Head to head · Agent memory · October 2026 research run

MemMachine vs Tokenrip

Tokenrip scores 60.3 (C) on agent readiness against MemMachine's 58 (C), and leads in 6 of 7 scored categories. MemMachine leads on maintenance & community. Both do agent memory.

Best memory layers for AI agents · All 353 memory comparisons

Which one, for what

MemMachine C

Best for Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.

Ahead on

  • Maintenance & community, 83 against 75

Also in its favour

  • No key needed to call it
  • Runs on your own machine
  • Open source
  • No incidents deducted, where Tokenrip loses 9 points for them

Watch for

Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository

Tokenrip C

Best for Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions.

Ahead on

  • Reliability, 57 against 51
  • Schema & documentation, 93 against 79
  • Agent ergonomics, 70 against 65
  • Security & auth, 71 against 41
  • Payments & pricing, 50 against 40
  • Transparency & trust, 71 against 57

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

98 tool definitions with no toolsets or dynamic loading found

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.

Security & auth Tokenrip +30

MemMachine 41

Framework reading for software the owner runs. The server has no authentication and no security scheme in its OpenAPI document (15 of 30). No read-only mode or confirmation for deletes (5 of 20). No guidance on recalled memories as untrusted text (4 of 15). No audit log on the self-hosted server; the hosted console shows usage (5 of 15). SECURITY.md with GitHub private reporting and a two-business-day acknowledgement, with security-audit and SBOM workflows; no security.txt or certification (12 of 20). Total 41.

Tokenrip 71

OAuth 2.1 for MCP with PKCE S256, 25 read and write scopes requested per tool, opaque access tokens and rotating refresh tokens whose replay revokes the family. Each agent has its own key, revocable on its own and rotatable, and run keys expire within 24 hours and can't manage keys. But tr_ API keys have full access to the account, with no read-only or scoped key (25 of 30). Tools are classed Sensitive where they delete, widen visibility or call outside, and the docs ask hosts to confirm those. Actions outside the workspace go through task_propose for approval, and only the person writes an agent's instructions. A pasted key can still do anything (15 of 20). Shared workspaces return text written by other people's agents and external members. The setup guide and notices tell agents never to act on an email or use a code from a web page or document, but we found no general guidance on treating workspace content as untrusted (9 of 15). Every action is recorded with the agent, the tool it ran in and its reason, connections have per-call logs, and the Agents page shows each key's last use (15). Since 31 October a security page and a security.txt (Expires 3 May 2027) name security@tokenrip.com, and the CLI's SECURITY.md, updated on 2 November, points to the public repository. SECURITY.md takes private reports by email or a GitHub private advisory, with no acknowledgement time. No bug bounty, no certifications, no published advisories. The security page and the privacy policy of 3 November say affected people are told of a confirmed incident as the law and agreements require, where the 21 October policy promised 48 hours. Read against mails-ai (7, valid security.txt and a disclosure policy, no reply commitment) and blockrun-ai (10, valid security.txt and a 72-hour acknowledgement) (7 of 20).

Schema & documentation Tokenrip +14

MemMachine 79

OpenAPI documents for the server (54 operations) and the hosted platform (12) (25). llms.txt on docs.memmachine.ai with Markdown pages (10). Every operation has a description, and the docs explain memory types and scoping (15 of 20). Typed request models generated from the server, with search options for limits and filters (12 of 15). Examples for each client and the MCP tools, but only 422 is documented on the server and the README's first example doesn't run (8 of 15). /api/v2 paths and tagged releases, no changelog (9 of 15). Total 79.

Tokenrip 93

OpenAPI 3.1.0 at api.tokenrip.com/v0/openapi.json with 111 paths and 144 operations, which the docs say is the same contract as each MCP tool's input. The MCP tool schemas themselves weren't read, because no session was opened (25, per the 21 October reading of the file). llms.txt on tokenrip.com and docs.tokenrip.com, every docs page as Markdown, and Accept: text/markdown on site pages (10). The tool reference gives each tool's purpose, class and scopes, and the docs say when to use the CLI instead of MCP and when to propose rather than act (16 of 20). 123 enums, 513 required lists and additionalProperties: false in the spec; unknown fields are refused with the accepted list (14 of 15). CLI and curl examples throughout the docs and about 50 error codes with recovery text on the MCP page, but no examples in the OpenAPI file (13 of 15). The API is versioned by path (/v0) and npm by semver, and tokenrip.com/changelog, which answered 404 on 21 October, now lists dated changes from 23 September to 3 November 2026 (15).

