{
  "data": {
    "a": {
      "slug": "honcho",
      "name": "Honcho",
      "vendor": "Plastic Labs",
      "vendorUrl": "https://honcho.dev",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Memory API that models each participant (a peer) in a conversation.",
      "url": "https://www.anchorterminal.com/tools/honcho",
      "markdownUrl": "https://www.anchorterminal.com/tools/honcho.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/honcho.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/honcho.json",
      "repo": "https://github.com/plastic-labs/honcho",
      "license": "AGPL-3.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.honcho.dev/v3",
      "packages": [
        {
          "registry": "pypi",
          "name": "honcho-ai"
        },
        {
          "registry": "npm",
          "name": "@honcho-ai/sdk"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key (`hch-...`) on api.honcho.dev. The create-key endpoint mints further keys scoped to a workspace, peer or session, with an optional expiry, and they're revocable from the API Keys page. The hosted MCP at mcp.honcho.dev takes a key as a Bearer header or an OAuth token, plus an optional workspace header. The AgentCash endpoints take x402 or MPP payment instead of a key, with wallet sign-in for the free ones.",
      "pricing": "usage",
      "pricingNotes": "Ingestion (storage plus background reasoning) is $2.00 per million, and queries through `chat` cost $0.001 (minimal), $0.01 (low), $0.05 (medium), $0.10 (high) or $0.50 (max) each. Context retrieval is listed as unlimited. Startups that have raised under $5 million get $1,000 of credit and 12 months of subsidised pricing (https://honcho.dev/). New organisations get $100 of free credit (https://github.com/plastic-labs/honcho). Over x402 the ingestion price is $2 per million tokens of message content, with a $0.001 minimum and a $5.00 maximum per call (https://agentcash.honcho.dev/openapi.json).",
      "priceSummary": "$0.001 / call",
      "where": "hosted",
      "x402": {
        "level": "yes",
        "evidence": "An AgentCash storefront at agentcash.honcho.dev lists 16 POST endpoints under /api/honcho/. Storing messages and chat are paid over x402 or Tempo MPP on Base, Solana or Tempo. Messages cost $2 per million tokens (minimum $0.001, maximum $5.00), chat $0.001 to $0.50 by reasoning level, and the other endpoints are free (https://agentcash.honcho.dev/openapi.json, checked 2026-09-30).",
        "endpoints": [
          {
            "url": "https://agentcash.honcho.dev/api/honcho/messages",
            "priceUsd": 0.001,
            "network": "eip155:8453"
          },
          {
            "url": "https://agentcash.honcho.dev/api/honcho/chat",
            "priceUsd": 0.001,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 7400,
        "npmWeekly": 17913,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://honcho.dev/docs",
      "llmsTxt": "https://honcho.dev/docs/llms.txt",
      "openapi": "https://honcho.dev/docs/v3/openapi.json",
      "registryName": "io.github.plastic-labs/honcho",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "x402",
        "stablecoin",
        "mcp",
        "oauth",
        "llms-txt",
        "python",
        "typescript",
        "open-source",
        "self-hosted"
      ],
      "lastRelease": "2026-09-24",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.2,
        "grade": "B",
        "agentReady": false,
        "rank": 188,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 2,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 73,
          "payments": 80,
          "reliability": 50,
          "schema": 79,
          "security": 48,
          "transparency": 69
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.",
        "strengths": [
          "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints",
          "Keys can be minted per workspace, peer or session, with an expiry, through the API",
          "Context retrieval listed as unlimited, with reasoning billed only when you call chat",
          "Hosted MCP in the official registry, plus OpenAPI specs for v1 to v3",
          "AGPL-3.0 server, the same code that runs the hosted service"
        ],
        "weaknesses": [
          "No published rate limits, 429 guidance or SLA",
          "Changelog entries carry no dates and the repo has no GitHub releases",
          "The MCP tool list is sent on connect, not documented",
          "No security.txt, audit log or prompt-injection guidance found",
          "AGPL-3.0 server licence"
        ],
        "agentNotes": [
          "Get or create the workspace with POST /v3/workspaces before writing sessions and messages",
          "Batch up to 100 messages per request, each under 25,000 characters",
          "Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal",
          "Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace",
          "Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.2
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 73,
          "payments": 80,
          "reliability": 50,
          "schema": 79,
          "security": 48,
          "transparency": 56
        },
        "provenanceScore": 82
      },
      "connect": {
        "install": "pip install honcho-ai   # or: npm install @honcho-ai/sdk",
        "http": "curl -X POST https://api.honcho.dev/v3/workspaces -H \"Authorization: Bearer $HONCHO_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"id\":\"workspace-123\",\"metadata\":{}}'",
        "claudeCode": "claude mcp add honcho --transport http \"https://mcp.honcho.dev\" --header \"Authorization: Bearer $HONCHO_API_KEY\"",
        "config": {
          "mcpServers": {
            "honcho": {
              "headers": {
                "Authorization": "Bearer ${HONCHO_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.honcho.dev"
