Memoryport
Local-first permanent memory for all LLMs. Every session picks up where you left off.
Memoryport is a standout for developers who want private, permanent memory across multiple AI tools. Its local-first design with optional Arweave backup gives you control and durability that cloud-only services don't match. The CLI-only setup and lack of mobile support limit it to technical users. If you're comfortable with the command line, it's a no-brainer; otherwise, consider cloud-based alternatives like Mem.ai or Rewind.
Verified 3d ago · liveness 71/100 · cite: rightaichoice.com/tools/memoryport
- Developers using multiple AI coding assistants who want unified memory
- Power users who want private, permanent memory for personal LLM interactions
- Teams that need shared memory across AI tools with optional cloud backup
- Privacy-conscious users seeking a local-first alternative to cloud memory services
- Non-technical users who prefer plug-and-play with no CLI setup
- Users who need mobile or web-based memory access (desktop/CLI only)
- Teams requiring centralized cloud-hosted memory without self-hosting
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Skip Memoryport if you need a plug-and-play app, mobile access, or Windows support; or if you're unwilling to use the command line for setup.
Cross-device sync and cloud backup are locked to the $9.99/month Pro tier, so you can't sync memory across machines on the free plan.
Memoryport's free tier is unbeatable for local-only memory — unlimited storage at $0, whereas cloud memory services like Mem.ai charge monthly. The Pro tier at $9.99/month is inexpensive for permanent cloud backup, but if you need minimal setup and multi-device sync without CLI, competitors like Rewind (from $12/month) might be easier, though they don't offer permanent storage.
In short
Memoryport — Local-first permanent memory for all LLMs. Every session picks up where you left off. Best for Developers using multiple AI coding assistants who want unified memory, Power users who want private, permanent memory for personal LLM interactions, Teams that need shared memory across AI tools with optional cloud backup. Free to start; paid plans from $9.99/mo.
What people actually say about Memoryport — 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.
23 mentions across 3 sources (Hacker News, YouTube, GitHub) · researched Aug 30, 2026.
- +Local-first, permanent memory ensures privacy and data ownership
- +Integrates with Claude Code, Cursor, Ollama, and OpenAI via MCP
- +Open-source (Apache 2.0) with Rust codebase, allowing customization
- +Encrypted at rest with AES-256-GCM and Argon2id key derivation
- +Claims high performance with 500M token context and <300ms latency
- −Pro upgrade currently non-functional per GitHub issue
- −Limited community feedback; most YouTube comments are off-topic
- −CLI installation may be daunting for non-technical users
- −Benchmark claims not independently verified
- −No clear roadmap or release notes publicly shared
- • No hidden costs reported, but Pro tier may be non-functional, meaning you pay without getting service
Viability Score
How well maintained and how widely used is Memoryport? 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: September 2026
How we score →Key Features
- Local-first permanent memory using LanceDB vector index
- Optional Arweave backup for decentralized, persistent storage
- AES-256-GCM encryption with Argon2id key derivation
- Three-gate intelligent retrieval with query expansion
- Multi-tool memory across Claude Code, Cursor, Ollama, OpenAI
- Knowledge graph visualization
- Session analytics dashboard
- One-command installer for macOS and Linux (curl | sh)
- MCP server for Claude Code and Cursor
- Ollama proxy integration
- OpenAI proxy integration
- Open WebUI support
- Cross-device sync (Pro tier)
- Cold start rebuild from blockchain (Pro tier)
- Open source Apache 2.0 licensed (Rust codebase)
About Memoryport
Memoryport is an open-source, local-first permanent memory layer for AI agents and humans. It ensures persistent context across every LLM session, enabling seamless continuity without cloud dependency. The system runs entirely on your machine using LanceDB vector indexing, with an optional Arweave backup for cross-device sync and disaster recovery. Designed for developers and power users who rely on multiple AI tools like Claude Code, Cursor, Ollama, and OpenAI, Memoryport unifies memory across them via MCP servers and a proxy for Ollama/OpenAI. A one-command CLI installer works on macOS and Linux. The three-gate retrieval system with query expansion injects relevant context automatically. All data is encrypted at rest with AES-256-GCM and Argon2id key derivation. On the LongMemEval benchmark (ICLR 2025), it achieves 97.9% session recall with <100ms p95 retrieval across 500M tokens. The free tier offers unlimited local memory forever; the Pro tier ($9.99/month) adds permanent cloud backup that persists even if you stop paying. Fully open-source under Apache 2.0, Memoryport prioritizes privacy and control over convenience — ideal for those comfortable with CLI setup and local-first workflows. Unlike cloud-only memory services, it guarantees your data stays yours and remains accessible offline.
Behind the Verdict
Memoryport nails a specific pain: cross-session memory for AI tools. The local-first architecture means your conversations are indexed on your machine, not in someone else's cloud. The three-gate retrieval system is a thoughtful touch — it injects only relevant context, not a dump of everything. Benchmarks are strong: 97.9% recall on LongMemEval, sub-100ms p95 retrieval. The Pro tier's 'memories persist even after you stop paying' is a unique selling point, backed by Arweave's permanent storage. However, the CLI-only setup is a hard barrier for non-technical users. There's no web or mobile interface, so you're tied to your desktop. The free tier is local-only; cross-device sync costs $9.99/month. For developers already using Claude Code, Cursor, or Ollama, Memoryport is a natural fit. For anyone expecting a plug-and-play app, it's not.
