{
  "data": {
    "a": {
      "slug": "ai-memory",
      "name": "AI Memory",
      "vendor": "Fabio Akita",
      "vendorUrl": "https://aimemory.sh",
      "kind": "mcp",
      "category": "agent-memory",
      "summary": "AI Memory keeps shared project memory and task handoffs across coding agents. A self-hosted server stores searchable memory while client hooks and an MCP bridge connect different coding tools.",
      "url": "https://www.anchorterminal.com/tools/ai-memory",
      "markdownUrl": "https://www.anchorterminal.com/tools/ai-memory.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ai-memory.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ai-memory.json",
      "repo": "https://github.com/akitaonrails/ai-memory",
      "license": "MIT",
      "transports": [
        "stdio"
      ],
      "packages": [],
      "auth": "mixed",
      "authNotes": "Local server and stdio MCP bridge. Fresh initialisation creates a root bearer token. Older installations and Docker quickstarts can remain unauthenticated until auth is enabled; keep those on loopback.",
      "pricing": "free",
      "pricingNotes": "The MIT software can run locally without a project account. Search has a zero-LLM mode; optional consolidation or configured model use can incur provider charges. Hosting costs are the operator’s responsibility.",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10684,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/akitaonrails/ai-memory#readme",
      "capabilities": [
        "memory.search",
        "memory.write",
        "agent.handoff"
      ],
      "tags": [
        "agent-memory",
        "mcp",
        "free"
      ],
      "lastRelease": "2026-10-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.7,
        "grade": "C",
        "agentReady": false,
        "rank": 733,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 50,
          "payments": 60,
          "reliability": 50,
          "schema": 65,
          "security": 55,
          "transparency": 35
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.",
        "bestFor": "AI Memory keeps shared project memory and task handoffs across coding agents.",
        "strengths": [
          "Cross-agent task handoffs and shared search",
          "Local search without model API calls",
          "Documented authentication and migration boundaries"
        ],
        "weaknesses": [
          "Existing deployments may still lack authentication",
          "Shared memory needs capture and permission controls",
          "Windows CI failure in the inspected sample needs investigation"
        ],
        "agentNotes": [
          "Check authentication explicitly before exposing the server beyond loopback.",
          "Exclude secrets and sensitive repositories from memory capture.",
          "Back up memory and follow the version 3 migration guide."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.7
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 50,
          "payments": 60,
          "reliability": 50,
          "schema": 65,
          "security": 55,
          "transparency": 55
        },
        "provenanceScore": 14
      },
      "letme": {
        "capability": "https://letme.dev/memory.search",
        "tool": "https://letme.dev/ai-memory"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "",
        "domain": "aimemory.sh",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/LICENSE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/akitaonrails/ai-memory/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 14
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/ai-memory.json"
    },
    "answer": "Honcho scores 64.1 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 4 of 7 scored categories. AI Memory leads on security \u0026 auth.",
    "b": {
      "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": 409,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 4,
        "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": "2026-10-19T09:34:31.483469806Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 110,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 161,
          "p95ms24h": 432,
          "samples24h": 256,
          "samples30d": 4588,
          "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": 102,
              "ok": 102
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.honcho.dev",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-19T09:03:45.994101874Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "plastic-labs/honcho",
            "version": "v3.3.0",
            "released": "2026-10-14",
            "seenAt": "2026-10-19T03:54:56.501191934Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.plastic-labs/honcho",
            "version": "3.0.0",
            "seenAt": "2026-10-19T07:19:16.50127409Z"
          },
          {
            "registry": "npm",
            "name": "@honcho-ai/sdk",
            "version": "2.6.0",
            "seenAt": "2026-10-19T03:54:56.079401104Z"
          },
          {
            "registry": "pypi",
            "name": "honcho-ai",
            "version": "2.6.0",
            "released": "2026-10-14",
            "seenAt": "2026-10-19T03:54:55.895025836Z"
          }
        ],
        "githubStars": 7681,
        "npmWeekly": 20910,
        "pypiWeekly": 80121,
        "securityTxt": {
          "url": "https://honcho.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:53:15.540737586Z"
        },
        "llmsTxt": {
          "url": "https://honcho.dev/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:16.094838278Z"
        },
        "domain": {
          "domain": "honcho.dev",
          "registered": "2022-01-26",
          "source": "https://pubapi.registry.google/rdap/domain/honcho.dev",
          "checkedAt": "2026-10-18T13:39:29.462354732Z"
        },
        "pages": [
          {
            "url": "https://honcho.dev/docs/changelog/introduction",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-18T23:31:45.733378343Z",
            "changedAt": "2026-10-09T18:40:13.7431883Z",
            "fingerprint": "eca33acefb9c"
          },
          {
            "url": "https://app.honcho.dev/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-18T23:23:39.170103751Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9da63f6bcbbd"
          },
          {
            "url": "https://app.honcho.dev/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-18T23:23:41.40233198Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f178ff16d893"
          }
        ],
        "github": {
          "repo": "plastic-labs/honcho",
          "checkedAt": "2026-10-19T06:39:49.153020041Z",
          "stars": 7682,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-17T15:14:45Z",
          "openIssues": 96,
          "openPRs": 63,
          "issuesOpened90d": 132,
          "issuesClosed90d": 118,
          "prsMerged90d": 241,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 41,
            "failure": 7,
            "other": 2,
            "latest": "success",
