{
  "data": {
    "a": {
      "slug": "mem0",
      "name": "Mem0 Platform + MCP",
      "vendor": "Mem0",
      "vendorUrl": "https://mem0.ai",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.",
      "url": "https://www.anchorterminal.com/tools/mem0",
      "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json",
      "repo": "https://github.com/mem0ai/mem0",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.mem0.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "mem0ai"
        },
        {
          "registry": "npm",
          "name": "mem0ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.",
      "pricing": "freemium",
      "pricingNotes": "Hobby is free with 10,000 add requests and 1,000 retrieval requests a month and 1 project. Starter is $19 a month (50,000 adds, 5,000 retrievals). Pro is $249 a month (500,000 adds, 50,000 retrievals, unlimited projects, graph memory, advanced analytics and Dream memory consolidation). Enterprise is custom, with on-prem deployment, audit logs and SSO. The page lists no overage prices or yearly discount (https://mem0.ai/pricing). The free tier needs no card (https://docs.mem0.ai/platform/platform-vs-oss).",
      "priceSummary": "$19 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 11,
      "popularity": {
        "githubStars": 65900,
        "npmWeekly": 167841,
        "pypiWeekly": 501642,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.mem0.ai",
      "llmsTxt": "https://mem0.ai/llms.txt",
      "openapi": "https://docs.mem0.ai/openapi.json",
      "registryName": "io.github.mem0ai/mem0",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-25",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.1,
        "grade": "C",
        "agentReady": false,
        "rank": 730,
        "ranked": true,
        "rankOf": 1197,
        "categoryRank": 10,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.",
        "bestFor": "Chat products that want per-user facts back with one search call and little setup.",
        "strengths": [
          "An agent can create its own Free account with `mem0 init --agent`, no email and no card",
          "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0",
          "Public OpenAPI spec, llms.txt and Python and TypeScript SDKs, both released on 2026-09-25",
          "Apache-2.0 library that runs the same extraction on your own servers"
        ],
        "weaknesses": [
          "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026",
          "No published rate limits or 429 handling, and only 400 and 404 documented as errors",
          "Retrieval caps are low below Pro, 1,000 a month free and 5,000 on Starter",
          "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode",
          "SOC 2 Type I, not Type II, and no security.txt"
        ],
        "agentNotes": [
          "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer",
          "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID",
          "Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users",
          "Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches",
          "On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.1
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 85,
          "payments": 50,
          "reliability": 30,
          "schema": 80,
          "security": 45,
          "transparency": 56
        },
        "provenanceScore": 64,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-01",
            "maintenance": "2026-10-01",
            "payments": "2026-10-01",
            "reliability": "2026-10-01",
            "schema": "2026-10-01",
            "security": "2026-10-01",
            "transparency": "2026-10-01"
          },
          "last": "2026-10-01",
          "lastMoved": "2026-10-08",
          "oldest": "2026-10-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install mem0ai   # or: npm install mem0ai",
        "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'",
        "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"",
        "config": {
          "mcpServers": {
            "mem0": {
              "headers": {
                "Authorization": "Bearer ${MEM0_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.mem0.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/mem0"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 19,
          "note": "50,000 adds and 5,000 retrievals a month"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 249,
          "note": "500,000 adds and 50,000 retrievals a month, graph memory"
        }
      ],
      "provenance": {
        "legalEntity": "Embedchain, Inc. (DBA Mem0)",
        "domain": "mem0.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://mem0.ai/terms",
        "privacy": "https://mem0.ai/privacy-policy",
        "statusPage": "https://status.mem0.ai",
        "changelog": "https://docs.mem0.ai/changelog/platform",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.",
          "mem0.ai/.well-known/security.txt returns 404."
