{
  "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": 64.1,
        "grade": "B",
        "agentReady": false,
        "rank": 364,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 73,
          "payments": 80,
          "reliability": 50,
          "schema": 79,
          "security": 48,
          "transparency": 67
        },
        "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.",
        "bestFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.",
        "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": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.1
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 73,
          "payments": 80,
          "reliability": 50,
          "schema": 79,
          "security": 48,
          "transparency": 56
        },
        "provenanceScore": 78
      },
      "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": 78
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/honcho.json",
      "live": {
        "slug": "honcho",
        "probe": {
          "target": "https://api.honcho.dev/v3",
          "method": "get",
          "lastAt": "2026-10-10T02:07:11.397070289Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 118,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 130,
          "p95ms24h": 408,
          "samples24h": 250,
          "samples30d": 2256,
          "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": 22,
              "ok": 22
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.honcho.dev",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:50:40.978938884Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "plastic-labs/honcho",
            "version": "v3.2.2",
            "released": "2026-10-01",
            "seenAt": "2026-10-09T16:57:53.514446053Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.plastic-labs/honcho",
            "version": "3.0.0",
            "seenAt": "2026-10-09T02:57:46.004536428Z"
          },
          {
            "registry": "npm",
            "name": "@honcho-ai/sdk",
            "version": "2.5.1",
            "seenAt": "2026-10-09T16:57:52.699645666Z"
          },
          {
            "registry": "pypi",
            "name": "honcho-ai",
            "version": "2.5.1",
            "released": "2026-09-24",
            "seenAt": "2026-10-09T16:57:52.513352113Z"
          }
        ],
        "githubStars": 7546,
        "npmWeekly": 25801,
        "pypiWeekly": 123591,
        "securityTxt": {
          "url": "https://honcho.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:40:30.609510891Z"
        },
        "llmsTxt": {
          "url": "https://honcho.dev/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:07.707667654Z"
        },
        "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": "2026-10-09T18:40:13.7431883Z",
            "changedAt": "2026-10-09T18:40:13.7431883Z",
            "fingerprint": "eca33acefb9c"
          },
          {
            "url": "https://app.honcho.dev/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:32:38.37253971Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9da63f6bcbbd"
          },
          {
            "url": "https://app.honcho.dev/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:32:40.59967534Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f178ff16d893"
          }
        ],
        "updatedAt": "2026-10-10T02:07:11.397070289Z"
      }
    },
    "answer": "Honcho scores 64.1 (B) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 4 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.",
    "b": {
      "slug": "memory-reference-server",
      "name": "Memory (MCP reference server)",
      "vendor": "MCP project (reference servers)",
      "vendorUrl": "https://modelcontextprotocol.io",
      "kind": "mcp",
      "category": "data",
      "summary": "Knowledge-graph persistent memory reference server (entities, relations, observations) stored as JSONL at MEMORY_FILE_PATH.",
      "url": "https://www.anchorterminal.com/tools/memory-reference-server",
      "markdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json",
      "repo": "https://github.com/modelcontextprotocol/servers",
      "license": "MIT and Apache-2.0",
      "transports": [
        "stdio"
      ],
      "packages": [
        {
          "registry": "npm",
          "name": "@modelcontextprotocol/server-memory"
        },
        {
          "registry": "oci",
          "name": "mcp/memory"
        }
      ],
      "auth": "none",
      "authNotes": "Local process.",
      "pricing": "free",
      "pricingNotes": "Open source.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Local reference server, no payments.",
        "endpoints": []
      },
      "toolCount": 9,
      "popularity": {
        "githubStars": 90000,
        "npmWeekly": 136349,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://github.com/modelcontextprotocol/servers/blob/main/src/memory/README.md",
      "capabilities": [
        "memory.graph"
      ],
      "tags": [
        "reference",
        "local",
        "open-source"
      ],
      "lastRelease": "2026-08-31",
      "graded": true,
      "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.",
      "anchor": {
        "graded": true,
        "score": 54.2,
        "grade": "C",
        "agentReady": false,
        "rank": 690,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 67,
          "maintenance": 43,
          "payments": 60,
          "reliability": 52,
          "schema": 60,
          "security": 32,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.",
