Explore
Listings are reviewed against first-party sources as the catalog grows.
Browse the directory to find the right AI product for your needs.
Millis AI provides no-code and API tools for configuring voice agents, connecting phone numbers, choosing speech and language models, calling external APIs, and handling inbound or outbound conversations.
MindPal is a no-code workspace for building specialized AI agents, connecting them to business knowledge, and orchestrating multi-agent workflows.
Agno provides Python primitives for agents, teams, and workflows plus AgentOS for serving them through APIs, MCP, chat interfaces, and operational controls.
SwarmZero AI is a decentralized platform designed to empower developers, researchers, and businesses to create, deploy, and monetize AI agents and swarms. With its intuitive Agent Builder, comprehensive SDK, and integration capabilities, SwarmZero simplifies the development of AI-driven solutions across various industries.
Decagon helps customer-service teams build, test, deploy, and improve AI agents across chat, voice, and email using natural-language Agent Operating Procedures, integrations, guardrails, and analytics.
Harvey provides legal teams with cited AI agents, bulk document analysis, configurable workflows, knowledge research, collaboration spaces, and integrations with common legal and productivity systems.
11x combines buyer data, AI research and personalization, multichannel sequences, inbound phone handling, qualification, routing, analytics, and CRM integrations in a sales-led GTM platform.
Letta provides an agent harness, applications, and developer interfaces for building stateful agents whose memory, identity, tools, and conversations persist over time.
LangGraph is a low-level framework and runtime for building stateful agents with durable execution, streaming, persistence, and human-in-the-loop control.
LangSmith helps teams trace, monitor, evaluate, and improve LLM applications and agents across development and production.
Arize AX captures application traces, surfaces recurring issues, runs configurable evaluations, and compares experiments so AI teams can diagnose and improve agents and other production AI systems.
Langfuse helps teams trace AI application behavior, evaluate outputs, manage prompts, and compare quality, cost, and latency across development and production.
Braintrust is an AI evaluation and observability platform for tracing applications, testing changes, scoring production traffic, and turning real interactions into better datasets.
LlamaIndex provides an open-source framework plus managed parsing, extraction, indexing, and agent workflow services for applications that work with private data.
DSPy is an open-source Python framework for composing language-model programs from signatures and modules, then optimizing prompts and examples against developer-defined metrics.
Zep is managed memory infrastructure that builds temporal context graphs from conversations and business data, then retrieves relevant context for AI agents.
Mem0 provides hosted and open-source memory infrastructure that stores, updates, and retrieves user, session, and agent context across interactions through APIs and framework integrations.
Exa provides APIs for web search, page contents, structured deep research, monitoring, and agent workflows, with latency and output controls designed for model and agent applications.
Chroma stores documents, embeddings, and metadata and supports dense, sparse, hybrid, full-text, regex, metadata, and multimodal retrieval through an Apache-2.0 project and serverless cloud service.
Qdrant is a Rust-based vector search engine and managed platform for dense, sparse, hybrid, filtered, multivector, and reranked retrieval across cloud, hybrid, private, and self-hosted deployments.
Milvus is an Apache-2.0 vector database for storing vectors and related scalar data, running approximate nearest-neighbor search, and scaling from an embedded local library to standalone or distributed deployments.
Weaviate stores data objects and vector embeddings for semantic and hybrid search, retrieval-augmented generation, and agent workflows, with open-source self-hosting and managed cloud plans.
LM Studio runs compatible open models on macOS, Windows, and Linux, provides chat and document workflows, exposes local APIs and SDKs, and adds the Bionic agent with optional paid cloud inference.
Together AI provides serverless and dedicated inference, batch processing, fine-tuning, GPU clusters, sandboxes, and model deployment tools for open and custom AI workloads.