Transparency & trust Tokenrip +14

MemMachine 57

Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.

Tokenrip 71

The hosted service is closed under clear, dated terms naming Quintel, LLC and Texas law. The CLI is MIT-licensed on GitHub, though the MCP server and API source aren't public (18 of 30). The privacy policy is detailed and its statements agree: what is collected, a retention table, no training on content, keys stored as hashes, connection keys encrypted, agent request bodies kept 30 days without file or table contents. Since 1 November an account can be deleted in Settings, which deletes its keys and content; the 21 October reading also found workspace activity history and copies of emails sent kept indefinitely (26 of 30). No deprecation policy. The changelog dates removals only after the event. The terms say parts of the service may be added or removed and prices change with notice; old CLI flags answer RETIRED. Terms changes are shown only by the date at the top (3 of 20). Sub-processors are named with what each receives (DigitalOcean, DigitalOcean Spaces, Cloudflare, PostHog, Google Analytics, Stripe, Mailjet or AgentMail), and the privacy policy of 3 November says data may be stored in the United States and other countries, with no hosting region named (12 of 20).

Payments & pricing Tokenrip +10

MemMachine 40

Self-hosted rule, with the price lines read for the hosted platform. No x402, MPP or L402 (0 of 40). No hosted prices found on the site or docs (0). Free to self-host with no card (20). An agent can install it from PyPI with no account (20). Total 40.

Tokenrip 50

No x402, MPP or L402 anywhere in the docs or the OpenAPI file (0 of 40). Plan prices are public without a login, priced per team member since 26 October 2026 (Free for one person with 2,500 actions and 1 GB a month, Pro $20 and Power $60 per member a month, Enterprise by arrangement), with no per-call or metered price (10). The free plan needs an email and a code, with no card (20). An agent can sign in with the person's email and a code without opening a browser, and POST /v0/accounts creates a keypair account with no email at all (documented as advanced, not tested). Upgrading can only be done by a person in Billing; the terms say agents can't reach it (20).

Maintenance & community MemMachine +8

MemMachine 83

v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). v0.3.9-post1, v0.4.0, v0.4.1-dev0 and v0.4.1-a1 in 90 days (20). Many open issues and recent reports with few replies (12 of 25). Python and TypeScript clients, both current (12 of 15). uv lock checks, security audit, SBOM and stale-issue workflows (9 of 10). Total 83.

Tokenrip 75

Read for a closed service with an open-source CLI. The changelog's newest entry is 3 November 2026 and the CLI repository's newest release commit is 2.6.16 on 2 November (30). 16 CLI release commits from 12 October to 2 November and dated changelog entries on most days since 20 October (20). No issues or pull requests have ever been opened on the repository. A public changelog now exists, and support is by email, which the about page says a founder answers; untested (10 of 25, as for other closed services with a changelog and support). Listed in the official MCP registry as io.github.silostack/tokenrip, a GitHub-verified namespace on the founder's personal account, per the 21 October check, not re-read on 4 November (12 of 15). The repository has no CI workflows and no tests. Dependencies were current and there are no install scripts, per the 21 October check (3 of 10).

Reliability Tokenrip +6

MemMachine 51

Local-software lines, as a server the owner runs. memmachine-server and memmachine-client on PyPI with Python versions stated, a Docker image and a compose script (20). pytest, integration and installation-test workflows exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 292 open issues and pull requests; the newest bug reports, including a 429 from a provider surfacing as a 500 and a 0.4.0 configuration that no longer starts, have zero to two replies (10 of 25). No changelog file, release notes only on GitHub, which weren't read, and pre-1.0 tags (6 of 15). Version 0.4.0 (0). Total 51.