            }
          }
        },
        "x402": "curl -s -i -X POST https://agentcash.honcho.dev/api/honcho/messages -H 'content-type: application/json'\n# 402 -\u003e pay over x402 (USDC on eip155:8453, or Solana) or Tempo MPP -\u003e retry. Request schemas at https://agentcash.honcho.dev/openapi.json"
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/honcho"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Ingestion",
          "unit": "1m-tokens",
          "usd": 2,
          "note": "Storage plus background reasoning. $0.001 minimum per call over x402"
        },
        {
          "item": "chat, minimal reasoning",
          "unit": "call",
          "usd": 0.001
        },
        {
          "item": "chat, low reasoning",
          "unit": "call",
          "usd": 0.01
        },
        {
          "item": "chat, medium reasoning",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "chat, high reasoning",
          "unit": "call",
          "usd": 0.1
        },
        {
          "item": "chat, max reasoning",
          "unit": "call",
          "usd": 0.5
        }
      ],
      "provenance": {
        "legalEntity": "Plastic Labs, Inc.",
        "domain": "honcho.dev",
        "domainRegistered": "2022-01-26",
        "endpointOnVendorDomain": true,
        "terms": "https://app.honcho.dev/tos",
        "privacy": "https://app.honcho.dev/privacy",
        "statusPage": "https://status.honcho.dev",
        "changelog": "https://honcho.dev/docs/changelog/introduction",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The terms name Plastic Labs, Inc., 169 Madison Avenue, New York, with arbitration in New York. They carry no last-updated date.",
          "honcho.dev/.well-known/security.txt returns 404.",
          "The x402 storefront runs on the AgentCash platform at agentcash.honcho.dev, a subdomain of honcho.dev."
        ],
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/honcho.json",
      "live": {
        "slug": "honcho",
        "probe": {
          "target": "https://api.honcho.dev/v3",
          "method": "get",
          "lastAt": "2026-10-05T00:15:24.542990005Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 123,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 137,
          "p95ms24h": 408,
          "samples24h": 272,
          "samples30d": 903,
          "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": 3,
              "ok": 3
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.honcho.dev",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:07.625291507Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "plastic-labs/honcho",
            "version": "v3.2.2",
            "released": "2026-10-01",
            "seenAt": "2026-10-04T16:29:43.003735943Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.plastic-labs/honcho",
            "version": "3.0.0",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "@honcho-ai/sdk",
            "version": "2.5.1",
            "seenAt": "2026-10-04T16:29:42.159609996Z"
          },
          {
            "registry": "pypi",
            "name": "honcho-ai",
            "version": "2.5.1",
            "released": "2026-09-24",
            "seenAt": "2026-10-04T16:29:41.976308274Z"
          }
        ],
        "githubStars": 7458,
        "npmWeekly": 25534,
        "pypiWeekly": 131942,
        "securityTxt": {
          "url": "https://honcho.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.261197499Z"
        },
        "llmsTxt": {
          "url": "https://honcho.dev/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:52.175463718Z"
        },
        "domain": {
          "domain": "honcho.dev",
          "registered": "2022-01-26",
          "source": "https://pubapi.registry.google/rdap/domain/honcho.dev",
          "checkedAt": "2026-10-04T13:09:16.292768042Z"
        },
        "pages": [
          {
            "url": "https://honcho.dev/docs/changelog/introduction",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:02.026293636Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "602071e4bfee"
          },
          {
            "url": "https://app.honcho.dev/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:15.347297508Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9da63f6bcbbd"
          },
          {
            "url": "https://app.honcho.dev/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:17.505463097Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f178ff16d893"
          }
        ],
        "updatedAt": "2026-10-05T00:15:24.542990005Z"
      }
    },
    "b": {
      "slug": "supermemory",
      "name": "Supermemory API + MCP",
      "vendor": "Supermemory",
      "vendorUrl": "https://supermemory.ai",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Memory and context API that ingests text, URLs, PDFs, images and video, extracts memories into a graph per container tag (usually one per user) and returns them through search or a user profile endpoint.",
      "url": "https://www.anchorterminal.com/tools/supermemory",
      "markdownUrl": "https://www.anchorterminal.com/tools/supermemory.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/supermemory.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/supermemory.json",
      "repo": "https://github.com/supermemoryai/supermemory",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.supermemory.ai",
      "packages": [
        {
          "registry": "npm",
          "name": "supermemory"
        },
        {
          "registry": "pypi",
          "name": "supermemory"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key (`sm_...`) from console.supermemory.ai. Org keys have full access. Scoped keys are limited to one or more container tags, can't read billing, change settings or mint keys, can expire after 1 to 365 days and are revocable. The hosted MCP at mcp.supermemory.ai/mcp signs in with OAuth in a browser and needs no key.",
