About This Site
PostgreSQL platform for hybrid AI agent memory and retrieval Polygres is an all-in-one PostgreSQL platform for AI agents that combines relational data, graph traversal, vector search, and hybrid retrieval through a unified API. It turns existing PostgreSQL databases into working memory for agents, allowing them to retrieve structured rows, connected relationships, semantic matches, full-text results, and filtered context without using a separate vector database, graph database, or synchronization pipeline. Polygres includes pgGraph for foreign-key-based graph traversal and pgContext for fused retrieval across dense HNSW vectors, sparse search, full-text search, filtering, recommendations, discovery, grouped results, and lookups. Users can deploy it as a managed cloud database or self-host its open-source components.
Alternatives
LocalMode UI - Local-First AI Components
Open-source browser AI components for private, offline applications
LocalMode UI is an open-source, MIT-licensed toolkit and shadcn-style registry for building privacy-first AI interfaces that run entirely in the browser. It provides more than 100 copy-owned React components and 36 installable blocks for chat, RAG, vector search, vision, audio, agents, privacy, and developer tools. Models run locally through WebGPU or a WebAssembly fallback, so applications can work without servers or API keys and keep user data on the device.
Outter
Outter provides a pre-trained AI engine for fast, profitable AI integration into products.
Outter makes AI simple, fast, and profitable. They offer a pre-trained AI engine that integrates into products quickly, focusing on ROI without needing a full data science team. Outter helps implement high-impact AI features, automate workflows, and boost metrics. They provide AI readiness audits, co-pilots, recommendations, AI for content, bespoke AI solutions, and boutique services. Outter Engine combines proprietary models with third-party scalability, ensuring data security. They offer AI solutions tailored to unique needs, from automation to deep analytics.
Key Features AI
Core Features
Unified relational, graph, vector, and full-text retrieval
Native graph traversal over existing PostgreSQL foreign keys
Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
Token-ready context assembly for grounded AI agents
Shortest-path, neighborhood, relationship, and multi-hop graph queries
Managed cloud hosting and open-source self-hosting
PostgreSQL-native data retrieval without a separate vector store or sync pipeline
Advantages
Combines relational, graph, vector, and full-text search in one platform
Works directly with existing PostgreSQL schemas and foreign-key relationships
Avoids the operational complexity of separate vector and graph databases
Produces a single ranked and token-ready context result
Offers open-source components for free self-hosting
Supports managed cloud deployment and automated scaling on higher plans
缺点：The managed platform is still developing and some plans are marked coming soon
缺点：Advanced production features require a relatively high minimum monthly spend
缺点：Users may need PostgreSQL and AI retrieval knowledge to configure schemas and queries
缺点：Support for the self-hosted option is primarily community-based
缺点：The service is currently seeking design partners, so product capabilities may continue to evolve
Polygres Reviews (0)
5.0
0 reviews
Log in to rate this website and write a review
Log in
- No reviews yet. Be the first to write one!
30-Day Click Trend
10-07
10-21
11-05
Related Sites
CurateClick is a curated collection of the best developer tools and products. It helps developers discover amazing resources and lets makers share their own products with the community.
API Pull is an API platform for financial and identity verification. Access endpoints covering identity, tax, social security, credit, and education records for Mexico, Chile, and Colombia—with documented coverage and limits.
Build production-ready apps and websites with enterprise-grade security using Claude or ChatGPT. Apper manages the backend, with no extra Apper AI credits.
Apper lets individuals and businesses build production-ready websites and full-stack web apps with enterprise-grade security built in. Use the Claude or ChatGPT subscription you already pay for, choose your preferred model, and build without buying extra Apper AI credits.
Describe what you want to create in plain English. Apper connects to your AI through MCP and handles authentication, databases, permissions, billing, integrations and backups. It also handles app hosting and publishing, with an Apper URL or your own custom domain. You can focus on your website or app without assembling and maintaining the backend yourself.
Whether you’re a solo founder launching an MVP, a freelancer building for clients, or a business creating internal tools and customer portals, Apper provides the infrastructure to take your idea live. Build business websites, SaaS products, CRM systems, booking apps and more. Start free and upgrade as your data, storage and business needs grow.
ML.ai is an AI coding agent for VS Code, Cursor, desktop and your pull requests. It routes each step to the most cost-efficient model and shows every diff first.
ML.ai is an AI coding agent that goes where your code goes. Use it inside VS Code and Cursor, in its own desktop app with no IDE required, from the terminal, or as a PR Reviewer that checks every pull request. Every surface runs on the same engine, with the same settings and the same memory of your repo.
Most coding agents send every step to the same expensive frontier model. ML.ai hands each step to a focused agent and picks the most cost-efficient model that meets your quality bar, which typically cuts model spend by 30 to 45% on the same work. Explore reads and explains the codebase. Architect and Plan map the files, order of work and trade-offs. Only General can change code, and every edit or command waits for you to Allow or Deny it.
The PR Reviewer summarizes each pull request, leaves line-level comments, and runs builds and tests before it recommends approve or request changes. It never merges on its own.
Also included: reusable skills, background runs, MCP server support, a command safety classifier, and an access token that stays on your machine. ML.ai is a product of Pixis.ai, backed by SoftBank Vision Fund and General Atlantic.
Open-source PaaS for deploying apps on managed or self-hosted infrastructure
Openship is an open-source, self-hostable deployment platform and PaaS for building, deploying, and managing applications. It supports managed hosting through Openship Cloud, self-hosting on a user's own infrastructure, and hybrid deployments. Users can deploy through Git pushes, the CLI, desktop app, or an AI agent using MCP. Openship handles builds, containers, domains, free SSL, routing, logs, monitoring, rollbacks, secrets, backups, and app services. The platform is licensed under Apache 2.0 and uses standard containers to make workloads portable between Openship Cloud and self-managed servers.
Agent-first GPU cloud. Rent NVIDIA GPUs via web, CLI, SDK, or API. Providers earn 95% rental revenue + bonuses.
lium.io makes NVIDIA GPU compute accessible to developers, AI teams and autonomous agents. Rent GPUs through the web app, CLI, Python SDK or API, with live pricing and per-second billing. Build and scale AI inference, model training, fine-tuning and other GPU workloads using a workflow that fits your team. GPU providers can turn available capacity into revenue while earning 95% of rental revenue plus bonuses. Explore available GPUs at https://lium.io, integration guides at https://docs.lium.io and provider onboarding at https://provider.lium.io.
