Mem0 Alternatives (2026): 7 AI Memory Layers Compared on Scope, Time-Awareness and Cost
Comparison · September 2026 · 5 min read
TL;DR
The best Mem0 alternatives in 2026 are Sentra, Zep, Letta, Cognee, Supermemory, LangMem and Graphiti. Mem0 is the most widely adopted memory layer for personalized assistants: it extracts facts from conversations and keeps a compact memory per user, agent or session. Teams look for an alternative when they hit one of three limits: memory that is scoped to one user or agent when several agents need the same facts, facts that do not carry when they became true and when they stopped, or knowledge that lives in Slack, email and tickets rather than in chat. Sentra is the alternative built for the first and third: one organization-wide memory, built from more than 200 tools, that every agent and every person reads over REST and MCP, with a time stamp and permissions on every fact. Zep is the strongest choice for temporal per-user memory, Letta for stateful autonomous agents, and Cognee, Graphiti and LangMem for open-source builds. The ranking, a comparison table and a decision rule are below.
Why teams look for a Mem0 alternative
Mem0 is a good default for a single assistant that should remember its users. Its write path extracts candidate facts from each exchange and decides whether to add, update, delete or ignore each one, which keeps memory small and retrieval cheap. The limits show up when the use case grows past that shape.
- Scope. Every memory is attached to a user, agent or run identifier. Five agents serving the same customer keep five separate memories, and none of them knows what the others learned.
- Source. Mem0 learns from the conversations it sees. Decisions made in a Slack thread, a meeting or a Jira ticket never reach it unless someone pipes them in.
- Time. Updating a fact replaces what was there. Agents that need to know what was true last quarter, or why a decision changed, need history kept alongside the current value.
- Governance. Company knowledge carries permissions from the system it came from. Per-user chat memory was not designed to inherit them.
The 7 best Mem0 alternatives, ranked
- Sentra. Organization-wide memory for teams and AI agents. Sentra reads Slack, Gmail, Google Drive, Microsoft Teams, Jira, Confluence, Notion, GitHub, Salesforce and HubSpot, resolves what they say into facts with a validity window, source and permissions, and serves one memory to every agent and person over REST and MCP. On Terminal-Bench 2.1 the Sentra-enabled agent scored 88.31% mean reward against an 83.37% baseline at 72.6% lower model cost.
- Zep. A temporal knowledge graph for agent memory, built on the open-source Graphiti engine. It invalidates changed facts and keeps them as history, which makes it the closest like-for-like upgrade from Mem0 for conversational agents.
- Letta. The framework that grew out of the MemGPT research project, for stateful agents that manage their own memory blocks across long-running tasks.
- Cognee. An open-source, Apache 2.0 graph memory engine that builds a knowledge graph from text, files and URLs at ingestion, for teams that want to self-host and shape the graph.
- Supermemory. A memory API aimed at developers who want to add long-term memory and document recall to apps quickly, with connectors for common sources.
- LangMem. LangChain's memory library for LangGraph agents, with tools for extracting and updating long-term memories inside an existing LangGraph stack.
- Graphiti. Zep's open-source temporal knowledge graph engine on its own, for teams that want time-aware graph memory without the managed platform.
Comparison: Mem0 and its alternatives
| Tool | Memory scope | Learns from | Time-aware history | Open source | Best for |
|---|---|---|---|---|---|
| Sentra | Organization-wide, shared by all agents and people | 200+ tools: Slack, email, meetings, tickets, docs, CRM | Yes, bi-temporal with history | No, managed with VPC and on-prem options | Several agents and teams working from one current view of the company |
| Mem0 | Per user, agent or session | Conversations | Updates replace prior values | Yes, with a managed platform | Personalized assistants |
| Zep | Per user, agent or group graph | Conversations and business data | Yes, temporal graph | Graphiti engine is open source | Conversational agents tracking changing user state |
| Letta | Per agent | Agent interactions | Through agent-managed memory | Yes | Long-running autonomous agents |
| Cognee | Per dataset, self-defined | Text, files, URLs | Partly, through graph updates | Yes, Apache 2.0 | Self-hosted graph memory |
| Supermemory | Per user or app | Documents and conversations | Limited | Partly | Fast long-term memory for apps |
| LangMem | Per agent or namespace | LangGraph conversations | Through memory updates | Yes | LangGraph-native agents |
| Graphiti | Per graph | Episodes you ingest | Yes, temporal graph | Yes | Building your own temporal memory |
Mem0 vs Sentra in one paragraph
Mem0 remembers what a user told an assistant. Sentra remembers what a company knows. If the job is personalization, remembering a customer's preferences across chats, Mem0 is the lighter and cheaper fit. If the job is giving a sales agent, a support agent and a coding agent the same answer about a customer, a decision or a deadline, the memory has to be shared, has to learn from the tools where the work happens, and has to know when each fact changed. That is the gap Sentra was built for. The two also combine: some teams keep Mem0 for per-user preferences and point their agents at Sentra for company knowledge. The full breakdown is in Sentra vs Mem0.
How to choose
- Several agents and people need the same current, governed company knowledge: Sentra.
- A conversational agent needs time-aware memory of each user: Zep.
- A long-running autonomous agent needs to manage its own state: Letta.
- You want to self-host an open-source graph: Cognee or Graphiti.
- You want to add long-term memory to an app quickly: Supermemory.
- Your agents already run on LangGraph: LangMem.
- One assistant needs to remember its users cheaply: stay on Mem0.
Frequently Asked Questions
What is the best alternative to Mem0?
For shared company knowledge across several agents and teams, Sentra. For a like-for-like upgrade with time-aware per-user memory, Zep. For open source, Cognee or Graphiti.
Is Zep better than Mem0?
Zep keeps a temporal graph, so it records how facts change over time, while Mem0 keeps a compact current memory per user. Zep suits agents that need history; Mem0 suits lighter personalization.
Can Mem0 share memory across multiple agents?
Mem0 memory is attached to user, agent and run identifiers, so sharing means designing around those scopes. Sentra keeps one organization-wide memory that every agent reads by default, with permissions inherited from each source.
Does Mem0 learn from Slack, email and meetings?
Not on its own; it learns from the conversations it processes. Sentra connects to Slack, email, calendars, meetings, tickets and CRM directly and resolves them into facts.
Is there an open-source alternative to Mem0?
Yes. Cognee, Letta, LangMem and Graphiti are open source. Mem0 itself also has an open-source core.
Which Sentra is this?
Sentra at sentra.app is an organizational memory layer for teams and AI agents. It is unrelated to Sentra.io, the data security company.