Open source you can run yourself
The Mem0 library is Apache-2.0 with a large following on GitHub, and the README offers a self-hosted server alongside the cloud platform.
Compare/Mem0
MeshTale vs Mem0:memory inside your app, or shared by your team.
Mem0 is a memory layer developers build into their own agents and apps. MeshTale is one governed memory a whole team and its AI tools share. Different jobs, so here is where each one fits.
Last checked 29 Oct 2026, from Mem0's own pages.
- Add personalised memory inside your own app: Mem0Mem0
- Run an Apache-2.0 library on your own servers: Mem0Mem0
- Share one memory across people and several AI tools: MeshTaleMeshTale
- Pull in Slack threads, Drive docs and meeting notes: MeshTaleMeshTale
- Keep each client separate, with every recall logged: MeshTaleMeshTale
- Show a published SOC 2 Type 1 and HIPAA claim: Mem0Mem0
Mem0 0MeshTale 0Different jobs, both valid.
Based on the pick-when lists further downIllustrative animation
Where Mem0 is strong,in its own words and docs.
A memory layer for developers adding personalised memory to their own agents and apps. These are the things it does well, taken from the sources listed at the bottom of this page.
A simple drop-in API
Mem0 describes itself as drop-in memory infrastructure for AI agents and apps, with scoping by user, agent, app and session.
Deployment options
Its homepage lists Kubernetes, private cloud and air-gapped deployment; on-prem is part of the Custom plan.
Generous free usage
The free plan covers unlimited end users with monthly add and retrieval allowances, and an overage cap you set.
Mem0 and MeshTale,side by side.
"Not stated" means we checked Mem0's pages and found nothing either way. It does not mean the feature is missing.
- Yes
- Partly
- Not stated
- No
| What you are comparing | Mem0 | MeshTale |
|---|---|---|
| What it is | A memory layer for AI agents and apps: an open-source library and SDK, a self-hosted server and a cloud platform. | One governed memory for every person and AI agent on a team: hosted app, MCP, REST API with workspace-scoped keys, and a command-line sync tool. |
| Who it is for | Developers building agents and apps; an enterprise tier is offered. | Teams and agencies that share context across people and AI agents, usually for several clients. |
| Open source and self-hosting | YesApache-2.0 library and a self-hosted server; on-prem on the Custom plan. The README notes some benchmark results use optimisations not in the open-source SDK. | PartlySource-available under FSL-1.1-MIT. Runs as a hosted service; a supported self-host offering is not part of the plans. |
| Separate spaces per client | PartlyMemories are scoped by user, agent, app and session IDs that you manage in your own code. | YesOne workspace per client, separate by default: one client's context never reaches another client's agent. |
| Review before recall | Not statedNothing either way on the pages we checked. | YesNew memories can wait in a review queue for a person's OK; trust rules let matching items skip it. |
| Personal-data masking | Not statedNothing either way on the pages we checked. | YesEmails, phone numbers and ID numbers are detected and can be masked before storage, with per-workspace data policies. |
| When memories disagree | PartlyAutomatic. The current platform adds new memories and keeps contradictions as history; consolidation ("Dream") is on the Custom plan. A human alert step is not stated. | YesConflict alerts. When two memories disagree a person picks which is accurate (or keeps both with context); the other is marked superseded and the decision is logged. |
| Connectors to business tools | PartlyFramework integrations such as LangGraph and CrewAI; custom integrations on the Custom plan. Connectors to tools like Slack or Drive are not stated. | Yes26 connectors, including Slack, Microsoft Teams, Gmail, Notion, Google Drive, Jira, GitHub, HubSpot, Granola and Zoom, plus webhooks and export. |
| MCP, works with AI tools | YesA hosted Mem0 MCP endpoint with API-key sign-in. | YesTwo tools to connect; works in Claude Code, Cursor, Codex, Gemini, Grok, Windsurf, Zed and anything that speaks the protocol. |
| Built-in chat with citations | NoNo end-user chat product; a dashboard for developers. | YesChat with citations on every plan; every answer points back to its sources. |
| Audit log | PartlyAudit logs are listed on the Custom plan. | YesEvery recall is logged: which agent, which workspace, what came back, when. History kept 7 days to 2 years by plan. |
| Compliance claims | YesIn its own words: "SOC 2 (Type 1), HIPAA, and GDPR compliant". | None claimedMeshTale makes no certification claims. |
| Pricing model | Free plan with monthly usage allowances; a Custom plan through sales. | Free tier, no card required. Paid plans: Pro, Agency, Scale and Enterprise. |
Mem0 compliance claims are quoted as Mem0 states them. MeshTale facts come from MeshTale's own product and pricing pages.
Which one to pick,depending on the job.
If the left column sounds like you, Mem0 is probably the better fit, and that is fine.
Pick Mem0 when
- You are a developer adding personalised memory to your own app or agent.
- You want an Apache-2.0 library you can self-host, or an air-gapped deployment.
- You are happy to manage user, agent and session IDs in code.
Pick MeshTale when
- The memory is shared by a team of people and several AI tools.
- Context comes in from business tools like Slack, Drive and Granola.
- Each client stays separate, with a recall log, review queue and citations out of the box.
Worth knowing. Mem0 publishes a SOC 2 Type 1 and HIPAA claim. MeshTale makes no certification claim.
Last checked 29 Oct 2026
Where these facts come from
Every Mem0 fact on this page comes from Mem0's own website, docs or official GitHub repository, opened on 29 October 2026. Products change; if something here is out of date, tell us and we will fix it.
Building it yourself, or keeping memory on your own computer? See those comparisons.
- mem0.aiPositioning, deployment options, compliance claim
- mem0.ai/pricingFree and Custom plans, on-prem, SSO, audit logs
- github.com/mem0ai/mem0Licence, self-hosted server, memory levels
- docs.mem0.ai: graph memoryScoping by user, agent, app and run IDs
- docs.mem0.ai: v2 to v3 migrationAdd-only memory, contradictions kept as history
- docs.mem0.ai: MCP cookbookHosted MCP endpoint
Questions aboutMeshTale and Mem0.
Not in the same way. Mem0's library is Apache-2.0 and can be self-hosted. MeshTale is source-available under FSL-1.1-MIT and runs as a hosted service.
Yes, they do different jobs: Mem0 sits inside an app you build, MeshTale is the shared memory your team's AI tools connect to over MCP. MeshTale has no Mem0 connector.
No. MeshTale makes no certification claims. Mem0 states it is SOC 2 (Type 1), HIPAA and GDPR compliant.
Give every agent and every teammatethe right context.
One governed memory, a workspace per client, and a log of every answer. Start on the free tier and see if it fits.
Free tier, no card required.