      "pricing": "freemium",
      "pricingNotes": "Each plan includes monthly usage credit. Free is $0 with $5 of credit, Pro $19 with $20, Max $100 with $130 (adds the Gmail connector), Scale $399 with $600 (adds PDF extraction, S3 and crawler connectors, SOC 2, a HIPAA BAA and a self-hosted option), and Enterprise is committed spend. Usage is $5 per million SM tokens for plain-text memory and $10 for rich content, $1 and $2 per million for SuperRAG text and rich media, $5 per million search queries and $100 per million operations (https://supermemory.ai/pricing). Paid plans can auto top up, and the top-up limits don't cap the invoice (https://supermemory.ai/docs/overview/billing.md).",
      "priceSummary": "$19 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 8,
      "popularity": {
        "githubStars": 31000,
        "npmWeekly": 121387,
        "pypiWeekly": 45053,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://supermemory.ai/docs",
      "llmsTxt": "https://supermemory.ai/docs/llms.txt",
      "openapi": "https://api.supermemory.ai/v4/openapi",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.user",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "mcp",
        "oauth",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.6,
        "grade": "B",
        "agentReady": false,
        "rank": 201,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 3,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 73,
          "maintenance": 85,
          "payments": 30,
          "reliability": 65,
          "schema": 85,
          "security": 54,
          "transparency": 49
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.",
        "strengths": [
          "8-tool hosted MCP with OAuth and per-space read or write permission",
          "Scoped keys limited to container tags, with expiry from 1 to 365 days",
          "Status page shows 100 per cent for the API and Console from July to October 2026",
          "Customer content never trains models on any plan, per the security page",
          "One endpoint ingests text, URLs, PDFs, images and video"
        ],
        "weaknesses": [
          "No legal entity named in the terms or privacy policy",
          "No published rate limits or 429 guidance",
          "Ingests web pages and PDFs with no prompt-injection guidance found",
          "v3 and v4 endpoints live side by side, so examples disagree",
          "No security.txt and no official MCP registry entry"
        ],
        "agentNotes": [
          "Use one stable `containerTag` per user and a `customId` per session",
          "Poll the document until `status` is `done` before searching for what you just added",
          "Treat a 402 on search or profile as out of credit, not as a bug",
          "Run the prompt-based mass forget with `dryRun` first",
          "Call who_am_i on the MCP to see which spaces you can write to before adding"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.6
          }
        ],
        "editorialScores": {
          "ergonomics": 73,
          "maintenance": 85,
          "payments": 30,
          "reliability": 65,
          "schema": 85,
          "security": 54,
          "transparency": 43
        },
        "provenanceScore": 55
      },
      "connect": {
        "install": "npm install supermemory   # or: pip install supermemory",
        "http": "curl -X POST \"https://api.supermemory.ai/v3/documents\" \\\n  -H \"Authorization: Bearer $SUPERMEMORY_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"content\":\"Sarah is being promoted to VP of Product.\",\"containerTag\":\"user_123\",\"customId\":\"chat_session_1\",\"metadata\":{\"type\":\"conversation\"},\"dreaming\":\"instant\"}'",
        "claudeCode": "claude mcp add --transport http supermemory https://mcp.supermemory.ai/mcp",
        "config": {
          "mcpServers": {
            "supermemory": {
              "type": "http",
              "url": "https://mcp.supermemory.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/supermemory"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 19,
          "note": "$20 of usage credit"
        },
        {
          "item": "Max plan",
          "unit": "month",
          "usd": 100,
          "note": "$130 of usage credit"
        },
        {
          "item": "Scale plan",
          "unit": "month",
          "usd": 399,
          "note": "$600 of usage credit, SOC 2, HIPAA BAA"
        },
        {
          "item": "Memory ingestion, plain text",
          "unit": "1m-tokens",
          "usd": 5,
          "note": "SM tokens"
        },
        {
          "item": "Memory ingestion, rich content",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "PDFs, media and extraction-heavy content"
        },
        {
          "item": "Search and profile queries",
          "unit": "1k-requests",
          "usd": 0.005,
          "note": "$5 per million queries"
        },
        {
          "item": "Operations",
          "unit": "1k-calls",
          "usd": 0.1,
          "note": "$100 per million, e.g. instant dreaming"
        }
      ],
      "provenance": {
        "legalEntity": "",
        "domain": "supermemory.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://supermemory.ai/terms",
        "privacy": "https://supermemory.ai/privacy",
        "statusPage": "https://status.supermemory.ai",
        "changelog": "https://supermemory.ai/changelog/api/",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The terms (updated 2 June 2025) and privacy policy (4 June 2025) refer only to \"supermemory\" in San Francisco and name no company. The terms are governed by Delaware law.",
          "supermemory.ai/.well-known/security.txt returns 404.",
          "The status page tracks the API and the console and showed no incidents from June to September 2026."