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Real-world workflow fit
Concrete scenarios for the personas Memoryport actually fits — and what changes day-one when you adopt it.
Install Memoryport with one command, initialize with the wizard, and start coding. Memory automatically indexes your conversations, so when you switch from Claude Code to Cursor, the context carries over.
Outcome: No more repeating your project context to each AI tool. You save time and avoid frustration, with all memory searchable locally.
Set up Memoryport with the Ollama proxy. Run fully offline with local models, and Memoryport injects relevant context from past sessions.
Outcome: You get persistent memory without any cloud dependency, keeping your research data completely private and under your control.
Upgrade to Pro, which backs up your local memory to Arweave. Even if your disk fails or you stop paying, your memories are recoverable.
Outcome: You never lose your AI conversation history. Cold start rebuild from the chain means you can restore memory on a new machine.
Use Cases
- Persist conversation history across LLM sessions so you never repeat yourself.
- Sync memory between Claude Code and Cursor on the same machine using MCP.
- Backup your AI memory permanently to Arweave for cross-device restore.
- Run Memoryport locally with Ollama for fully offline AI memory.
- Use the proxy mode to give OpenAI ChatGPT persistent cross-session context.
- Visualize knowledge graphs built from your LLM conversations for insight.
Limitations
- Memoryport runs on macOS and Linux, with no Windows or mobile support indicated.
- The free tier is local-only, while cross-device sync and Arweave backup require the Pro subscription.
- Pro includes approximately 250M tokens per month.
- The setup is CLI-based and may not be suitable for beginners.
as of 2026-08-24
Verification history
We have re-verified Memoryport 6 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-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — 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
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 Memoryport 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
Ideal for
Solo developers and privacy-conscious users who want unlimited local memory on a single machine without any cost.
What this tier adds
Starting tier: unlimited local storage, MCP integrations, Ollama/Open WebUI support, knowledge graph, session analytics, encrypted at rest.
Pro
$9.99/month
Ideal for
Power users and professionals who need cross-device sync and a permanent cloud backup that survives even after they stop paying.
What this tier adds
Adds permanent Arweave backup (~250M tokens/month), cross-device sync, and cold start rebuild from the chain.
Where the pricing makes sense
The company stage and team size where Memoryport's pricing actually pencils out — and where peers do it cheaper.
Memoryport's free tier is unbeatable for local-only memory — unlimited storage at $0, whereas cloud memory services like Mem.ai charge monthly. The Pro tier at $9.99/month is inexpensive for permanent cloud backup, but if you need minimal setup and multi-device sync without CLI, competitors like Rewind (from $12/month) might be easier, though they don't offer permanent storage.
Setup time & first value
How long it actually takes to get something useful out of Memoryport — broken out by persona, not the marketing-page minute.
For a developer comfortable with the command line: under 10 minutes. The one-command installer and interactive wizard get you running quickly. Non-technical users may take 30–60 minutes to figure out CLI and MCP configuration, if they attempt it at all.
Switching to or from Memoryport
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Mem.ai or Rewind: Export your memories to JSON or markdown, then import them into Memoryport's local store (check documentation for import scripts).
- →From no memory tool: Start fresh; Memoryport automatically indexes new conversations as you use your AI tools.
- ↗To Mem.ai or Rewind: Export your local memory data (it's stored in LanceDB; you can access it directly) and import into cloud services.
- ↗To another local memory solution: Since Memoryport is open-source and stores data in LanceDB, you can write scripts to export to formats like JSONL.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Memoryport vs Spider Cloud
Memoryport and Spider Cloud serve very different needs. Memoryport is for users who want persistent, local-first memory across multiple AI coding assistants, ideal for continuity in LLM interactions. Spider Cloud is a web data extraction API designed for AI agents and RAG pipelines needing real-time web content. Your choice depends on whether you need long-term context storage or dynamic web data fetching. Neither is a substitute for the other.
Memoryport vs Temporal Ai
Choose Temporal AI if you need enterprise-grade durable execution for AI agents and long-running workflows, with built-in retries, state recovery, and human-in-the-loop features – it's trusted by OpenAI and Replit for mission-critical orchestration. Choose Memoryport if you're a developer using multiple coding assistants (Claude Code, Cursor) and want a private, local-first memory layer that persists context across sessions without cloud dependency. They solve different problems: Temporal ensures your agents never lose progress; Memoryport ensures they never forget the conversation.
Memoryport vs Presto Voice
Presto Voice and Memoryport serve completely different domains. Presto Voice is a specialized drive-thru AI for QSR chains, boosting revenue through upselling and automation. Memoryport is a developer-focused memory layer for LLMs, ensuring continuity across coding sessions. Choose based on your vertical: restaurant operations vs. AI workflow persistence.
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