Cognee vs Mem0 (2026)

The Standard plan adds OAuth data source integrations for Slack, Notion, Linear and Google Drive, and a GitHub integration reindexes repositories on each push. All of them read content into memory. Native integrations wire Cognee into LangGraph, CrewAI, the Claude Agent SDK, the OpenAI Agents SDK, Google ADK, n8n, Claude Code and Codex. Cognee names no integration that lets an agent write to or act in outside systems.

SourceCognee, cognee.ai/pricing and docs.cognee.ai integrationsread 2026-09-21

Mem0 ships native integrations that wire memory into more than twenty agent frameworks and coding tools, among them LangGraph, CrewAI, the OpenAI Agents SDK, Google ADK, Mastra, Claude Code and Cursor, plus n8n and Zapier, and webhooks notify other systems when memories change. These connect memory to agents, and Mem0 itself does not read from or write to other business systems on an agent's behalf.

SourceMem0, docs.mem0.ai integrations and platform/features/webhooks (indexed in llms.txt)read 2026-09-21

Pipelines orchestrate Tasks into coordinated data processing workflows with a typed runtime context, and developers can build custom tasks and pipelines. They sequence the steps that build and enrich memory. Cognee names no control flow for the customer's own agent workflows.

SourceCognee, docs.cognee.ai core-concepts/building-blocks/pipelines and guides/custom-tasks-pipelinesread 2026-09-21

Mem0 provides a memory layer that agent frameworks call, and it does not orchestrate agent workflows, sequencing or branching itself.

Sourcemem0.airead 2026-09-21

Agents and applications call Cognee, a memory layer, through remember and recall. Cognee names no schedule, event or channel that starts an agent's work without a person or the calling application starting it.

SourceCognee, docs.cognee.ai (full documentation export)read 2026-09-21

The product is an API that agents call, and it has no triggers, scheduling or conversational channels of its own.

Sourcemem0.airead 2026-09-21

Documents, code and application data, including Slack, Notion, Linear, Google Drive and GitHub sources, are ingested into three stores. A relational store holds documents, chunks and provenance, a vector store holds embeddings, and a knowledge graph holds entities and relationships. Recall queries them by vector, graph or hybrid retrieval, with provenance on answers and an optional context index for each dataset. The index and graph over the customer's knowledge persist and stay queryable.

SourceCognee, docs.cognee.ai core-concepts/architecture and cognee.ai/pricingread 2026-09-21

Retrieval runs over the memory store Mem0 extracts from interactions, and no separate document index or knowledge base over the customer's own content is offered alongside it.

SourceMem0, docs.mem0.ai llms.txt and platform/features/entity-scoped-memoryread 2026-09-21

Sessions are short term memory scoped to a user and session ID, holding recent queries, responses and the context used to answer them. Session distillation turns guidance stated in a session into permanent lessons that later recalls respect. User preferences adjust retrieval for each user and agent. Forget can reset only the memory state or delete one dataset without touching others.

SourceCognee, docs.cognee.ai core-concepts/sessions-and-caching, guides/session-distillation and core-concepts/main-operations/forgetread 2026-09-21

Mem0 extracts facts from each interaction into a memory store the agent searches as context on later calls, scoped by user_id, agent_id, app_id and run_id so each customer, agent or session keeps its own memory; run-scoped memories expire independently, memories can be updated, given an expiry date or deleted for one user without touching others, and decay and consolidation keep stale facts from surfacing.

SourceMem0, docs.mem0.ai platform/features/entity-scoped-memory and llms.txtread 2026-09-21

A feedback system lets users rate answers to improve memory, and the permission system controls who can read and write datasets. Cognee names no approval step, consent checkpoint, escalation rule or pause for a person to sign off before an agent acts.

SourceCognee, docs.cognee.ai guides/feedback-system and full documentation exportread 2026-09-21

The product stores and retrieves memories and offers no human review, approval workflow or content guardrails.

Sourcemem0.airead 2026-09-21

In multi user mode, Cognee enforces authentication and permissions scoped to each dataset through users, tenants, roles and access control lists, and each tenant's data sits in a dedicated database. Larger enterprise engagements add SSO. Cognee says it does not currently hold SOC 2, ISO 27001 or an equivalent third party certification.

SourceCognee, docs.cognee.ai cognee-cloud/functionality/data-and-security and core-concepts/multi-user-mode/permissions-system/overviewread 2026-09-21

Enterprise adds SSO and audit logs, memories are partitioned per user, agent and app to keep tenants separate, and the self hosted server runs with its own authentication and API keys. A SOC 2 Type I badge is displayed on the site, which links to a Trust Center.