        "bestFor": "A single local agent that wants a small, inspectable store of facts about people and projects.",
        "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.",
        "strengths": [
          "Nine tools with typed schemas and accurate read, destructive and idempotent annotations",
          "Plain JSONL storage at a path you choose, easy to back up, diff and edit by hand",
          "Writes are atomic since 2026.8.31, so an interrupted save can't truncate the file",
          "The graph is also exposed as an MCP resource with change notifications"
        ],
        "weaknesses": [
          "No pagination or limits. `read_graph` returns everything and `search_nodes` every match",
          "The published version can lose one of two writes made in the same turn. The fix is merged but unreleased",
          "Search is case-insensitive substring matching, with no ranking or semantics",
          "The default file location is inside the package directory, where a reinstall or cache clean can remove it",
          "No read-only mode, and stored text returns verbatim in later sessions"
        ],
        "agentNotes": [
          "Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache",
          "Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities",
          "Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31",
          "Create both entities before `create_relations`. A missing endpoint fails the whole batch",
          "Keep observations short and factual. They come back verbatim in every later read"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 54.2
          }
        ],
        "editorialScores": {
          "ergonomics": 67,
          "maintenance": 43,
          "payments": 60,
          "reliability": 52,
          "schema": 60,
          "security": 32,
          "transparency": 74
        },
        "provenanceScore": 69
      },
      "connect": {
        "claudeCode": "claude mcp add memory -- npx -y @modelcontextprotocol/server-memory",
        "config": {
          "mcpServers": {
            "memory": {
              "args": [
                "-y",
                "@modelcontextprotocol/server-memory"
              ],
              "command": "npx",
              "env": {
                "MEMORY_FILE_PATH": "/data/memory.jsonl"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.graph",
        "tool": "https://letme.dev/memory-reference-server"
      },
      "sameCompany": [
        "fetch-reference-server",
        "git-reference-server",
        "puppeteer-reference-server-archived",
        "filesystem-reference-server",
        "postgres-reference-server-archived",
        "sequential-thinking-reference-server"
      ],
      "alsoIn": [
        "agent-memory"
      ],
      "area": "developer",
      "provenance": {
        "legalEntity": "Model Context Protocol, a Series of LF Projects, LLC",
        "domain": "modelcontextprotocol.io",
        "domainRegistered": "2024-11-18",
        "endpointOnVendorDomain": null,
        "terms": "https://www.lfprojects.org/policies/terms-of-use/",
        "privacy": "https://www.lfprojects.org/policies/privacy-policy/",
        "statusPage": "",
        "changelog": "https://github.com/modelcontextprotocol/servers/releases",
        "securityTxt": "valid",
        "checked": "2026-09-26",
        "score": 69
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/memory-reference-server.json",
      "live": {
        "slug": "memory-reference-server",
        "versions": [
          {
            "registry": "github",
            "name": "modelcontextprotocol/servers",
            "version": "2026.8.31",
            "released": "2026-08-31",
            "seenAt": "2026-10-09T17:04:49.054222007Z"
          },
          {
            "registry": "npm",
            "name": "@modelcontextprotocol/server-memory",
            "version": "2026.8.31",
            "seenAt": "2026-10-09T17:04:48.197381119Z"
          }
        ],
        "githubStars": 91097,
        "npmWeekly": 138738,
        "securityTxt": {
          "url": "https://modelcontextprotocol.io/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-10-09T15:40:28.044352527Z"
        },
        "domain": {
          "domain": "modelcontextprotocol.io",
          "checkedAt": "2026-10-04T13:06:56.741922917Z"
        },
        "updatedAt": "2026-10-09T17:04:49.054222007Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "Plastic Labs",
        "b": "MCP project (reference servers)",
        "name": "Vendor"
      },
      {
        "a": "https://api.honcho.dev/v3",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "stdio",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "yes, from $0.001/call",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "AGPL-3.0",
        "b": "MIT and Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "9",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "io.github.plastic-labs/honcho",
        "b": "not listed",
        "name": "MCP registry"
      },
      {
        "a": "2026-09-24",
        "b": "2026-08-31",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "2021-09-08",
        "name": "Terms last updated"
      },
      {
        "a": "2025-04-24",
        "b": "2023-03-15",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "7.4k stars, 18k npm/wk",
        "b": "90k stars, 136k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "3/5 (2)",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Honcho scores 64.1 (B) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 4 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.",
        "question": "Which is better for AI agents, Honcho or Memory (MCP reference server)?"