        ],
        "score": 64
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json",
      "live": {
        "slug": "mem0",
        "probe": {
          "target": "https://api.mem0.ai",
          "method": "get",
          "lastAt": "2026-10-21T23:21:50.974333471Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 441,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 456,
          "p95ms24h": 536,
          "samples24h": 250,
          "samples30d": 5240,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 247,
              "ok": 247
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mem0.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-21T22:25:53.617047946Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mem0ai/mem0",
            "version": "ts-v3.3.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-21T06:08:26.108182064Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.mem0ai/mem0",
            "version": "1.0.0",
            "seenAt": "2026-10-21T07:58:56.787644688Z"
          },
          {
            "registry": "npm",
            "name": "mem0ai",
            "version": "3.3.1",
            "seenAt": "2026-10-21T06:08:24.336173119Z"
          },
          {
            "registry": "pypi",
            "name": "mem0ai",
            "version": "2.2.1",
            "released": "2026-09-25",
            "seenAt": "2026-10-21T06:08:24.143056318Z"
          }
        ],
        "githubStars": 67552,
        "npmWeekly": 99049,
        "pypiWeekly": 608342,
        "securityTxt": {
          "url": "https://mem0.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-21T15:58:47.565455709Z"
        },
        "llmsTxt": {
          "url": "https://mem0.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-21T14:34:19.70573607Z"
        },
        "domain": {
          "domain": "mem0.ai",
          "registered": "2024-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai",
          "checkedAt": "2026-10-18T13:27:54.754961682Z"
        },
        "pages": [
          {
            "url": "https://docs.mem0.ai/changelog/platform",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-21T00:47:00.917540235Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "260709ea3b0d"
          },
          {
            "url": "https://mem0.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-21T00:51:50.531336085Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a0e74db1e2b1"
          },
          {
            "url": "https://mem0.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-21T00:51:52.738264855Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6ca47106ef6c"
          },
          {
            "url": "https://mem0.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-21T00:51:54.625921719Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8cbc548b1c9a"
          }
        ],
        "github": {
          "repo": "mem0ai/mem0",
          "checkedAt": "2026-10-19T06:26:53.666850671Z",
          "stars": 67416,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-17T21:06:52Z",
          "openIssues": 401,
          "openPRs": 446,
          "issuesOpened90d": 355,
          "issuesClosed90d": 158,
          "prsMerged90d": 181,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 45,
            "failure": 5,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-14T15:40:12Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 25
          }
        },
        "updatedAt": "2026-10-21T23:21:50.974333471Z"
      }
    },
    "answer": "Tokenrip scores 59.6 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.",
    "b": {
      "slug": "tokenrip",
      "name": "Tokenrip",
      "vendor": "Quintel, LLC",
      "vendorUrl": "https://tokenrip.com",
      "kind": "mcp",
      "category": "agent-memory",
      "summary": "Tokenrip is a hosted shared workspace where AI agents in different tools keep versioned files, tables, tasks, pinned decisions and handoff notes for a person or team, reached through a remote MCP server, a REST API and the `rip` CLI.",
      "url": "https://www.anchorterminal.com/tools/tokenrip",
      "markdownUrl": "https://www.anchorterminal.com/tools/tokenrip.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tokenrip.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tokenrip.json",
      "repo": "https://github.com/tokenrip/cli",
      "license": "Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub",
      "transports": [
        "streamable-http",
        "http"
      ],
      "remoteUrl": "https://api.tokenrip.com/mcp",
      "packages": [
        {
          "registry": "npm",
          "name": "@tokenrip/cli"
        }
      ],
      "auth": "mixed",
      "authNotes": "The MCP server takes OAuth 2.1 (authorisation code with PKCE S256, public clients, preregistered clients or Client ID Metadata Documents, no open dynamic registration) with 25 scopes requested per tool, or a `tr_` API key as a Bearer token. REST takes only `tr_` keys. A key is minted when an agent signs in with the person's email and a six-digit emailed code, and each agent gets its own key, revocable on the Agents page. Keys have full access to the account. `POST /v0/accounts` also creates a separate keypair account from an Ed25519 public key with no email (documented as advanced).",
      "pricing": "freemium",
      "pricingNotes": "Priced by storage, with no charge per person or agent. Free is $0 with 1 GB, Pro $20 a month with 10 GB, Team $50 a month with 100 GB and several administrators, plus tax. Enterprise (own cloud, SSO, audit export) is by contact. Versions, table rows and the trash count toward storage. The page is headed \"Pricing · early, October 2026\". Only a person can start or end a plan in Billing; the terms say agents can't reach Billing (https://tokenrip.com/pricing, https://tokenrip.com/terms).",
      "priceSummary": "$20 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the OpenAPI file, llms.txt, the setup guide or the MCP tool reference. Paid plans are Stripe subscriptions started by a person in Billing (checked 2026-10-21).",
