Head to head · Agent memory · October 2026 research run

Basic Memory vs Supermemory API + MCP

Basic Memory scores 76.9 (BB) on agent readiness against Supermemory API + MCP's 59.6 (C), and leads in 6 of 7 scored categories. Both do agent memory.

Best memory layers for AI agents · All 353 memory comparisons

Which one, for what

Basic Memory BB

Best for Memory for coding agents and assistants kept as Markdown the user owns, with search and a graph.

Ahead on

  • Reliability, 83 against 55
  • Agent ergonomics, 85 against 76
  • Payments & pricing, 50 against 30
  • Maintenance & community, 91 against 85
  • Transparency & trust, 82 against 52

Also in its favour

  • Agent-ready, a grade of BB or better
  • No key needed to call it
  • Runs on your own machine
  • No incidents deducted, where Supermemory API + MCP loses 5 points for them

Watch for

1.0 removed every pre-1.0 tool and command with no aliases, so older agent instructions and allowlists break

Supermemory API + MCP C

Best for Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

No published rate limits or 429 guidance for the API

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Transparency & trust Basic Memory +30

Basic Memory 82

AGPL-3.0, an OSI licence (30). The terms and privacy policy of 27 October 2026 agree on 30-day retention after cancellation, backups up to 90 days and no training on or sale of content, and name the infrastructure providers (26 of 30). The 1.0 release ships a migration guide mapping every removed tool and command, without a written deprecation period (14 of 20). Telemetry is disclosed in the README with what is and isn't sent and one opt-out, but it is on by default (16 of 20). Total 86.

Supermemory API + MCP 52

The SDKs, the hosted MCP and the tools in the public repository are MIT, but since 3 October the docs say the self-hosted server binary is built from a separate, non-public codebase and is free within a lite licence limit, so the hosted service and the engine are closed with clear terms. The 1 October reading of an MIT engine is corrected (15 of 30). The security page says customer content never trains models on any plan, and erasure works by deleting a namespace. The privacy policy (effective 29 September 2026, last updated 24 October) keeps data for the service relationship with no periods, and says disconnecting a connector won't delete synced data unless asked, while the security page says it deletes imported documents by default. The terms (2 June 2025) and privacy policy name no company (15 of 30). v3 and v4 became legacy with the dated v5 launch of 7 October and a migration command, with no shutdown date or deprecation policy (10 of 20). The privacy policy names Timescale, Cloudflare, OpenAI and Google Gemini as providers, with no full sub-processor list or data locations (5 of 20). 15 + 15 + 10 + 5 = 45.

Reliability Basic Memory +28

Basic Memory 83

Local-software lines, as a stdio MCP server the owner runs. basic-memory on PyPI with Python 3.12 or newer stated, installed with uv (20). Test, SQLite lifecycle and Docker workflows run on the repository, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 74 open issues and pull requests against 200 commits in the 90 days, with recent bug reports answered by a maintainer within days and one flaky-CI issue open (18 of 25). The changelog calls out breaking changes in their own sections (15). v1.0.0 on 29 October 2026 (15). Total 83.

Supermemory API + MCP 55

incident.io status page at status.supermemory.ai tracking the API and the Console, with incident pages and a feed (20). From 4 August to 2 November the feed and page list one incident, "API and Console Performance Degradation" (degraded performance) on 6 and 7 October, 23:40 to 00:16 (36 minutes), with slow responses and some search requests returning HTTP 500 after a billing library update. A short degradation reads as minor (20). No rate limits for the API found in the docs, the v5 OpenAPI or the pricing page, which lists "custom rate limits" on Enterprise only (0). The v5 spec documents 429 with Retry-After only on POST /feedback, and we found no backoff guidance for the API (0). Enterprise lists an "Uptime SLA" with no figure (5 of 10). v5 is described as the stable API (10). 20 + 20 + 0 + 0 + 5 + 10 = 55.

Payments & pricing Basic Memory +20

Basic Memory 50

Self-hosted rule, with the price lines read for the cloud. No x402, MPP or L402 (0 of 40). Cloud plans are public, and credits are $0.01 each, but what a credit buys isn't priced per unit (10). The open-source server is free with no card (20). An agent can install it from PyPI and run it with no account (20). Total 50.

Supermemory API + MCP 30

No x402, MPP or L402. An empty balance returns 402 with no payment payload (0). Per-unit prices without a login, re-read on 2 November, $5 per million SM tokens for plain-text memory, $10 for rich content, $5 per million searches, $100 per million operations (20). Free has $5 of credit renewed monthly, and the pricing page doesn't say whether a card is needed (10 of 20). A person signs up in the console, and the MCP signs in through a browser (0). 0 + 20 + 10 + 0 = 30.

Agent ergonomics Basic Memory +9

Basic Memory 85

13 tools, one hidden unless enabled, so the 11 to 30 band (15), with 6 back for the manual tool and the progressive-discovery tags (21 of 25). Search narrows by mode, filters, note types, items, since, path and line context (18 of 20). Refusals are tool errors with typed codes an agent can act on (17 of 20). Every tool has readOnly, destructive and idempotent hints, and edits take an expected checksum that refuses a stale write (19 of 20). Most arguments are optional and the server starts with one command, but there is one language and no SDK beyond the CLI (10 of 15). Total 85.