SourceMem0, mem0.ai/pricing and docs.mem0.ai platform/features/entity-scoped-memoryread 2026-09-21

Agent session traces record what a decorated agent function did on each call, including calls that raised errors, and can be recalled later. Cognee emits OpenTelemetry spans and logs to an OTLP endpoint such as Langfuse, writes structured logs and visualizes memory provenance. The traces cover Cognee's own operations and the decorated call. Cognee names no step by step view of the agent's prompts, tool calls, retrieved knowledge and outputs.

SourceCognee, docs.cognee.ai guides/agent-session-traces, setup-configuration/logging and integrations/opentelemetry-tracingread 2026-09-21

Pro adds advanced analytics and Enterprise adds audit logs of memory reads and writes, and memories can be inspected by user, agent, app and run in the dashboard, giving a record of what the agent stored and recalled. Mem0 sees only the memory calls made to it, not the steps and tool calls in the rest of the agent's run.

SourceMem0, mem0.ai/pricing and docs.mem0.ai platform/features/entity-scoped-memoryread 2026-09-21

Customers can use managed Cognee Cloud or self host the open source software with Docker Compose, a Helm chart for Kubernetes, EC2 or Coolify. Cognee also runs fully locally with Ollama and embedded stores, and Enterprise customers can deploy it in their own cloud.

SourceCognee, docs.cognee.ai how-to-guides/cognee-sdk/deployment and cognee.ai/pricingread 2026-09-21

Customers can run Mem0 as the managed Platform, as open-source software self-hosted with the bundled REST server and dashboard on the customer's own vector store and Postgres, or as an on-premises deployment on the Enterprise plan.

SourceMem0, mem0.ai/pricing and docs.mem0.ai open-source/setup (indexed in llms.txt)read 2026-09-21

Examples and guides show how to build agents on Cognee's memory layer. Cognee names no catalog or set of ready made agents or templates for a customer to adopt.

SourceCognee, cognee.ai/pricing and docs.cognee.ai examples/overviewread 2026-09-21

Example integrations are provided, but no prebuilt agents, templates or installable packs.

Sourcemem0.airead 2026-09-21

The customer configures which LLM provider Cognee uses, from OpenAI, Azure OpenAI and Anthropic to local models through Ollama, and separately chooses the embedding provider, vector store and graph store.

SourceCognee, docs.cognee.ai setup-configuration/llm-providers and embedding-providersread 2026-09-21

The open-source Memory class is configured with the customer's choice of LLM, embedder, vector store and reranker, and Mem0 works with AWS Bedrock and OpenAI-compatible endpoints, so the customer controls which model extracts and ranks memories. Mem0 does not route requests between models itself.

SourceMem0, docs.mem0.ai open-source/configuration (indexed in llms.txt) and github.com/mem0ai/mem0read 2026-09-21

A REST API with an OpenAPI specification covers datasets, ingestion, recall and activity. Cognee also offers a Python API, a CLI and an MCP server for Cursor, Claude Code and other clients, and serve and push connect the SDK to Cognee Cloud or a remote instance.

SourceCognee, docs.cognee.ai api-reference/introduction, python-api and cognee-mcp/mcp-overviewread 2026-09-21

The Platform exposes a REST API for adding, searching, updating, exporting and deleting memories, with Python and TypeScript SDK clients, a CLI and an MCP server, and the open-source edition ships a self-hosted REST API server.

SourceMem0, docs.mem0.ai platform/features/entity-scoped-memory and llms.txtread 2026-09-21

Memory benchmarks published by Cognee measure its own engine. Cognee names no evaluation harness, scored test cases or quality gate a customer runs against its own agent.

SourceCognee, cognee.ai/pricing and docs.cognee.ai (full documentation export)read 2026-09-21

An evaluation framework and benchmark results are published for Mem0's own memory algorithm. Customers get no scored test cases, harness or quality gate for evaluating their own agents.

SourceMem0, docs.mem0.ai core-concepts/memory-evaluation (indexed in llms.txt) and github.com/mem0ai/mem0read 2026-09-21

Web URL ingestion fetches page content with custom extraction rules to build memory, so it builds the corpus and no agent operates a browser at run time. Cognee names no browser, desktop or computer control.

SourceCognee, docs.cognee.ai guides/web-url-ingestionread 2026-09-21

Mem0 is a memory layer and does not automate browsers or computers, and its browser extension only captures memories.

Sourcemem0.airead 2026-09-21