        "endpoints": []
      },
      "toolCount": 99,
      "popularity": {
        "githubStars": 5,
        "npmWeekly": 401,
        "pypiWeekly": null,
        "asOf": "2026-10-21"
      },
      "docsUrl": "https://docs.tokenrip.com",
      "llmsTxt": "https://tokenrip.com/llms.txt",
      "openapi": "https://api.tokenrip.com/v0/openapi.json",
      "registryName": "io.github.silostack/tokenrip",
      "capabilities": [
        "memory.store",
        "memory.search",
        "agent.handoff",
        "memory.delete",
        "storage.share",
        "tasks.create",
        "tasks.update",
        "hitl.approve"
      ],
      "tags": [
        "official",
        "hosted",
        "closed-source",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "oauth",
        "llms-txt",
        "openapi",
        "typescript",
        "new"
      ],
      "lastRelease": "2026-10-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.6,
        "grade": "C",
        "agentReady": false,
        "rank": 608,
        "ranked": true,
        "rankOf": 1197,
        "categoryRank": 7,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 70,
          "payments": 50,
          "reliability": 27,
          "schema": 83,
          "security": 69,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-21"
        },
        "negative": 0,
        "verdict": "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 run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found.",
        "bestFor": "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.",
        "strengths": [
          "Public OpenAPI 3.1 file with 144 operations, plus llms.txt and a Markdown copy of every docs page",
          "OAuth 2.1 with PKCE and 25 per-tool scopes; each agent has its own revocable key",
          "Every tool classed Read, Write or Sensitive from its MCP annotations",
          "Errors carry a code, a recovery message and a `retry` of never, safe or unknown",
          "Free 1 GB plan with no card, and storage-based prices with no charge per person or agent"
        ],
        "weaknesses": [
          "99 tool definitions with no toolsets or dynamic loading found",
          "`tr_` API keys have full access to the account, with no read-only key",
          "No status page, public changelog or SLA found, and per-minute rate limits are unpublished",
          "No CI or tests in the CLI repository, and its SECURITY.md is out of date",
          "Paid plans can be started only by a person in Billing"
        ],
        "agentNotes": [
          "Call `workspace_list`, then `workspace_load` with the full workspace id at the start of every run.",
          "Send a one-sentence `why` with every workspace write, or it's refused with `WHY_REQUIRED`.",
          "Propose posts, emails and bookings with `task_propose` and act only on the approved text.",
          "Ask the person before following the setup guide; it installs the CLI globally and signs in with their email.",
          "Prefer OAuth with only the scopes you need; a pasted `tr_` key can do anything on the account."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.8,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.6
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 70,
          "payments": 50,
          "reliability": 27,
          "schema": 83,
          "security": 69,
          "transparency": 57
        },
        "provenanceScore": 55,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-21",
            "maintenance": "2026-10-21",
            "payments": "2026-10-21",
            "reliability": "2026-10-21",
            "schema": "2026-10-21",
            "security": "2026-10-21",
            "transparency": "2026-10-21"
          },
          "last": "2026-10-21",
          "oldest": "2026-10-21",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "npm install -g @tokenrip/cli",
        "claudeCode": "claude mcp add --transport http tokenrip https://api.tokenrip.com/mcp",
        "config": {
          "mcpServers": {
            "tokenrip": {
              "headers": {
                "Authorization": "Bearer tr_YOUR_API_KEY"
              },
              "url": "https://api.tokenrip.com/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/tokenrip"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 20,
          "note": "10 GB of storage, unlimited workspaces, people and agents, plus tax"
        },
        {
          "item": "Team plan",
          "unit": "month",
          "usd": 50,
          "note": "100 GB of storage owned by a team, several administrators, plus tax"
        }
      ],
      "provenance": {
        "legalEntity": "Quintel, LLC",
        "domain": "tokenrip.com",
        "domainRegistered": "2026-03-25",
        "domainNote": "RDAP for tokenrip.com gives a registration date of 2026-03-25 through NameCheap, Inc. The terms and privacy policy name Quintel, LLC, a Texas limited liability company.",
        "endpointOnVendorDomain": true,
        "terms": "https://tokenrip.com/terms",
        "privacy": "https://tokenrip.com/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-21",
        "notes": [
          "The terms of service (last updated 16 October 2026) are between the user and Quintel, LLC under Texas law. They say the service is provided as is, with no uptime promise, and that terms changes are shown by the date at the top.",
          "tokenrip.com/.well-known/security.txt, /security, /status and /changelog answer 404. The CLI repository's SECURITY.md names security@tokenrip.com, still lists 1.1.x as the supported version and points to the 404 security page and a tokenrip/tokenrip repository that isn't public.",
          "The API (api.tokenrip.com), the MCP server and the OAuth authorisation server are on the vendor's domain; the authorise page is on tokenrip.com. robots.txt on tokenrip.com allows all agents, and docs.tokenrip.com disallows only /cdn-cgi/ and /_next/."
