Powabase
Powabase is a managed Postgres backend for AI apps with RAG, agents, and workflows built in.
Shortlist Powabase when your roadmap is agent features rather than CRUD — co-locating retrieval, rerank, and the agent runtime in one isolated Postgres removes real integration work, and the Apache-2.0 self-host means you can walk away from the managed tier without a rewrite. The catch is the meter: hourly compute tiers plus per-call costs are gentle on a prototype and worth modelling before sustained agent traffic. If you need general backend with no retrieval, Supabase or Firebase is less
Verified 3d ago · liveness 77/100 · cite: rightaichoice.com/tools/powabase
- Teams whose backlog is agent features — support bots, multi-step workflows, RAG over private documents
- Developers in Claude Code, Codex, Cursor, or OpenCode who want the agent to scaffold retrieval, agents, and workflows
- Solo devs and small teams shipping a working AI MVP without stitching a vector DB to an agent framework
- Startups consolidating a vector database, an agent framework, and a BaaS bill into one managed Postgres platform
- Apps with no retrieval or agent needs, where Supabase or Firebase covers the same ground for less complexity
- Teams needing custom Postgres extensions or hand-tuned database and infrastructure control
- Side projects that sit idle — Free projects suspend after 7 days and delete after 30
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Skip Powabase if your app stores and serves data but has no retrieval or agent work, or if you need custom Postgres extensions — Supabase, Firebase, or Neon cover that ground with less metering to model.
Per-hour compute is separate from your subscription credit, so a Foundry project at $0.4032/hr on Free burns its credits in roughly a day of continuous runtime.
Self Serve at $25/mo (with $25 in monthly credits) fits a solo dev or small team running steady agent workloads; Scale at $300/mo (with $300 in credits, up to 50% cheaper per-call costs and 20% cheaper per-hour compute than Free) fits a team in production at higher throughput. Both are cheaper per unit than staying on Free pay-as-you-go, but you're prepaying credits monthly. Against Supabase's general BaaS tiers you're paying for retrieval and agent runtime you don't have to assemble; against
In short
Powabase — Powabase is a managed Postgres backend for AI apps with RAG, agents, and workflows built in. Best for Teams whose backlog is agent features — support bots, multi-step workflows, RAG over private documents, Developers in Claude Code, Codex, Cursor, or OpenCode who want the agent to scaffold retrieval, agents, and workflows, Solo devs and small teams shipping a working AI MVP without stitching a vector DB to an agent framework. Free to start; paid plans from $25/mo.
What's new in Powabase
Checked yesterdayAcross the latest 10 updates: 10 news mentions.
Reverse Engineer Anything (REA): What It Is & Use Cases
Powabase blog explains Reverse Engineer Anything (REA), how it works, and the top use cases for learners and builders.
Agentic AI in Wearables: How Autonomous Agents Work
Powabase blog post covers multi-agent frameworks, on-device vs. cloud inference, and privacy considerations for agentic AI in wearables.
The State of Embodied AI in 2026: A Complete Guide
Powabase guide surveys embodied AI in 2026, covering VLA models, world models, LLM-driven robotics, market size, and challenges.
Agentic AI Trading Strategy: A Step-by-Step Guide
Powabase walkthrough covers building, testing, and deploying autonomous trading systems with an agentic AI trading strategy.
How to Make Multitenant Vector Indices Scalable
Powabase guide covers strategies for scaling multitenant vector indices without sacrificing speed or isolation.
Enterprise Application Fleet Management: Deploy & Govern at Scale
Powabase post lays out strategies for deploying, governing, and scaling an enterprise application portfolio.
How to Build a Hedge Fund Trading Model with Agentic AI
Powabase tutorial covers designing multi-agent roles, wiring data APIs, managing risk, backtesting, and deploying to paper trading.
Row-Level Security for AI Agents: Run as User or Not?
Powabase post examines whether AI agents should run under row-level security as the user or with separate permissions.
Prompt Caching for AI Agents: Where the Savings Come From
Powabase explains prompt caching cost and latency savings for agent loops, covering KV cache basics and provider differences.
Agentic AI Hedge Funds: How Quant Firms Deploy AI Agents
Powabase post examines how quant firms deploy autonomous AI agents to analyze markets and execute strategies.
