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ai-memory vs Supabase: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of ai-memory and Supabase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

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ai-memory

AkitaOnRails

Free

Open-source, self-hosted long-term memory server that lets Claude Code, Codex, Cursor and other agent CLIs share context and hand off sessions.

Key features

  • Cross-Agent Handoffs: Typed, claim-once handoffs let you continue a session in a different agent CLI.
  • Automatic Capture: Lifecycle hooks record prompts, tool calls and session boundaries, sanitized before storage.
  • Markdown Wiki Storage: Git-backed wiki of .md files is the source of truth, with a rebuildable derived database index.
  • Multi-Mode Search: Full-text, entity and graph search plus optional vector search.
  • Team Sharing: Per-project knowledge sharing with multi-user auth, per-person attribution and an audit log.
  • Self-Hosted Single Binary: Rust binary or Docker server running on your laptop, homelab or LAN host.
  • Zero-LLM Default: Capture and search work without an LLM API key.
  • Broad Agent Support: Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Kiro CLI, Grok Build CLI and more.

Best for

  • A developer starts a feature in Claude Code and continues it in Codex without re-explaining the project.
  • A team shares project knowledge across members' coding agents with an audit trail.
  • An engineer keeps memory on a homelab server so every laptop and agent sees the same context.
  • A privacy-focused user runs fully local memory capture with no LLM calls or cloud service.
  • A maintainer browses and edits agent memories as plain markdown in a git repository.
  • A developer onboards a new agent CLI to an existing project through MCP install commands.
View ai-memory details
Supabase logo

Supabase

Supabase

Freemium

Postgres-first development platform providing hosted Postgres, Auth, instant APIs, Realtime, Functions, Storage and vector embeddings.

Key features

  • Hosted Postgres Database: Provides a managed, dedicated PostgreSQL instance with tools and integrations designed for production web, mobile, and AI applications.
  • Auto-generated APIs: Instantly exposes REST and GraphQL endpoints from the Postgres schema (PostgREST/Graphile-style auto-APIs) so developers can query and mutate data without writing backend code.
  • Authentication and Authorization: Built-in user management, sign-up/sign-in flows, JWT-based auth, and role/row-level security integrations to secure database access.
  • Realtime Subscriptions: Change-data-capture based realtime updates and WebSocket subscriptions to push database changes to clients for live features like chat or presence.
  • Functions (Edge & Database): Support for serverless Edge Functions alongside Postgres database functions (RPC) to run custom business logic close to data.
  • File Storage: Object storage for uploading, serving, and managing files/media with access controls integrated with Supabase Auth.
  • Vector Embeddings Toolkit: Integration with pgvector and embedding tooling for semantic search, similarity queries, and AI-driven features.
  • Client Libraries & Local Dev: Official SDKs (e.g., supabase-js), dashboard, CLI and local stack tooling (npx supabase start) for rapid development and self-hosting.
  • Hosted Postgres database with full SQL/Postgres feature set
  • Authentication and Authorization (OAuth, RLS integration with Postgres)
  • Auto-generated REST APIs (PostgREST) and GraphQL endpoints
  • Realtime subscriptions and broadcasting for database changes
  • Database Functions (rpc) and Edge Functions (serverless)
  • File Storage for uploading/downloading files
  • AI & Vector/Embeddings toolkit (pgvector support and related tooling)
  • Official client libraries (supabase-js is an isomorphic JS/TS client)
  • Dashboard and management console for projects
  • Self-hosting support via supabase CLI (npx supabase start) and Docker
  • Open-source codebase (Apache-2.0 for core, MIT for many clients)

Best for

  • Full-stack applications: Quickly build web and mobile backends with a managed Postgres database, auto-generated APIs, auth, and storage without building a custom backend.
  • Realtime apps: Implement live chat, collaborative editing, dashboards, or presence systems using realtime subscriptions based on Postgres change data capture.
  • Authenticated user platforms: Manage sign-ups, logins, roles, and row-level security for multi-tenant or user-specific data access directly integrated with the database.
  • File and media handling: Store, serve, and manage user uploads and assets with built-in object storage linked to project auth and permissions.
  • Semantic search and AI features: Store vector embeddings in pgvector and run similarity queries for recommendations, semantic search, and retrieval-augmented generation workflows.
  • Self-hosted development & testing: Run a full local Supabase stack (CLI npx supabase start) for local development, testing, or self-hosted production deployments.
  • Web and mobile backends with Postgres as primary datastore
  • Realtime applications (chat, live dashboards) using subscriptions
  • Auto-generated APIs for rapid prototyping and production services
  • Serverless business logic via Edge Functions and Postgres functions
  • File upload, CDN-backed storage and media management
  • Vector search and embeddings-powered semantic search or recommendation systems
  • Self-hosted local development and CI via supabase CLI and monorepo tooling
View Supabase details