SuperLocalMemory
Claim this toolLocal, auditable memory for AI agents with layered, hybrid recall
From $4/user/mo, billed monthly (free plan available) Visit Website Freemium Visit Website
Tracked since 2026
The Bottom Line
- Price
- From $4/user/mo, billed monthly (free plan available). Compare plans
Key facts
- Local-first memory with three-tier recall that admits ignorance, preventing hallucinations.
- Governance features including roles, audit trails, GDPR compliance, and per-workspace isolation.
- Supports multiple agents, document indexing, time-travel queries, and on-device answer checking.
Pros
- Runs locally, ensuring data privacy and no dependency on external APIs
- Governed memory with audit trails and compliance controls suitable for teams
- Supports multiple agents, documents, images, and time-travel queries in one system
Cons
- On-device answer check (Laya) requires Apple Silicon; Windows/Linux users need online Jev with a key
- Document indexing requires 16 GB RAM and is off by default
What is SuperLocalMemory?
SuperLocalMemory is a local-first memory system designed for AI agents, providing governed, auditable, and privacy-preserving storage and retrieval. It runs entirely on your machine, with optional network features for multi-agent communication and cloud backup. The system features a three-tier recall that admits when it doesn't know an answer, layered recall under a token budget, and hybrid retrieval combining semantic, keyword, entity-graph, and temporal signals. It supports documents and images via on-device embedding models, time-travel queries (what was true at a past date), and multi-agent sharing with trust scores to prevent memory poisoning. Governance includes role-based access, per-workspace isolation, a hash-chained audit trail, and GDPR-compliant export and erasure. SuperLocalMemory is open-source under AGPL v3 and designed for developers building AI agents, bots, and chat applications that need reliable, non-hallucinating memory.
Data compiled by Toolradar Pricing checked · How we evaluate
Source superlocalmemory.com Key Features
- Three-tier recall: supported answer, closest memories, or 'not in memory'
- Layered recall with token budget and expandable depth
- Hybrid retrieval: semantic, BM25, entity-graph, temporal, associative, and picture channels
- On-device answer checking via Laya (Apple Silicon) or online Jev (optional)
- Governance: RBAC, audit trail, GDPR export/erasure, per-workspace isolation
Pricing Plans
Free TrialPricing checked Oct 16, 2026. Source: github.com/pricing, read Oct 16, 2026
| Plan | Price | Details |
|---|---|---|
| Free | Free |
+3 more Show less
|
| Team | $4 / user/month |
+4 more Show less
|
| Enterprise | $21 / user/month |
+7 more Show less
|
Is SuperLocalMemory worth the price?
Good value
The Free tier is generous for small projects, and the Team tier at $4/user/month is very affordable for startups.
Enterprise at $21/user/month adds compliance features but is still reasonable. This pricing is below typical per-seat rates for developer tools, making it a fair deal for teams needing auditable AI memory.
How SuperLocalMemory's pricing compares
At $4/user/mo, billed monthly, SuperLocalMemory is the most affordable of its 3 comparable direct competitors.
Entry paid plan, monthly price, per user, billed monthly. Pricing checked Oct 16, 2026.
SuperLocalMemory by the numbers
Toolradar data: SuperLocalMemory's entry paid plan ($4/user/mo, billed monthly) ranks #2 of 46 (joint) for price among the AI & Automation tools with a verified entry price per user, where the median is $21.50/user/mo. As of Oct 2026.
| Metric | SuperLocalMemory | Peer median | Position (1 is best) |
|---|---|---|---|
| Entry paid plan | $4/user/mo, billed monthly | $21.50/user/mo | #2 of 46 (joint) tools priced per user, verified price |
| Free plan | Yes | 36% have one | n/a |
Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All AI & Automation data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “SuperLocalMemory by the numbers”, Oct 2026.
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SuperLocalMemory FAQ
How does SuperLocalMemory help developers building AI chat applications ensure their agents remember past conversations reliably?
SuperLocalMemory provides a local-first memory system that runs entirely on your machine, using a three-tier recall mechanism that admits when it doesn't know an answer and layered recall under a token budget. It combines semantic, keyword, entity-graph, and temporal signals for hybrid retrieval, so agents can accurately reconstruct past context. This design minimizes hallucinations and keeps memory consistent without relying on external APIs.
How does SuperLocalMemory differ from Mem0 for teams needing auditable memory storage?
SuperLocalMemory runs entirely on your machine for full data privacy, while Mem0 may involve cloud dependencies. SuperLocalMemory includes a hash-chained audit trail, role-based access, per-workspace isolation, and GDPR-compliant export and erasure, making it a governed memory system suitable for teams that require compliance and transparency.
What are the hardware requirements for using SuperLocalMemory's on-device answer check and document indexing?
The on-device answer check, called Laya, requires Apple Silicon; Windows and Linux users need an online Jev with a key. Document indexing requires 16 GB of RAM and is disabled by default, so you must enable it manually if your system meets the memory requirement.
Which teams benefit most from using SuperLocalMemory's governed memory system?
Teams building AI agents, bots, or chat applications that need reliable, non-hallucinating memory with privacy and compliance controls benefit most. Developers who want local data sovereignty, auditability, and multi-agent sharing with trust scores will find SuperLocalMemory well suited for their projects.
Does SuperLocalMemory include a free tier?
SuperLocalMemory is available on a free tier, with paid plans that provide more usage and features. The open-source AGPL v3 license also allows you to inspect and modify the code freely.
Can SuperLocalMemory retrieve information that was stored at a specific past date?
Yes, SuperLocalMemory supports time-travel queries that let you ask what was true at a past date. This enables agents to reconstruct earlier memory states for debugging, auditing, or context-aware conversations.
How does SuperLocalMemory prevent memory poisoning in multi-agent setups?
SuperLocalMemory uses trust scores for multi-agent sharing to prevent memory poisoning. Each agent's contributions are scored, and the system can weigh or filter memory based on trust levels, keeping the shared memory reliable.
What types of data can SuperLocalMemory store and process?
SuperLocalMemory supports documents and images, using on-device embedding models to process them. It stores and retrieves these data alongside text, enabling agents to reference visual information while maintaining local privacy.
How does SuperLocalMemory pricing compare with other AI & Automation tools?
SuperLocalMemory's entry paid plan ($4/user/mo, billed monthly) ranks #2 of 46 (joint) for price among the AI & Automation tools with a verified entry price per user, where the median is $21.50/user/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Oct 2026.
Source: superlocalmemory.com