What people actually say about Powabase — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
32 mentions across 2 sources (YouTube, Product Hunt) · researched Aug 14, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Token efficiency as a first-class platform concern, cutting hidden orchestration costs.
- +Postgres-native RAG — treats the database as foundation, not an afterthought.
- +Bundles Postgres, RAG, and agents into one API, replacing glue code.
- +Built-in OCR (91% on OlmOCR-Bench) and hybrid search with reranking.
- +Deep integration with Claude Code / Cursor could accelerate dev agency adoption.
- −No public community feedback beyond launch-day comments; track record unverified.
- −Comparisons to LangGraph Platform/Mastra unanswered — positioning still fuzzy.
- −No public benchmarks for vector indexing at scale on pgvector.
- −Multi-tenancy per customer/org isn't clearly documented in launch materials.
- −Pricing tiers are vague beyond free $10 credits and $25/mo starting plans.
- • Usage-based pricing may surprise high-volume RAG or agent workloads
- • Bring-your-own-LLM: you pay for LLM API costs separately
Viability Score
How well maintained and how widely used is Powabase? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Managed Postgres with pgvector, RLS, and dedicated compute per project
- Isolated stack per project — own Postgres, Realtime, Storage, no shared logical databases
- Extracts, chunks, embeds, and indexes PDFs, images, Office files, and URLs on upload
- Multimodal content indexing for document knowledge bases
- Built-in OCR rated 91% accuracy on OlmOCR-Bench
- Full RAG pipeline rated 98.7% accuracy on FinanceBench
- Vector, BM25, hybrid, and tree retrieval with SOTA rerankers included
- Sub-100ms warm-cache pgvector lookups on typical RAG payloads
- ReAct agent runtime with multi-LLM orchestration
- Custom agent tools over HTTP or MCP
- Built-in agent tools: web search and code execution
- Streaming agent runs over SSE with retrieval events, tool calls, token deltas, citations
- Persistent multi-turn sessions with summarization of older turns
- Human approval step for sensitive agent tool calls
- Visual workflow builder with natural-language copilot
About Powabase
Powabase is a Postgres backend for AI applications, and it replaces the pile of vendors you'd normally assemble: a vector database, an agent framework, an auth service, storage, and the glue between them. Every project gets a dedicated stack with its own Postgres and compute — no shared logical databases — so retrieval, rerank, and the agent runtime run beside the database instead of across a network hop. The vendor reports sub-100ms warm-cache pgvector lookups and up to 70% token savings on optimized agents. Retrieval does the unglamorous work. Upload PDFs, images, Office files, or URLs and Powabase extracts, chunks, embeds, and indexes them, multimodal content included. Search spans vector, BM25, hybrid, and tree strategies with rerankers included; the vendor reports 91% OCR accuracy on OlmOCR-Bench and 98.7% on FinanceBench for the full RAG pipeline. On top sits a ReAct agent runtime with multi-LLM orchestration, web search and code execution as built-in tools, and your own tools over HTTP or MCP. Runs stream over SSE with logged retrieval events, tool calls, token deltas, and citations, and long sessions get summarized so a conversation can outlive the context window. A visual workflow builder with a natural-language copilot turns drag-and-drop blocks into a deployable HTTP endpoint. It's aimed at developers driving Claude Code, Codex, Cursor, Antigravity, or OpenCode who want their coding agent to scaffold the backend, plus teams on Replit, Lovable, v0, Base44, and Bolt.new where backend plumbing is what stalls a prototype. Auth covers email/password, OAuth, JWTs, MAU metering, SSO, and Phone MFA, and the database, auth, and storage surfaces follow Supabase conventions so a Supabase-style client plugs straight in. The whole stack is open source under Apache-2.0 — clone the repo, run docker compose up, and you have a single-project Powabase on your own infrastructure with no control plane. Powabase Cloud is the managed option, and Enterprise adds
Behind the Verdict
The pitch only lands if you actually have retrieval or agent work on the roadmap. Build a CRUD app on Powabase and you're paying isolated-stack compute for features you never call. Build a support bot or a document Q&A product and the math flips — you'd otherwise be wiring pgvector to an agent framework to an auth provider yourself. We'd reach for this when the coding agent is already in the loop. Install the agent skill or point it at the MCP server and Claude Code, Codex, Cursor, Antigravity, or OpenCode scaffolds the retrieval and agent layers instead of a TODO list. The Supabase-compatible surface keeps switching cost low: mostly a URL and a key. Where it bites is cost modelling. Compute bills hourly by tier — Sandbox at $0.0346/hr on Free down to $0.0272/hr on Scale — and agent runs add per-call charges on top, with paid plans buying cheaper columns and a monthly credit balance equal to the subscription that rolls over. That's generous for a prototype. Sustained high-throughput agent traffic is where you want the calculator out before you commit. The self-host path is the real differentiator against managed-only rivals. Apache-2.0, one docker compose up, 12 services, no control plane, no account — bring your own OpenAI, Anthropic, Google, or OpenRouter keys and your compliance story stays yours. Enterprise is where you'd land if you need Kubernetes with the official Helm chart, VPC or on-prem hosting, regional data residency, or SOC 2 / ISO 21001-grade agreements. One caveat on onboarding: Free projects suspend after 7 days idle and delete after 30, so don't park a demo you care about on the free tier. Closest alternative depends on what you're replacing. Replacing Supabase with AI needs? Powabase, plainly — that's the positioning. Replacing a vector DB and an
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Real-world workflow fit
Concrete scenarios for the personas Powabase actually fits — and what changes day-one when you adopt it.
