catalog with observability, guardrails, RBAC, audit logs, prompt management, caching, routing and PII redaction to simplify multi-model integration, governance, monitoring, and cost optimization.

AdeptLR uses AI to adapt LSAT Logical Reasoning and Reading Comprehension practice in real time, targeting individual weak spots. It includes all LSAC PrepTests, offers detailed analytics, a digital notepad, timed simulations, and customizable drill settings.

LastMile AI is a platform that perceives, remembers, and reasons from vision, speech, and text using LLMs as CPU and context as RAM. It connects to tools, automates workflows, anticipates needs, and surfaces actionable insights for teams and organizations.

Opencomputer is a scalable, on-demand compute platform for LLM agents and AI workloads, combining VM-level isolation with sandboxed execution. It supports type-1 ephemeral sandboxes for fast cold-starts (~100ms) and type-2 persistent sandboxes for long-running agent sessions with state preservation

Orq.ai is a generative AI collaboration platform for building, evaluating, and deploying LLM applications. It provides an agent runtime for multi-agent workflows, secure model gateway, RAG-enabled knowledge base, monitoring, evaluation tools, APIs, and governance controls.

Open‑source AI code‑review platform that plugs into GitHub, GitLab, Bitbucket, and Azure DevOps at the pull‑request level. Model‑agnostic, it runs custom rule sets, tracks technical debt, and delivers real‑time metrics without storing source code.

LLM Pricing MCP Server exposes real-time model metrics — token rates, benchmarks, latency, and endpoint availability — inside MCP-enabled assistants, with tools to filter, compare, and rank models for cost- and performance-aware selection and provider compatibility checks.

LlamaIndex enables efficient development of AI knowledge assistants for enterprise data management, allowing users to parse complex documents and integrate various data sources, ultimately streamlining workflows and optimizing knowledge management across multiple sectors.

Simulation-driven platform that evaluates and monitors AI agents across modalities with realistic multi-turn scenarios, CI/CD-integrated automated tests, configurable safety/policy guardrails, and analytics for failures, hallucinations, and performance to ensure production readiness.

commandcode.ai is a developer-centric CLI tool for interacting with multiple large language models, managing sessions with sliding-window memory, and automating long-running AI workflows. It supports model switching, vision tasks, background shell operations, and persisted, resumeable sessions for r

Confident AI is an evaluation platform for assessing large language models, enabling benchmarking, unit testing, and A/B testing. It streamlines dataset management and monitoring, ensuring optimal performance and alignment with benchmarks for LLM applications.

Latitude offers end‑to‑end observability for LLM deployments, recording inputs, outputs, and context. It enables manual annotations, automated error grouping, continuous evaluation, and prompt optimization with GEPA. OTEL telemetry and SDK integrations support major model providers.

Langbase offers a serverless platform for building, deploying, and scaling AI agents. It unifies access to 600+ LLMs, provides built‑in memory, vector, and file storage, and supports durable multi‑step workflows with monitoring and custom actions.

Momentic is an AI-powered testing tool that generates and maintains end-to-end and regression tests from UI flows and user stories, runs cross-browser parallel suites, detects flaky tests, performs visual regression checks, and provides failure analysis and quality analytics.

Llama is a local AI tool that enables users to create customizable and efficient language models without relying on cloud-based platforms, available for download on MacOS, Windows, and Linux.

SurfSense is an open-source team collaboration tool built as an alternative to NotebookLM, connecting LLMs to internal knowledge sources for real-time chat, research, and workflow automation with cited answers.

BrandJet AI is a real-time brand monitoring platform that uses AI sentiment analysis to detect reputation risks and prioritize conversations. It then converts these mentions into multi-channel outreach campaigns and aggregates all messages into a unified, AI-prioritized inbox.

Aleph Alpha offers specialized large language models built on EU infrastructure, trained on domain‑specific data for legal, administrative, industrial, and scientific use. It ensures data sovereignty, compliance, and real‑time workflow integration for secure AI in public, manufacturing, and defense

Agent is a no‑code AI builder that lets users create and deploy web apps, Discord bots, and workflow automations by stacking visual blocks. It supports web search, HTTP requests, and multiple LLM chains, enabling rapid prototyping and sharing.

ZeroTrusted.ai's LLM Firewall safeguards sensitive data during large language model usage. It combines anonymity, security features like ZTPolicyServer, and accuracy optimization to maintain privacy and mitigate data exposure risks.

Lyzr is an AI agent platform for rapid deployment of agents in banking, insurance, HR, marketing, sales, and support. It provides secure private runtime, audit trails, and an intuitive Agent Studio that builds agents using integrated knowledge graphs and bases.

Neo AI engineer is an autonomous agent that automates building, evaluating, and deploying ML models, LLMs, and RAG pipelines. It manages experiments, fine-tuning, and multi-step workflows, producing versioned artifacts with full evaluation and benchmarking across vendors.

llmule is a decentralized network that enables users to run AI models locally, ensuring data privacy. It offers a library of community-shared models, promoting flexibility and collaboration while eliminating reliance on cloud services.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co