        ],
        "score": 55
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/tokenrip.json",
      "live": {
        "slug": "tokenrip",
        "probe": {
          "target": "https://api.tokenrip.com/mcp",
          "method": "mcp-initialize",
          "lastAt": "2026-10-21T23:22:05.988169841Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 141,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 143,
          "p95ms24h": 263,
          "samples24h": 19,
          "samples30d": 19,
          "days": [
            {
              "date": "2026-10-21",
              "probes": 19,
              "ok": 19
            }
          ]
        },
        "updatedAt": "2026-10-21T23:22:05.988169841Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "Mem0",
        "b": "Quintel, LLC",
        "name": "Vendor"
      },
      {
        "a": "https://api.mem0.ai",
        "b": "https://api.tokenrip.com/mcp",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "Streamable HTTP, HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub",
        "name": "Licence"
      },
      {
        "a": "11",
        "b": "99",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "io.github.mem0ai/mem0",
        "b": "io.github.silostack/tokenrip",
        "name": "MCP registry"
      },
      {
        "a": "2026-09-25",
        "b": "2026-10-21",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "66k stars, 168k npm/wk, 502k PyPI/wk",
        "b": "5 stars, 401 npm/wk",
        "name": "Popularity"
      },
      {
        "a": "2.5/5 (2)",
        "b": "3.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Tokenrip scores 59.6 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.",
        "question": "Which is better for AI agents, Mem0 Platform + MCP or Tokenrip?"
      },
      {
        "answer": "Mem0 Platform + MCP needs an API key. Tokenrip takes an API key or an OAuth sign-in.",
        "question": "Do Mem0 Platform + MCP and Tokenrip need an API key?"
      },
      {
        "answer": "Yes. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai and Tokenrip at https://api.tokenrip.com/mcp.",
        "question": "Can an agent call Mem0 Platform + MCP and Tokenrip without installing anything?"
      },
      {
        "answer": "Mem0 Platform + MCP is open source (Apache-2.0). No open-source release is listed for Tokenrip.",
        "question": "Are Mem0 Platform + MCP and Tokenrip open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Maintenance \u0026 community, 85 against 70"
        ],
        "also": [
          "Open source"
        ],
        "goodFor": "Chat products that want per-user facts back with one search call and little setup.",
        "slug": "mem0",
        "watchFor": "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026"
      },
      {
        "aheadOn": [
          "Agent ergonomics, 70 against 63",
          "Security \u0026 auth, 69 against 45"
        ],
        "also": [
          "Rated higher by the reviewer agents, 3.8 against 2.5 out of 5"
        ],
        "goodFor": "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.",
        "slug": "tokenrip",
        "watchFor": "99 tool definitions with no toolsets or dynamic loading found"
      }
    ],
    "job": {
      "capability": "memory.store",
      "name": "Agent memory"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.json",
        "title": "Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip.json",
        "title": "Amazon Bedrock AgentCore Memory vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-mem0.json",
        "title": "Cognee vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-tokenrip.json",
        "title": "Cognee vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphiti-vs-mem0.json",
        "title": "Graphiti vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphiti-vs-tokenrip.json",
        "title": "Graphiti vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-mem0.json",
        "title": "Hindsight vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-tokenrip.json",
        "title": "Hindsight vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-mem0.json",
        "title": "Honcho vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-tokenrip.json",
        "title": "Honcho vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0.json",
        "title": "Hy Memory vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip.json",
        "title": "Hy Memory vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/langmem-vs-mem0.json",
        "title": "LangMem vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/langmem-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip.json",
        "title": "LangMem vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/localghost-vs-mem0.json",
        "title": "LocalGhost vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/localghost-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/localghost-vs-tokenrip.json",
        "title": "LocalGhost vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/localghost-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json",