        ],
        "score": 55
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/supermemory.json",
      "live": {
        "slug": "supermemory",
        "probe": {
          "target": "https://api.supermemory.ai",
          "method": "get",
          "lastAt": "2026-10-05T00:15:30.927111786Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 218,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 221,
          "p95ms24h": 1227,
          "samples24h": 272,
          "samples30d": 903,
          "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": 3,
              "ok": 3
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.supermemory.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-05T00:11:35.178455656Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "supermemoryai/supermemory",
            "version": "server-v0.0.8",
            "released": "2026-08-17",
            "seenAt": "2026-10-04T16:41:06.655531873Z"
          },
          {
            "registry": "npm",
            "name": "supermemory",
            "version": "4.25.4",
            "seenAt": "2026-10-04T16:41:05.654638532Z"
          },
          {
            "registry": "pypi",
            "name": "supermemory",
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        "npmWeekly": 150676,
        "pypiWeekly": 46556,
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          "status": 200,
          "checkedAt": "2026-10-04T15:18:16.596856529Z"
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        "domain": {
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  "markdown": "Honcho has a score of 64.2 (B) against Supermemory API + MCP's 63.6 (B). Both do memory store. The largest gap is payments \u0026 pricing, 50 points. Honcho accepts x402. Supermemory API + MCP doesn't.\n\n- Honcho: grade B, 64.2/100, rank #188 of 452. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json\n- Supermemory API + MCP: grade B, 63.6/100, rank #201 of 452. Markdown https://www.anchorterminal.com/tools/supermemory.md · JSON https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Which one, for what\n\nPick Honcho for payments \u0026 pricing (+50), transparency \u0026 trust (+20).\n\nPick Supermemory API + MCP for reliability (+15), schema \u0026 documentation (+6), agent ergonomics (+8), security \u0026 auth (+6), maintenance \u0026 community (+12).\n\n## Score by category\n\n| Category | Weight | Honcho | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 65 | Supermemory API + MCP +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 85 | Supermemory API + MCP +6 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 73 | Supermemory API + MCP +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 54 | Supermemory API + MCP +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 80 | 30 | Honcho +50 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 85 | Supermemory API + MCP +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 69 | 49 | Honcho +20 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.2 · B** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Honcho | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Plastic Labs | Supermemory |\n| Hosted endpoint | `https://api.honcho.dev/v3` | `https://api.supermemory.ai` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | yes, from $0.001/call | no |\n| Licence | AGPL-3.0 | MIT |\n| Tools exposed | none | 8 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.plastic-labs/honcho` | not listed |\n| Last release | 2026-09-24 | 2026-09-21 |\n| Popularity | 7.4k stars, 18k npm/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 3/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Honcho.** Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.\n\n**Supermemory API + MCP.** 8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.\n\n## Before you call either\n\n### Honcho\n\n1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages\n2. Batch up to 100 messages per request, each under 25,000 characters\n3. Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal\n4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace\n5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor\n\n### Supermemory API + MCP\n\n1. Use one stable `containerTag` per user and a `customId` per session\n2. Poll the document until `status` is `done` before searching for what you just added\n3. Treat a 402 on search or profile as out of credit, not as a bug\n4. Run the prompt-based mass forget with `dryRun` first\n5. Call who_am_i on the MCP to see which spaces you can write to before adding\n\n## Other comparisons with Honcho or Supermemory API + MCP\n\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs LocalGhost](https://www.anchorterminal.com/compare/honcho-vs-localghost.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.md)\n- [LocalGhost vs Supermemory API + MCP](https://www.anchorterminal.com/compare/localghost-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Supermemory API + MCP vs Zep](https://www.anchorterminal.com/compare/supermemory-vs-zep.md)\n",
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    "description": "Honcho has a score of 64.2 (B) against Supermemory API + MCP's 63.6 (B). Both do memory store. The largest gap is payments \u0026 pricing, 50 points. Honcho accepts x402. Supermemory API + MCP doesn't. Category scores, facts, verdicts and agent notes side by side.",
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