Install the Powabase agent skill with npx skills add powabase-ai/agent-skills, copy the Project URL and API key from the Studio Connect modal, and ask the agent to add sign-up, profiles, and file uploads.
Outcome: A working app against managed Postgres, auth, and storage without writing backend code or deploying anything.
Upload product docs, let Powabase extract, chunk, embed, and index them into pgvector, then point an agent at the knowledge base and stream answers to the site over SSE.
Outcome: A live support endpoint with logged retrieval events, tool calls, token deltas, and citations, backed by the project's own Postgres.
Use the visual workflow builder and its natural-language copilot to chain research, writing, and proofreading agents, add human approval on the publishing step, and deploy the flow as an HTTP endpoint.
Outcome: A callable multi-step agent pipeline with persistent sessions that summarize older turns instead of dropping context.
Use Cases
- Build a support agent that answers from your product documentation using RAG on uploaded PDFs.
- Create a multi-agent workflow that researches, writes, and proofreads blog posts.
- Deploy a realtime chat app with user auth and file storage on Powabase's Postgres and realtime.
- Let Claude Code or Codex spin up a full backend with database schemas, auth, and search from a prompt.
- Connect an HTTP trigger to an agent that calls web search and posts results to Slack.
- Store agent memory in Postgres without adding a separate vector store.
- Migrate from Supabase by pointing your existing agent at Powabase's compatible API endpoints.
- Give an internal tool a document knowledge base with OCR and reranking without standing up a vector database.
Models Under the Hood
as of 2026-10-18
Limitations
- Managed cloud plans are usage-based: each paid plan includes a monthly credit balance equal to the subscription (spendable on compute hours, per-call costs, MAU overages, and storage, with unused credits rolling over), and the larger the plan the cheaper each unit.
- Free-tier projects suspend after 7 days of inactivity and are deleted after 30 days.
- Inference can be paid from Powabase credits or by bringing your own OpenAI, Anthropic, Google, or OpenRouter LLM keys (stored per-project and encrypted at rest).
- A free Apache-2.0 self-hosted edition runs the full single-project stack with one docker compose up, but has no control plane and only community Discord support.
as of 2026-10-09
Verification history
We have re-verified Powabase 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Powabase tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developer or prototype with no monthly commitment — $0/mo, all platform features, $10 in free credits on sign-up, pay-as-you-go with no monthly minimum.
What this tier adds
Starting tier: full platform access at pay-as-you-go rates, but projects suspend after 7 days idle and delete after 30, and per-hour compute and per-call costs are the highest on offer.
Self Serve
$25/mo
Ideal for
Solo dev or small team running steady agent workloads that justify $25/mo in prepaid credits.
What this tier adds
Adds $25 in monthly credits to spend on anything, any compute tier from Sandbox through Foundry, up to 25% cheaper per-call costs and 15% cheaper per-hour compute versus Free, lower overage rates, email support, and credits that roll over month to month.
Scale
$300/mo
Ideal for
Teams running production AI workloads at higher throughput, where the per-unit discount offsets the $300/mo credit commitment.
