- Compare
- Bilinc vs Supermemory
Supermemory gives agents a memory API. 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, where it came from, what it replaced, and how to undo it.
Different jobs, not a ranking.
Each side in its own words, with the license as published.
“Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.”
License: MIT. Verified 2026-10-23 from the public repository.
Hosted memory infrastructure for AI agents: commit, recall, and inspect agent state through one API key, with a source, a history, and recovery around every write.
License: BUSL-1.1, source-available. Public package bilinc 2.6.0, cloud-only.
What each layer is responsible for.
| Criterion | Supermemory | Bilinc Cloud |
|---|---|---|
| Stated purpose | A memory and context engine and app, offered as a memory API. | Hosted agent-state infrastructure: commit, recall, and inspect through one API key. |
| License | MIT for the public repository. The self-hosted binary is free within its lite license limit. | BUSL-1.1, source-available. The public package is a cloud-only SDK, CLI, and MCP adapter. |
| Hosting model | A hosted API; a self-hosted local binary on one machine, as one process; and Supermemory Enterprise, the full platform run for your organization. | Hosted Bilinc Cloud. Local storage and runtime internals are not shipped in the public package. |
| Agent integration | An API, plugins, and an MCP server. | Python SDK, CLI, a Cloud MCP adapter over stdio, and a remote MCP server signed in with OAuth. |
| What Bilinc adds | — | A source and a history for every change, snapshots, diff, and rollback after a bad run. |
When each one fits.
When Supermemory is the better fit
- You want a memory and context engine you can also run on your own machine, within the limits of its lite license.
- You want the hosted Supermemory API and its plugins, or Supermemory Enterprise run for your organization.
- Your primary need is storing and retrieving memory and context, and you already have your own auditing around it.
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 every earlier version of a memory kept in its history instead of overwritten.
- You prefer a hosted key-scoped surface with usage visibility over operating the storage layer.
Short answers.
Is Bilinc a drop-in replacement for Supermemory?
No. Both provide durable memory for agents, but they draw the boundary differently. Supermemory describes itself as a memory and context engine, offered as a hosted API, a self-hosted local binary and an enterprise platform. Bilinc is a hosted state plane whose public package is cloud-only, and it focuses on the record around each write: where it came from, what it replaced, and how to roll it back.
Can I use Supermemory and Bilinc together?
Yes. They are not mutually exclusive. Building and retrieving memory and keeping an operational record are different jobs: you could keep one layer for retrieval and use Bilinc for the state that has to be auditable and recoverable.
Which one can I run myself?
Supermemory documents a self-hosted local binary that is free within its lite license limit and built for individual developers. In its own words, the server source is not in the public repository, the local version runs on one machine as one process, and webpage ingestion goes through Firecrawl. Supermemory Enterprise is the full platform, run for your organization. Bilinc is BUSL-1.1, source-available, and its public package is a cloud-only SDK, CLI, and MCP adapter; local storage and runtime internals are not shipped.
Do both work with Claude, Cursor and other MCP clients?
Both publish MCP servers, and any MCP-compatible client can connect to either. Bilinc documents setups for Claude, ChatGPT, Codex, Cursor and other clients, through a remote server signed in with OAuth or the local adapter in the bilinc package.
How do I try Bilinc?
Install the package with pip install -U bilinc, run bilinc login to sign in from your browser (the free tier needs no card), then verify hosted commit and recall with bilinc quicktest.
Place Bilinc against the rest.
The memory guides answer the questions underneath: what agent memory is, where vector search stops, and how rollback and audit work.