LiveKit
4.5Open-source framework and developer platform for building voice, video and physical AI agents, with turn detection and interruption handling, an inference gateway for STT, LLM and TTS models, telephony and observability.
Our highest-rated AI Infrastructure & Agent Tooling AI tools are Ollama, Replicate, and Browserbase. Ollama is our top overall pick (4.6/5), and it includes a free plan. Compare these 8 below by price, features and rating to find the right fit.
★ Top pickOllamaOur highest-rated pick, known for run open models locally with a single commandVisit Ollama
| Tool | Best for | Free | From | Rating | Visit |
|---|---|---|---|---|---|
 Ollama | Best overall | Yes | Free | 4.6 | Visit |
 Replicate | Most popular | No | — | 4.5 | Visit |
 Browserbase | Best free option | Yes | $20/mo | 4.5 | Visit |
 Hugging Face | Best value | Yes | $9/mo | 4.5 | Visit |
 Mistral AI | Also worth a look | Yes | Free | 4.5 | Visit |
 Dust | Also worth a look | Yes | €24/mo | 4.5 | Visit |
 Neo4j | Also worth a look | Yes | Free | 4.5 | Visit |
 Modal | Also worth a look | Yes | Free | 4.5 | Visit |
Best AI Infrastructure & Agent Tooling AI tool for each use case
Give agents a real browser to work in
Browserbase runs managed browser sessions so agents can reach sites that expose no API. It matters when the task involves a portal, a legacy admin panel, or anything else built only for humans.
Store and search embeddings
Pinecone and Qdrant hold vector representations so a model can retrieve relevant context before answering. This is the retrieval half of most retrieval-augmented generation systems.
Orchestrate multi-step agents
LangGraph and CrewAI structure agents that loop, hold state, and hand work between roles. They apply once a single prompt-and-response stops being enough for the task.
See what agents did in production
AgentOps and Latitude provide observability into agent runs, turning silent failures into something you can inspect. Debugging agent behaviour without this is largely guesswork.
How to choose a AI Infrastructure & Agent Tooling AI tool
What to evaluate
- Separate the layers before shopping — since compute, model serving, vector storage, orchestration, and observability are distinct problems with distinct vendors.
- Check whether the project is open source and how it is governed — because infrastructure lock-in is expensive to unwind later.
- Model the cost at your expected volume — as inference and GPU pricing diverge sharply between prototype and production scale.
- Confirm observability exists before you need it — since agent failures are difficult to reconstruct after the fact without traces.
Which one should you pick?
If agents need to operate real websitesPick Browserbase, which runs managed browser infrastructure.
If you need managed vector search without running infrastructurePick Pinecone, the established fully managed option.
If you want fast inference on open modelsPick Groq or Together AI, both focused on inference performance.
Best free AI Infrastructure & Agent Tooling AI tools
These AI Infrastructure & Agent Tooling tools offer a genuine free plan or trial, a smart place to start before you pay.
How much do AI Infrastructure & Agent Tooling AI tools cost?
| Price tier | What you get | Examples |
|---|---|---|
| Free | $0, free plan or open-source | LiveKit, Zappr.AI, Riku, Modal, Neo4j |
| Budget | Under $15/mo | Plivo, Orkas, Abacus.AI, Prompt Genie, SendHQ |
| Mid-range | $15 to $39/mo | Socra, Dust, CosVoice, puppyone, SeedRouter |
| Premium | $40/mo and up | Sahha, Meetext, MeetingBaaS, BoltAI, Vynaris |
Pro tips
- Add tracing before scaling an agent, because reproducing a failure across dozens of steps is far harder than logging it as it happens.
- Set hard spend limits on inference from day one, since a looping agent can generate enormous cost within minutes.
- Benchmark on your own workload rather than published numbers, as performance depends heavily on model, context length, and concurrency.
- Keep a validation layer such as Guardrails AI between model output and any action that touches production systems.