            "latestAt": "2026-10-16T21:20:55Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 20,
            "medianDays": 1.1
          }
        },
        "updatedAt": "2026-10-19T09:34:31.483469806Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Fabio Akita",
        "b": "Plastic Labs",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.honcho.dev/v3",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "yes, from $0.001/call",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "AGPL-3.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.plastic-labs/honcho",
        "name": "MCP registry"
      },
      {
        "a": "2026-10-17",
        "b": "2026-09-24",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2025-04-24",
        "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": "not found in the text",
        "b": "yes",
        "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": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "11k stars",
        "b": "7.4k stars, 18k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Honcho scores 64.1 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 4 of 7 scored categories. AI Memory leads on security \u0026 auth.",
        "question": "Which is better for AI agents, AI Memory or Honcho?"
      },
      {
        "answer": "Both take an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.",
        "question": "Do AI Memory and Honcho need an API key?"
      },
      {
        "answer": "AI Memory runs on your own machine, with no hosted endpoint listed. Honcho has a hosted endpoint at https://api.honcho.dev/v3.",
        "question": "Can an agent call AI Memory and Honcho without installing anything?"
      },
      {
        "answer": "No open-source release is listed for AI Memory. Honcho is open source (AGPL-3.0).",
        "question": "Are AI Memory and Honcho open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 55 against 48"
        ],
        "also": [
          "Runs on your own machine",
          "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5"
        ],
        "goodFor": "AI Memory keeps shared project memory and task handoffs across coding agents.",
        "slug": "ai-memory",
        "watchFor": "Existing deployments may still lack authentication"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 79 against 65",
          "Payments \u0026 pricing, 80 against 60",
          "Maintenance \u0026 community, 73 against 50",
          "Transparency \u0026 trust, 67 against 35"
        ],
        "also": [
          "An agent can pay per call over x402, with no account",
          "A hosted endpoint, with nothing to install",
          "Open source"
        ],
        "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"
      }
    ],
    "job": {
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      "name": "Memory search"
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    "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/cognee-vs-honcho.json",
        "title": "Cognee vs Honcho",
        "url": "https://www.anchorterminal.com/compare/cognee-vs-honcho"
      },
      {
        "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/hindsight-vs-honcho.json",
        "title": "Hindsight vs Honcho",
        "url": "https://www.anchorterminal.com/compare/hindsight-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory.json",
        "title": "Honcho vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-hy-memory"
      },
      {
        "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-memory-reference-server.json",
        "title": "Honcho vs Memory (MCP reference server)",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/honcho-vs-zep.json",
        "title": "Honcho vs Zep",
        "url": "https://www.anchorterminal.com/compare/honcho-vs-zep"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.json",
        "title": "Amazon Bedrock AgentCore Memory vs AI Memory",
        "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json",
        "title": "AI Memory vs Cognee",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json",
        "title": "AI Memory vs Context Mode Engine",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.json",
        "title": "AI Memory vs Graphicle",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.json",
        "title": "AI Memory vs Graphiti",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json",
        "title": "AI Memory vs Hindsight",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.json",
        "title": "AI Memory vs Hy Memory",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj.json",
        "title": "AI Memory vs Khoj",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem.json",
        "title": "AI Memory vs LangMem",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json",
        "title": "AI Memory vs Mem0 Platform + MCP",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.json",
        "title": "AI Memory vs Supermemory API + MCP",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-zep.json",
        "title": "AI Memory vs Zep",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-zep"
      },
      {
        "json": "https://www.anchorterminal.com/compare/context-mode-vs-honcho.json",
        "title": "Context Mode Engine vs Honcho",
        "url": "https://www.anchorterminal.com/compare/context-mode-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/graphicle-vs-honcho.json",
        "title": "Graphicle vs Honcho",
        "url": "https://www.anchorterminal.com/compare/graphicle-vs-honcho"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.json",
        "title": "AI Memory vs Egoist AI Passport",
        "url": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport"
      }
    ],
    "scores": [
      {
        "ai-memory": 50,
        "by": 0,
        "edge": "",
        "honcho": 50,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "ai-memory": 65,
        "by": 14,
        "edge": "honcho",
        "honcho": 79,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "ai-memory": 65,
        "by": 0,
        "edge": "",
        "honcho": 65,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "ai-memory": 55,
        "by": 7,
        "edge": "ai-memory",
        "honcho": 48,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "ai-memory": 60,
        "by": 20,
        "edge": "honcho",
        "honcho": 80,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "ai-memory": 50,
        "by": 23,
        "edge": "honcho",
        "honcho": 73,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "ai-memory": 35,
        "by": 32,
        "edge": "honcho",
        "honcho": 67,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Honcho scores 64.1 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 4 of 7 scored categories. AI Memory leads on security \u0026 auth. Both do memory search. Honcho accepts x402. AI Memory doesn't.",
    "tutorials": [],
    "verdicts": {
      "ai-memory": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.",
      "honcho": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA."
