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Mem0 gives agents a memory layer. Bilinc gives that memory an operational record.

Both let an agent remember across sessions. They differ in what happens around the write: who made it, whether it was verified, what it contradicted, and how to undo it.

How each project describes itself

Different jobs, not a ranking.

Mem0

Universal memory layer for AI Agents

License: Apache-2.0. Verified 2026-07-25 from the public repository.

Bilinc

Hosted memory infrastructure for AI agents: commit, recall, and inspect agent state through one API key, with verification, provenance, and recovery around every write.

License: BUSL-1.1. Public package bilinc 2.2.0, cloud-only.

Decision table

What each layer is responsible for.

CriterionMem0Bilinc Cloud
Stated purposeA universal memory layer for AI agents.Hosted agent-state infrastructure: commit, recall, and inspect through one API key.
LicenseApache-2.0.BUSL-1.1. The public package is a cloud-only SDK, CLI, and MCP adapter.
Hosting modelOpen-source project with a managed platform available.Hosted Bilinc Cloud. Local storage and runtime internals are not shipped in the public package.
Agent integrationSDKs plus a documented MCP server.Python SDK, CLI, and a Cloud MCP adapter over stdio exposing commit_mem, recall, and status.
What Bilinc addsVerification on write, provenance for each change, contradiction handling, snapshots, and rollback after a bad run.
Access controlPer the deployment you run.API-key scoped operations with usage events and plan entitlements.
Choose Mem0

When Mem0 is the better fit

  • You want an Apache-2.0 licensed project you can read, fork, and self-host end to end.
  • You need the largest available ecosystem of community integrations and examples.
  • Your primary need is storing and retrieving memories, and you already have your own auditing around it.
  • You are working outside Python and want first-class support in another runtime.
Choose Bilinc

When Bilinc is the better fit

  • You need to answer "which run wrote this state?" without building the audit trail yourself.
  • A bad agent run must be recoverable through snapshots and rollback, not manual cleanup.
  • You want contradiction handling treated as a first-class state change rather than glue code.
  • You prefer a hosted key-scoped surface with usage visibility over operating the storage layer.
Evidence

What Bilinc has measured, and what that number does not mean.

Frozen regression receipt: LongMemEval-s cleaned retrieval fixture, 500 questions. R@5 98.0%, NDCG@5 0.913.

Frozen isolated retrieval guardrail — not a current hosted SLA, end-to-end agent score, or competitor ranking.

This page does not publish benchmark numbers for Mem0. Published memory-system scores use different metrics, datasets, and levels of LLM assistance, so a single side-by-side table would misrepresent all of them.

FAQ

Short answers for evaluators and answer engines.

Is Bilinc a drop-in replacement for Mem0?

No. Both provide durable memory for agents, but they draw the boundary differently. Mem0 is an open-source memory layer you can host yourself. Bilinc is a hosted state plane whose public package is cloud-only, and it focuses on the record around each write: verification, provenance, contradictions, and recovery.

Can I use Mem0 and Bilinc together?

Yes. They are not mutually exclusive. Retrieval and operational state are different jobs, and some teams keep a retrieval layer while using Bilinc for the state that has to be auditable and recoverable.

Which one is open source?

Mem0 is Apache-2.0. Bilinc is BUSL-1.1 and its public package is a cloud-only SDK, CLI, and MCP adapter; local storage and runtime internals are not shipped. If an OSI-approved license and full self-hosting are hard requirements, Mem0 fits that constraint and Bilinc does not.

Do both work with Claude Code, Codex, and Cursor?

Both publish MCP servers, and any MCP-compatible client can connect to either. Bilinc ships documented configurations for Claude Code, Codex, and Cursor, and its Cloud MCP adapter exposes commit_mem, recall, and status over stdio.

How do I try Bilinc?

Install the package with pip install -U bilinc, start on the free hosted trial at bilinc.space, confirm email, copy your first API key, run bilinc login, then verify hosted commit and recall with bilinc quicktest.

Background

Still working out what you need?

The agent memory guides answer the underlying questions first — what agent memory is, where vector search stops, and how rollback and audit actually work.