How we check & rank
We verify every tool in this category is live and write its listing from the vendor’s own material, then score it on value, feature depth and how well it fits the job. Rankings are never for sale, and affiliate links never change a score. Read our full methodology
Browse all tools
-
-
Zappr.AI
3.8Drag-and-drop platform for building, deploying and reselling AI agents, with a Routine Engine of 150+ blocks, pre-built sales, support, invoice and booking agents, and white-labeling on a revenue-share model.
-
Riku
3.8No-code builder for AI apps and workforce agents that runs on 40+ language models, connects to knowledge bases and business tools by webhook, and deploys each app at its own shareable URL.
-
Modal
4.5Serverless cloud platform for running AI workloads, with GPU inference, fine-tuning and training, sandboxes for agents, batch jobs and multi-node clusters, billed per second with $30 of free compute a month.
-
Socra
4.2Workspace where teams and AI agents share knowledge and work, with Cortex for giving coding agents context before they act, managed agents with their own cloud computers, channels, tasks, files, a cloud for running software and a CLI.
-
Sahha
4.1Health data platform for developers that turns phone and wearable data from 800+ devices into health scores, biomarkers and archetypes through an SDK and API, with an AI Agents layer grounded in that data.
-
Dust
4.5Platform for building and sharing AI agents that work on company knowledge, with 70+ connectors to tools like Slack, Notion and GitHub, a choice of 20+ models, multi-agent workflows and permission controls.
-
Neo4j
4.5Graph database and knowledge-graph platform positioned as a knowledge layer for AI, with GraphRAG for grounded LLM answers, Aura Agent for building context-aware agents, vector search and MCP support.
-
Plivo
4.3Communications platform for building voice AI agents on carrier-grade telephony, with a no-code agent studio, programmable agents for LiveKit and Pipecat, AI noise cancellation, turn detection and automatic simulations.
-
Sinch
4.1Communications platform with messaging, voice, email and verification APIs, plus AI features: artificial traffic detection, Smart Conversations with sentiment detection and PII masking, Voice Relay for AI phone calls and an MCP server.
-
Apache OpenNLP
4.0Open-source machine learning toolkit for processing natural language text, covering tokenization, part-of-speech tagging, named entity extraction, parsing and language detection, with pre-trained models for 36 languages.
-
Hellomatik
3.6Enterprise AI platform that unifies a company's data and builds applications for each department, with live use cases in manufacturing, distribution and healthcare.
-
CosVoice
3.6Phone number service for AI agents that lets a bot such as a Grok, ChatGPT or Claude assistant make and answer calls and send you a written summary after each one.
-
puppyone
3.8Local-first file workspace for AI agents that tracks every edit in Git and can publish the same workspace to the cloud for teammates, MCP and API access.
-
Orkas
3.7Open-source, local-first desktop app where a team of specialist AI agents takes a chat brief and delivers research, documents, slides, videos and websites.
-
AI Agent Skills
3.6Directory of more than 8,800 community skills, templates and plugins for Claude, Codex and other AI agents, sorted by category from coding and MCP to marketing.
-
Meetext
3.6Forward deployed engineering software that connects your product through MCP, OpenAPI or a repository and deploys it into each customer's tools with review gates.
-
SeedRouter
3.8One API key for image, video, language and audio models with pay-per-request billing from a prepaid balance, and no charge for failed requests.
-
Elastic
4.4Search AI company behind Elasticsearch, with a vector database, a Search AI platform, Agent Builder for context-driven AI agents, and AI-driven analytics across search, observability and security.
-
NLP Cloud
3.8Privacy-focused NLP and generative AI API platform covering text generation, translation, speech and more, with on-premise deployment and a free plan.
-
Iterate.ai
3.8Enterprise private AI platform for building assistants, agents and AI applications that run on a company's own infrastructure, with an agent-first inference engine for scaling AI workloads.
-
Lettria
3.9Graph Context Layer platform from Lettria that turns enterprise documents and unstructured knowledge into ontology-powered graphs for grounded, traceable AI.