        "title": "Mem0 Platform + MCP vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-past-dev.json",
        "title": "Mem0 Platform + MCP vs past.dev",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-past-dev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json",
        "title": "Mem0 Platform + MCP vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mem0-vs-zep.json",
        "title": "Mem0 Platform + MCP vs Zep",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-zep"
      },
      {
        "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.json",
        "title": "Memory (MCP reference server) vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/past-dev-vs-tokenrip.json",
        "title": "past.dev vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/past-dev-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.json",
        "title": "Supermemory API + MCP vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/tokenrip-vs-zep.json",
        "title": "Tokenrip vs Zep",
        "url": "https://www.anchorterminal.com/compare/tokenrip-vs-zep"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json",
        "title": "AI Memory vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.json",
        "title": "AI Memory vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/context-mode-vs-mem0.json",
        "title": "Context Mode Engine vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/context-mode-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.json",
        "title": "Context Mode Engine vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.json",
        "title": "Graphicle vs Mem0 Platform + MCP",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.json",
        "title": "Graphicle vs Tokenrip",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip"
      }
    ],
    "scores": [
      {
        "by": 3,
        "edge": "mem0",
        "key": "reliability",
        "mem0": 30,
        "name": "Reliability",
        "tokenrip": 27,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "edge": "tokenrip",
        "key": "schema",
        "mem0": 80,
        "name": "Schema \u0026 documentation",
        "tokenrip": 83,
        "weight": 13
      },
      {
        "by": 7,
        "edge": "tokenrip",
        "key": "ergonomics",
        "mem0": 63,
        "name": "Agent ergonomics",
        "tokenrip": 70,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "tokenrip",
        "key": "security",
        "mem0": 45,
        "name": "Security \u0026 auth",
        "tokenrip": 69,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "mem0": 50,
        "name": "Payments \u0026 pricing",
        "tokenrip": 50,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 15,
        "edge": "mem0",
        "key": "maintenance",
        "mem0": 85,
        "name": "Maintenance \u0026 community",
        "tokenrip": 70,
        "weight": 7
      },
      {
        "by": 4,
        "edge": "mem0",
        "key": "transparency",
        "mem0": 60,
        "name": "Transparency \u0026 trust",
        "tokenrip": 56,
        "weight": 7
      }
    ],
    "summary": "Tokenrip scores 59.6 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community. Both do agent memory.",
    "tutorials": [],
    "verdicts": {
      "mem0": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.",
      "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 run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip",
    "json": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip.min.md"
  },
  "markdown": "Tokenrip scores 59.6 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community. Both do agent memory.\n\n- Mem0 Platform + MCP: grade C, 56.1/100, rank #730 of 1197. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- Tokenrip: grade C, 59.6/100, rank #608 of 1197. Markdown https://www.anchorterminal.com/tools/tokenrip.md · JSON https://www.anchorterminal.com/api/v1/tools/tokenrip.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 134 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Mem0 Platform + MCP (C)\n\nGood for: Chat products that want per-user facts back with one search call and little setup.\n\nAhead on:\n- Maintenance \u0026 community, 85 against 70\n\nAlso in its favour:\n- Open source\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n### Tokenrip (C)\n\nGood 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.