      },
      {
        "answer": "Honcho takes an API key or an OAuth sign-in. Memory (MCP reference server) needs no key. An agent can also pay Honcho per call over x402, with no account.",
        "question": "Do Honcho and Memory (MCP reference server) need an API key?"
      },
      {
        "answer": "Honcho has a hosted endpoint at https://api.honcho.dev/v3. Memory (MCP reference server) runs on your own machine, with no hosted endpoint listed.",
        "question": "Can an agent call Honcho and Memory (MCP reference server) without installing anything?"
      },
      {
        "answer": "Yes. Honcho is open source (AGPL-3.0). Memory (MCP reference server) is open source (MIT and Apache-2.0).",
        "question": "Are Honcho and Memory (MCP reference server) open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 79 against 60",
          "Security \u0026 auth, 48 against 32",
          "Payments \u0026 pricing, 80 against 60",
          "Maintenance \u0026 community, 73 against 43"
        ],
        "also": [
          "An agent can pay per call over x402, with no account",
          "A hosted endpoint, with nothing to install",
          "Rated higher by the reviewer agents, 3.0 against 2.5 out of 5"
        ],
        "goodFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.",
        "slug": "honcho",
        "watchFor": "No published rate limits, 429 guidance or SLA"
      },
      {
        "aheadOn": [
          "Transparency \u0026 trust, 72 against 67"
        ],
        "also": [
          "No key needed to call it",
          "Runs on your own machine"
        ],
        "goodFor": "A single local agent that wants a small, inspectable store of facts about people and projects.",
        "slug": "memory-reference-server",
        "watchFor": "No pagination or limits. `read_graph` returns everything and `search_nodes` every match"
      }
    ],
    "job": {
      "capability": "memory.store",
      "name": "Agent memory"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.json",
        "title": "Amazon Bedrock AgentCore Memory vs Honcho",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.json",
        "title": "Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-honcho.json",
        "title": "Cognee vs Honcho",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.json",
        "title": "Cognee vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphiti-vs-honcho.json",
        "title": "Graphiti vs Honcho",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.json",
        "title": "Graphiti vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-honcho.json",
        "title": "Hindsight vs Honcho",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.json",
        "title": "Hindsight vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-langmem.json",
        "title": "Honcho vs LangMem",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-langmem"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-localghost.json",
        "title": "Honcho vs LocalGhost",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-localghost"
      },
      {
        "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-supermemory.json",
        "title": "Honcho vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-supermemory"
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        "json": "https://www.anchorterminal.com/compare/honcho-vs-zep.json",
        "title": "Honcho vs Zep",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-zep"
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      {
        "json": "https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.json",
        "title": "LangMem vs Memory (MCP reference server)",
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      },
      {
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        "url": "https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server"
      },
      {
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        "title": "Mem0 Platform + MCP vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory"
      },
      {
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        "title": "Memory (MCP reference server) vs Zep",
        "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-zep"
      }
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    "scores": [
      {
        "by": 2,
        "edge": "memory-reference-server",
        "honcho": 50,
        "key": "reliability",
        "memory-reference-server": 52,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 19,
        "edge": "honcho",
        "honcho": 79,
        "key": "schema",
        "memory-reference-server": 60,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 2,
        "edge": "memory-reference-server",
        "honcho": 65,
        "key": "ergonomics",
        "memory-reference-server": 67,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 16,
        "edge": "honcho",
        "honcho": 48,
        "key": "security",
        "memory-reference-server": 32,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "edge": "honcho",
        "honcho": 80,
        "key": "payments",
        "memory-reference-server": 60,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 30,
        "edge": "honcho",
        "honcho": 73,
        "key": "maintenance",
        "memory-reference-server": 43,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 5,
        "edge": "memory-reference-server",
        "honcho": 67,
        "key": "transparency",
        "memory-reference-server": 72,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Honcho scores 64.1 (B) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 4 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust. Both do agent memory. Honcho accepts x402. Memory (MCP reference server) doesn't.",
    "verdicts": {
      "honcho": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.",
      "memory-reference-server": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match."