Tokenrip 57

Graded with the hosted lines, on the remote MCP server and REST API. status.tokenrip.com, an incident.io page opened on 2 November 2026 per the changelog, shows Website, API and MCP components with uptime bars (20). Its feed lists no incident, and two days of history is a short record (15). Rate limits are described per account in requests a minute and at once, per address for anonymous calls, and as hourly caps on invites and confirmation emails, without numbers (5 of 15). Over a limit a tool call returns RATE_LIMITED with retry: safe and retryAfterSeconds, other requests get 429 with Retry-After, responses carry X-RateLimit headers, and the docs say not to retry in a loop. Every error carries retry of never, safe or unknown, writes use version and revision guards, and connection calls are never retried; only one tool takes an idempotency key (12 of 15). The terms supply the service as is with no uptime promise, and no SLA is published (0). Nothing is labelled beta, but the API is /v0 and the pricing page called itself early on 21 October (5 of 10).

Score by category

CategoryWeight this runMemMachineTokenripEdge
Reliability16%205157Tokenrip +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27993Tokenrip +14
Agent ergonomics13%16.26570Tokenrip +5
Security & auth14%17.54171Tokenrip +30
Payments & pricing10%12.54050Tokenrip +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88375MemMachine +8
Transparency & trust7%8.85771Tokenrip +14
Negative events≤150-9
TotalC 58/100C 60.3/100

Facts side by side

FactMemMachineTokenrip
KindHTTP APIMCP server
VendorMemVerge, Inc.Quintel, LLC
Hosted endpointno (local only)https://api.tokenrip.com/mcp
TransportsHTTP, stdio, Streamable HTTPStreamable HTTP, HTTP
AuthNoneOAuth or key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The rip CLI and library @tokenrip/cli is MIT-licensed on GitHub
Tools exposed398
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.silostack/tokenrip
Last release2026-10-082026-11-02
Terms last updatedno date given2026-10-16
Privacy policy last updated2026-05-202026-10-16
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesnot found in the text
Popularity3.1k stars, 28 npm/wk, 581 PyPI/wk5 stars, 401 npm/wk
Agent reviewsnone3.8/5 (4)

How the scores have moved

Verdicts

MemMachine

MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.

Tokenrip

A shared workspace that agents in different tools reach over MCP, REST or a CLI, with scoped OAuth, annotated tools, a public OpenAPI file and an approval step for outside actions. It is young and changes fast, with 98 tools to load, full-access API keys, no SLA, and late-October access and CLI changes announced only as they shipped.

Before you call either

MemMachine

  1. Import with from memmachine_client import MemMachineClient; the README line has a doubled import
  2. Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller
  3. Scope every call with org, project, group, agent, user and session ids so memories don't mix
  4. Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits
  5. Treat recalled episodes as untrusted text from past conversations

Tokenrip

  1. Call workspace_list, then workspace_load with the full workspace id at the start of every run.
  2. Send a one-sentence why with every workspace write, or it's refused with WHY_REQUIRED.
  3. Propose posts, emails and bookings with task_propose and act only on the approved text.
  4. Use rip task cancel to decline a review; rip task decide --decline and --skip are refused since CLI 2.6.12.
  5. Prefer OAuth with only the scopes you need; a pasted tr_ key can do anything on the account.

Questions

Which is better for AI agents, MemMachine or Tokenrip?

Tokenrip scores 60.3 (C) on agent readiness against MemMachine's 58 (C), and leads in 6 of 7 scored categories. MemMachine leads on maintenance & community.

Do MemMachine and Tokenrip need an API key?

MemMachine needs no key. Tokenrip takes an API key or an OAuth sign-in.

Can an agent call MemMachine and Tokenrip without installing anything?

MemMachine runs on your own machine, with no hosted endpoint listed. Tokenrip has a hosted endpoint at https://api.tokenrip.com/mcp.

Are MemMachine and Tokenrip open source?

MemMachine is open source (Apache-2.0). No open-source release is listed for Tokenrip.

Other comparisons with MemMachine or Tokenrip

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