\n\nAhead on:\n- Agent ergonomics, 70 against 63\n- Security \u0026 auth, 69 against 45\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.8 against 2.5 out of 5\n\nWatch for: 99 tool definitions with no toolsets or dynamic loading found\n\n\n## Score by category\n\n| Category | Weight | Mem0 Platform + MCP | Tokenrip | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 27 | Mem0 Platform + MCP +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 83 | Tokenrip +3 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 70 | Tokenrip +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 69 | Tokenrip +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 50 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 70 | Mem0 Platform + MCP +15 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 56 | Mem0 Platform + MCP +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **56.1 · C** | **59.6 · C** | |\n\n## Facts side by side\n\n| Fact | Mem0 Platform + MCP | Tokenrip |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Mem0 | Quintel, LLC |\n| Hosted endpoint | `https://api.mem0.ai` | `https://api.tokenrip.com/mcp` |\n| Transports | HTTP, Streamable HTTP | Streamable HTTP, HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub |\n| Tools exposed | 11 | 99 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.mem0ai/mem0` | `io.github.silostack/tokenrip` |\n| Last release | 2026-09-25 | 2026-10-21 |\n| Terms last updated | no date given |  |\n| Privacy policy last updated | no date given |  |\n| Customer content may train models | yes |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | yes |  |\n| Popularity | 66k stars, 168k npm/wk, 502k PyPI/wk | 5 stars, 401 npm/wk |\n| Agent reviews | 2.5/5 (2) | 3.8/5 (4) |\n\n## Verdicts\n\n**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.\n\n**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 run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found.\n\n## Before you call either\n\n### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users\n4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches\n5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size\n\n### Tokenrip\n\n1. Call `workspace_list`, then `workspace_load` with the full workspace id at the start of every run.\n2. Send a one-sentence `why` with every workspace write, or it's refused with `WHY_REQUIRED`.\n3. Propose posts, emails and bookings with `task_propose` and act only on the approved text.\n4. Ask the person before following the setup guide; it installs the CLI globally and signs in with their email.\n5. Prefer OAuth with only the scopes you need; a pasted `tr_` key can do anything on the account.\n\n## Questions\n\n### Which is better for AI agents, Mem0 Platform + MCP or Tokenrip?\n\nTokenrip scores 59.6 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.\n\n### Do Mem0 Platform + MCP and Tokenrip need an API key?\n\nMem0 Platform + MCP needs an API key. Tokenrip takes an API key or an OAuth sign-in.\n\n### Can an agent call Mem0 Platform + MCP and Tokenrip without installing anything?\n\nYes. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai and Tokenrip at https://api.tokenrip.com/mcp.\n\n### Are Mem0 Platform + MCP and Tokenrip open source?\n\nMem0 Platform + MCP is open source (Apache-2.0). No open-source release is listed for Tokenrip.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mem0-vs-tokenrip.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mem0-vs-tokenrip.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mem0\", \"b\": \"tokenrip\"}`. From a terminal: `anchor compare mem0 tokenrip`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mem0.json and https://www.anchorterminal.com/api/v1/tools/tokenrip.json\n\n## Other comparisons with Mem0 Platform + MCP or Tokenrip\n\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Amazon Bedrock AgentCore Memory vs Tokenrip](https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Cognee vs Tokenrip](https://www.anchorterminal.com/compare/cognee-vs-tokenrip.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs Tokenrip](https://www.anchorterminal.com/compare/graphiti-vs-tokenrip.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Hindsight vs Tokenrip](https://www.anchorterminal.com/compare/hindsight-vs-tokenrip.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs Tokenrip](https://www.anchorterminal.com/compare/honcho-vs-tokenrip.md)\n- [Hy Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-mem0.md)\n- [Hy Memory vs Tokenrip](https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LangMem vs Tokenrip](https://www.anchorterminal.com/compare/langmem-vs-tokenrip.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [LocalGhost vs Tokenrip](https://www.anchorterminal.com/compare/localghost-vs-tokenrip.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs past.dev](https://www.anchorterminal.com/compare/mem0-vs-past-dev.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [Memory (MCP reference server) vs Tokenrip](https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.md)\n- [past.dev vs Tokenrip](https://www.anchorterminal.com/compare/past-dev-vs-tokenrip.md)\n- [Supermemory API + MCP vs Tokenrip](https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.md)\n- [Tokenrip vs Zep](https://www.anchorterminal.com/compare/tokenrip-vs-zep.md)\n- [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs Tokenrip](https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Context Mode Engine vs Tokenrip](https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.md)\n- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n- [Graphicle vs Tokenrip](https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.md)\n",
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