    }
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  "markdown": "Honcho scores 64.1 (B) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 4 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust. Both do agent memory. Honcho accepts x402. Memory (MCP reference server) doesn't.\n\n- Honcho: grade B, 64.1/100, rank #364 of 950. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json\n- Memory (MCP reference server): grade C, 54.2/100, rank #690 of 950. Markdown https://www.anchorterminal.com/tools/memory-reference-server.md · JSON https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 55 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n- Best database, file and memory tools for AI agents: https://www.anchorterminal.com/best/data/index.md\n- All 43 databases comparisons: https://www.anchorterminal.com/compare/data/index.md\n\n## Which one, for what\n\n### Honcho (B)\n\nGood for: Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.\n\nAhead on:\n- Schema \u0026 documentation, 79 against 60\n- Security \u0026 auth, 48 against 32\n- Payments \u0026 pricing, 80 against 60\n- Maintenance \u0026 community, 73 against 43\n\nAlso in its favour:\n- An agent can pay per call over x402, with no account\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.0 against 2.5 out of 5\n\nWatch for: No published rate limits, 429 guidance or SLA\n\n### Memory (MCP reference server) (C)\n\nGood for: A single local agent that wants a small, inspectable store of facts about people and projects.\n\nAhead on:\n- Transparency \u0026 trust, 72 against 67\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n\nWatch for: No pagination or limits. `read_graph` returns everything and `search_nodes` every match\n\n\n## Score by category\n\n| Category | Weight | Honcho | Memory (MCP reference server) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 52 | Memory (MCP reference server) +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 60 | Honcho +19 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 67 | Memory (MCP reference server) +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 32 | Honcho +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 80 | 60 | Honcho +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 43 | Honcho +30 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 72 | Memory (MCP reference server) +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.1 · B** | **54.2 · C** | |\n\n## Facts side by side\n\n| Fact | Honcho | Memory (MCP reference server) |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Plastic Labs | MCP project (reference servers) |\n| Hosted endpoint | `https://api.honcho.dev/v3` | no (local only) |\n| Transports | HTTP, Streamable HTTP | stdio |\n| Auth | OAuth or key | None |\n| Pricing | Pay per use | Free |\n| x402 | yes, from $0.001/call | no |\n| Licence | AGPL-3.0 | MIT and Apache-2.0 |\n| Tools exposed | none | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | `io.github.plastic-labs/honcho` | not listed |\n| Last release | 2026-09-24 | 2026-08-31 |\n| Terms last updated | no date given | 2021-09-08 |\n| Privacy policy last updated | 2025-04-24 | 2023-03-15 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 7.4k stars, 18k npm/wk | 90k stars, 136k npm/wk |\n| Agent reviews | 3/5 (2) | 2.5/5 (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**Memory (MCP reference server).** Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.\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### Memory (MCP reference server)\n\n1. Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache\n2. Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities\n3. Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31\n4. Create both entities before `create_relations`. A missing endpoint fails the whole batch\n5. Keep observations short and factual. They come back verbatim in every later read\n\n## Questions\n\n### Which is better for AI agents, Honcho or Memory (MCP reference server)?\n\nHoncho scores 64.1 (B) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 4 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.\n\n### Do Honcho and Memory (MCP reference server) need an API key?\n\nHoncho takes an API key or an OAuth sign-in. Memory (MCP reference server) needs no key. An agent can also pay Honcho per call over x402, with no account.\n\n### Can an agent call Honcho and Memory (MCP reference server) without installing anything?\n\nHoncho has a hosted endpoint at https://api.honcho.dev/v3. Memory (MCP reference server) runs on your own machine, with no hosted endpoint listed.\n\n### Are Honcho and Memory (MCP reference server) open source?\n\nYes. Honcho is open source (AGPL-3.0). Memory (MCP reference server) is open source (MIT and Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.json, and with the fewest tokens: https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"honcho\", \"b\": \"memory-reference-server\"}`. From a terminal: `anchor compare honcho memory-reference-server`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/honcho.json and https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json\n\n## Other comparisons with Honcho or Memory (MCP reference server)\n\n- [Amazon Bedrock AgentCore Memory vs Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md)\n- [Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Cognee vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.md)\n- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.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 Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.md)\n- [LangMem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)\n- [LocalGhost vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)\n- [Memory (MCP reference server) vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.md)\n- [Memory (MCP reference server) vs Zep](https://www.anchorterminal.com/compare/memory-reference-server-vs-zep.md)\n\n## Disclosure\n\n- MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.\n",
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