What this tier adds
Adds $300 in monthly credits, up to 50% cheaper per-call costs and 20% cheaper per-hour compute versus Free, the lowest overage rates on EBS, S3, egress, and requests, Foundry dedicated QoS, and priority live support.
Enterprise
Custom
Ideal for
Procurement-bound organizations needing private hosting, data residency, or compliance paperwork before they can run production AI workloads.
What this tier adds
Moves off shared managed hosting to VPC / on-prem or BYO cloud, adds regional data residency (US, EU) and air-gapped support, SOC 2 / ISO 27001 / DPA / SLA, cybersecurity insurance, SSO (SAML / OIDC), audit logs, RBAC, and a named contact — plus a free MVP build for select
Where the pricing makes sense
The company stage and team size where Powabase's pricing actually pencils out — and where peers do it cheaper.
Self Serve at $25/mo (with $25 in monthly credits) fits a solo dev or small team running steady agent workloads; Scale at $300/mo (with $300 in credits, up to 50% cheaper per-call costs and 20% cheaper per-hour compute than Free) fits a team in production at higher throughput. Both are cheaper per unit than staying on Free pay-as-you-go, but you're prepaying credits monthly. Against Supabase's general BaaS tiers you're paying for retrieval and agent runtime you don't have to assemble; against
Setup time & first value
How long it actually takes to get something useful out of Powabase — broken out by persona, not the marketing-page minute.
Solo dev with a coding agent: minutes — create a project, copy the Project URL and API key from the Connect modal, tell Claude Code or Cursor what to build. Team with an existing frontend: an afternoon to wire auth, storage, and a first knowledge base. Migrating from Supabase: point the existing client at the Powabase URL and key and verify the endpoints. Reaching production agent workloads:
Switching to or from Powabase
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Supabase: point your existing client and coding agent at the Powabase Project URL and API key — the database, auth, and storage surfaces follow the same conventions.
- →From a stitched stack (Pinecone + LangChain + a BaaS): replace the vector store and agent framework with Powabase knowledge bases, agents, and Postgres.
- →From a from-scratch vibe-coded backend: move tenant data into per-project Postgres with row-level security rather than maintaining hand-rolled multi-tenancy.
- →From a spreadsheet or shared drive knowledge base: upload the PDFs, Office files, and images and let extraction, chunking, and indexing run on upload.
- ↗To Supabase: the API conventions match, so repoint the client and carry the Postgres schema across.
- ↗To Neon: move the Postgres workload if you need serverless branching and no agent runtime.
- ↗To a self-managed stack: deploy the Apache-2.0 single-project stack with one docker compose up and run it yourself.
- ↗To a dedicated vector database plus agent framework: extract stored vectors and rebuild retrieval if you outgrow the bundled tiers.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Powabase”, and we withheld 6: 6 could not be judged, because “Powabase” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Powabase.
Official links
Tools that pair well with Powabase
Common stack mates teams adopt alongside Powabase, with the specific reason each pairing earns its keep.
RAGFlow
Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.
Mem0
Mem0 is an AI memory layer that gives agents and apps persistent context across sessions
Pinecone
Pinecone is a managed vector database and knowledge engine for RAG, semantic search, and agent retrieval.
Featured Head-to-Head Comparisons
Powabase vs Spider Cloud
Choose Powabase if you need a full-stack AI backend (database + RAG + agents) in one managed service, especially if you build with AI coding agents. Choose Spider Cloud if your primary need is fast, reliable web data extraction for AI agents or RAG pipelines. They complement each other: Spider Cloud can feed data into Powabase's RAG pipeline.
Powabase vs Voyage Ai
Choose Voyage AI if you need best-in-class domain-specific embeddings and rerankers for enterprise RAG on finance, legal, or code — and have the budget for custom pricing. Choose Powabase if you want an all-in-one managed backend with Postgres, RAG pipeline, and agent runtime at a freemium price, ideal for rapid AI app prototyping.
Powabase vs Temporal Ai
Choose Temporal AI if you need bulletproof orchestration for long-running, crash-sensitive workflows — its durable execution and state capture are unmatched. Choose Powabase if you want a turnkey backend that bundles Postgres, RAG, and agent runtime, especially if you're building AI apps with coding agents like Claude Code. They serve different layers: Temporal is the reliability backbone; Powabase is the full-stack accelerator.
Alternatives to Powabase
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