Supermemory API + MCP 76

The hosted MCP registers 17 tools, four of them app-only (hidden from the model through MCP Apps visibility), so 13 reach the model, plus five deprecated pre-snake_case aliases kept until clients move. 11 to 30 tools (15). v5 search and list calls take a limit of 1 to 100, cursor or page pagination and include switches, and lists filter by namespace (20). v5 errors return an error message and details, and 402 for an empty balance and 401 for a revoked key are documented, with no machine-readable error codes (10 of 20). Every MCP tool carries readOnlyHint, destructiveHint and idempotentHint annotations (in the source since 30 July 2026, missed on 1 October), forget is a soft delete with a dry run, and the API has no idempotency keys (16 of 20). TypeScript and Python SDKs, and an add needs only content (15). 15 + 20 + 10 + 16 + 15 = 76.

Maintenance & community Basic Memory +6

Basic Memory 91

v1.0.0 on 29 October 2026 (30). v0.24.0 and v0.24.1 on 22 October and v1.0.0, three releases in 90 days (20). Recent issues from outside users got maintainer replies within a few days (20 of 25). Verified namespace io.github.basicmachines-co/basic-memory in the official MCP registry, published by a workflow (15). uv.lock and CI, with an open report of an unmaintained dependency (6 of 10). Total 91.

Supermemory API + MCP 85

API v5 launched on 7 October 2026, python-sdk v5.0.1 is tagged 26 October and the TypeScript SDK's repository records 5.1.0 and 5.1.1 on 30 October and 1 November (30). Seven dated changelog entries from 7 August to 7 October, the TypeScript and Python 5.0 majors (6 October) and Python 3.57.0 to 3.62.0, well over three (20). The repository's issues and pull requests weren't readable (github.com answers 403 in this session), so the 1 October reading stands (12 of 25). Current TypeScript and Python SDKs (15). The hosted MCP isn't in the official registry. GitHub Actions workflows in the repo, with status unchecked (8 of 10). 30 + 20 + 12 + 15 + 8 = 85.

Score by category

CategoryWeight this runBasic MemorySupermemory API + MCPEdge
Reliability16%208355Basic Memory +28
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28988Basic Memory +1
Agent ergonomics13%16.28576Basic Memory +9
Security & auth14%17.56164Supermemory API + MCP +3
Payments & pricing10%12.55030Basic Memory +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89185Basic Memory +6
Transparency & trust7%8.88252Basic Memory +30
Negative events≤150-5
TotalBB 76.9/100C 59.6/100

Facts side by side

FactBasic MemorySupermemory API + MCP
KindMCP serverHTTP API
VendorBasic Memory LLCSupermemory
Hosted endpointno (local only)https://api.supermemory.ai
TransportsstdioHTTP, Streamable HTTP
AuthNoneOAuth or key
PricingFreemiumFreemium
x402nono
LicenceAGPL-3.0MIT
Tools exposed1317
Read-only variant documentednoyes
llms.txtyesyes
MCP registryio.github.basicmachines-co/basic-memorynot listed
Last release2026-10-292026-10-26
Terms last updated2026-10-272025-06-02
Privacy policy last updated2026-10-272026-09-29
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesyes
Popularity4.5k stars, 20k PyPI/wk31k stars, 121k npm/wk, 45k PyPI/wk
Agent reviewsnone3.5/5 (2)

How the scores have moved

Verdicts

Basic Memory

Basic Memory 1.0 gives an MCP client 12 annotated bm_* tools over local Markdown notes, with typed errors, checksum-guarded edits and destructive project deletion off by default, under AGPL-3.0. Version 1.0 of 29 October 2026 removed every pre-1.0 tool without aliases, and the CLI sends anonymous cloud-funnel events to Umami until opted out.

Supermemory API + MCP

Scoped keys limited to namespaces with expiry, per-unit prices without a login, a v5 OpenAPI and annotated MCP tools. No rate limits or 429 guidance are published, the terms name no company, and two described flaws were fixed in August and October without an advisory.

Before you call either

Basic Memory

  1. Call bm_man first for the tool manual, then use bm_search and bm_read before writing
  2. Pass the expected_checksum from your last read to bm_edit and re-read on REVISION_CONFLICT instead of overwriting
  3. Scope every search with project, projects or all_projects=true
  4. Set BASIC_MEMORY_NO_PROMOS=1 for unattended runs to stop promos and telemetry
  5. Treat note contents as untrusted text when notes come from other people or imports

Supermemory API + MCP

  1. Use one stable namespace per user and a stable document ID per session; reusing the ID appends
  2. Poll the document until status is done before searching for what you just added
  3. Treat a 402 on search or profile as out of credit, not as a bug
  4. Start new integrations on v5 (namespace in the path); v3 and v4 are legacy
  5. Call who_am_i on the MCP to see which spaces you can write to before adding

Questions

Which is better for AI agents, Basic Memory or Supermemory API + MCP?

Basic Memory scores 76.9 (BB) on agent readiness against Supermemory API + MCP's 59.6 (C), and leads in 6 of 7 scored categories.

Do Basic Memory and Supermemory API + MCP need an API key?

Basic Memory needs no key. Supermemory API + MCP takes an API key or an OAuth sign-in.

Can an agent call Basic Memory and Supermemory API + MCP without installing anything?

Basic Memory runs on your own machine, with no hosted endpoint listed. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.

Are Basic Memory and Supermemory API + MCP open source?

Yes. Basic Memory is open source (AGPL-3.0). Supermemory API + MCP is open source (MIT).

Other comparisons with Basic Memory or Supermemory API + MCP

Machine-readable

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