Best Agent DB Alternatives in 2025
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Deploy framework-free AI agents with one API call. No infrastructure setup required - agents are ready to use with a computer, tools, prompts, and capabilities built-in.
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OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.
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Build AI agents and LLM apps with observability, evals, and replay analytics. No more black boxes and prompt guessing.
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DotAgent is a revolutionary AI platform with Agent Genome tech. 8x better than GPT-4, cuts costs up to 95%. Ideal for businesses seeking efficient AI.
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SQLite AI: The AI-native, distributed database for edge devices. Embed LLMs & vector search, sync data seamlessly, and scale your intelligent apps globally.
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Low code enterprise data platform for transformation, embedding and vector database load.
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CapybaraDB streamlines data management for AI apps. Built on MongoDB and Pinecone, it offers features like EmbJSON for semantic search, async processing, and native multi - modal support. Simplify AI development, reduce costs, and manage diverse data easily.
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Agent Squad: Open-source framework to orchestrate AI agent teams for complex conversations. Python & TS support, flexible context & routing.
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xpander.ai is a robust platform designed for developing autonomous and reliable AI agents across various applications. Our advanced tools enable engineers and technical leaders to construct sophisticated AI agents that handle complex, multi-step workflows with ease. Utilize our visual builder and agentic interfaces to create tailored AI solutions that meet your specific needs.
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AutoAgent: Zero-code AI agent builder. Create powerful LLM agents with natural language. Top performance, flexible, easy to use.
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AgentKit is a framework to build AI Agents, from single model inference calls to multi-agent systems that use tools. Designed with orchestration at its core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale.
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VoltAgent: Open-source TypeScript framework for building powerful, custom AI agents. Gain control & flexibility. Integrate LLMs, tools, & data.
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TaskingAI brings Firebase's simplicity to AI-native app development. Start your project by selecting an LLM model, build a responsive assistant supported by stateful APIs, and enhance its capabilities with managed memory, tool integrations, and augmented generation system.
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Superexpert.AI: Open source platform for developers. Build flexible AI agents easily with no code, custom tools, RAG. Get full control and deploy anywhere.
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Cloudflare Agents: Durable Objects, Workflows, Workers AI. Build agentic AI with reliable execution, serverless compute, and cost optimization.
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SuperAgentX, an open - source AI framework, enables building autonomous AI agents for AGI. Features include goal - oriented multi - agents, easy deployment, and flexible LLM config. Ideal for e - commerce, data analysis, and research. Explore AGI possibilities now!
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Build, deploy & manage advanced AI agents with AgentForge. Open-source framework for sophisticated, context-aware multi-agent workflows.
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Atomic Agents: Python framework for predictable AI. Build modular, reliable agent pipelines with full control.
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Agent.so: Your AI platform to chat, create & train custom agents with your data. Boost productivity & growth using top AI models.
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datapizza-ai provides clear interfaces and predictable behavior for agents and RAG. End-to-end visibility and reliable orchestration keep engineers in control from PoC to scale
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PuppyAgent: Transform proprietary knowledge into self-evolving AI agents. Build powerful agentic RAG systems to automate workflows & boost insights.
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Build action-oriented AI agents code-free. QuickAgent deploys instantly, connects services, and automates tasks without servers. Powerful & easy.
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DB-GPT is an open-source framework designed for developing AI-native data applications, featuring AWEL and agent-based workflows.
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Build reliable AI agents and connect them to 500+ integrations with built-in multi-tenant auth management and granular permissions using our model agnostic platform and unified MCP server.
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One Place for Agents to Store, Observe, and Learn. Context Data Platform for Self-learning Agents, designed to simplify context engineering and improve agent reliability and task success rates.
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CrateDB: High-performance distributed SQL for real-time analytics, search, & AI. Unify data & get instant insights from massive datasets.
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Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.
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Dedalus Labs is building the MCP gateway for next-gen AI applications by unifying the fragmented AI-agent ecosystem with a single drop-in API endpoint.
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FalkorDB: Ultra-fast graph database. Achieve accurate GenAI with GraphRAG, eliminate LLM hallucinations, & scale 10K+ tenants with zero overhead.
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AgentRPC connects AI agents to any function, anywhere. Securely integrate with private networks & handle long tasks easily.