-
Bird
4.0Developer communications platform (formerly MessageBird) for email, SMS, WhatsApp, Apple Messages and voice, with AI agents and an MCP server for AI-driven operations.
-
The Forge
2.8No-code platform for building, sharing and monetizing AI-powered applications, with a Stripe-based marketplace and free sign-up.
-
MeetingBaaS
3.9Developer API from SAS SPOKE for adding meeting bots to Zoom, Google Meet and Microsoft Teams calls, with 8 free recording hours and self-hosting available.
-
H2O.ai
3.9Enterprise AI platform combining predictive and generative AI with an AI Super Agent for regulated, sovereign deployments, used by 20,000+ organizations.
-
Abacus.AI
3.7All-in-one AI platform with a super assistant, autonomous agents and access to 100+ models, from $7 a month.
-
Prompt Genie
3.6Chrome extension and CLI that rewrites rough prompts into sharper ones and caches Claude Code's file reads, from $8 a month.
-
Dreamspace
3.2Node-based infinite canvas for running, comparing and chaining prompts across OpenAI, Anthropic and Replicate models, with a live demo and a paid Pro tier.
-
GPT Calculator
2.8Free, one-developer tool that counts tokens and estimates the cost of a GPT prompt, now labelled an archived, client-side tool.
-
xTuring
3.5Open-source Python library for fine-tuning, quantizing and running your own LLMs on your data, from Stochastic.
-
Visual IDE for building and deploying AI agents with a node-based editor and a choice of LLMs; source on GitHub.
-
Datumbox
3.0Open-source Java machine learning framework and REST API for sentiment analysis, topic classification and text extraction.
-
Shanghai AI company behind the SenseNova multimodal model series, SenseCore compute and SenseFoundry vision solutions, with US sanctions context.
-
deepset
4.1Berlin-based maker of the Haystack framework for building, testing, deploying and governing RAG systems and agents on your own infrastructure.
-
Vue.ai
3.5Enterprise AI orchestration platform with data, customer and automation hubs, now owned by M2P Fintech.
-
BoltAI
4.1Native macOS AI workspace from Podzim LLC that switches between 300+ AI models and local LLMs in one app, sold as a one-time purchase.
-
Mistral AI
4.5European frontier AI platform with open models, fine-tuning and enterprise deployment.
-
SendHQ
3.6Observable email infrastructure for product teams and AI agents
-
Vynaris
3.5An OpenAI- and Anthropic-compatible gateway that sends each call to the cheapest model that meets your quality bar
-
AlbumentationsX
3.6Cited in 2,270+ research papers and used in 40,000+ GitHub repos – the open-source image augmentation library behind winning solutions in 77 AI competitions, NumFOCUS-affiliated.
-
Picovoice
3.6Voice, language, and vision AI that runs entirely on-device, no cloud required – 15 production-ready products trusted by NASA, Adobe, Meta, Netflix, and Ferrari.
-
Unearth AI
3.4Australian sovereign enterprise AI platform that unifies organisational data for governance and decision-making, built for regulated environments.
-
Pathway
2.8Drag, drop, and train – build a personalized digital assistant for your business with zero programming, no code required.
-
Meya
3.3Build support bots in YAML or Python, wire them into WhatsApp, Zendesk, and Dialogflow – 74,000+ deployments, over 1 billion events processed, 42 million users assisted.
-
Wit.ai
2.8Meta's free natural-language platform for building voice and chat interfaces – parse intent and extract entities from raw speech or text, no NLP expertise required.
-
Lightning AI
3.7From the creators of PyTorch Lightning – code, train, and serve AI models from your browser with zero setup, with automatic distributed training across multiple GPUs.
-
Evidently AI
3.7LLM-as-a-Judge evaluation with 100+ built-in metrics for hallucinations, toxicity, and PII – open-source, 7,500+ GitHub stars, used by DeepL, Wise, Plaid, and Databricks.