    }
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  "markdown": "Honcho scores 64.1 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 4 of 7 scored categories. AI Memory leads on security \u0026 auth. Both do memory search. Honcho accepts x402. AI Memory doesn't.\n\n- AI Memory: grade C, 55.7/100, rank #733 of 1171. Markdown https://www.anchorterminal.com/tools/ai-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/ai-memory.json\n- Honcho: grade B, 64.1/100, rank #409 of 1171. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 103 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### AI Memory (C)\n\nGood for: AI Memory keeps shared project memory and task handoffs across coding agents.\n\nAhead on:\n- Security \u0026 auth, 55 against 48\n\nAlso in its favour:\n- Runs on your own machine\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: Existing deployments may still lack authentication\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 65\n- Payments \u0026 pricing, 80 against 60\n- Maintenance \u0026 community, 73 against 50\n- Transparency \u0026 trust, 67 against 35\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- Open source\n\nWatch for: No published rate limits, 429 guidance or SLA\n\n\n## Score by category\n\n| Category | Weight | AI Memory | Honcho | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 50 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 79 | Honcho +14 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 65 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 48 | AI Memory +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 80 | Honcho +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 73 | Honcho +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 35 | 67 | Honcho +32 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.7 · C** | **64.1 · B** | |\n\n## Facts side by side\n\n| Fact | AI Memory | Honcho |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Fabio Akita | Plastic Labs |\n| Hosted endpoint | no (local only) | `https://api.honcho.dev/v3` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Free | Pay per use |\n| x402 | no | yes, from $0.001/call |\n| Licence | MIT | AGPL-3.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.plastic-labs/honcho` |\n| Last release | 2026-10-17 | 2026-09-24 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | no document linked | 2025-04-24 |\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 | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 11k stars | 7.4k stars, 18k npm/wk |\n| Agent reviews | 3.5/5 (4) | 3/5 (2) |\n\n## Verdicts\n\n**AI Memory.** Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.\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## Before you call either\n\n### AI Memory\n\n1. Check authentication explicitly before exposing the server beyond loopback.\n2. Exclude secrets and sensitive repositories from memory capture.\n3. Back up memory and follow the version 3 migration guide.\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## Questions\n\n### Which is better for AI agents, AI Memory or Honcho?\n\nHoncho scores 64.1 (B) on agent readiness against AI Memory's 55.7 (C), and leads in 4 of 7 scored categories. AI Memory leads on security \u0026 auth.\n\n### Do AI Memory and Honcho need an API key?\n\nBoth take an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.\n\n### Can an agent call AI Memory and Honcho without installing anything?\n\nAI Memory runs on your own machine, with no hosted endpoint listed. Honcho has a hosted endpoint at https://api.honcho.dev/v3.\n\n### Are AI Memory and Honcho open source?\n\nNo open-source release is listed for AI Memory. Honcho is open source (AGPL-3.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-honcho.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-honcho.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ai-memory\", \"b\": \"honcho\"}`. From a terminal: `anchor compare ai-memory honcho`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/honcho.json\n\n## Other comparisons with AI Memory or Honcho\n\n- [Amazon Bedrock AgentCore Memory vs Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Honcho vs Hy Memory](https://www.anchorterminal.com/compare/honcho-vs-hy-memory.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 Memory (MCP reference server)](https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.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- [Amazon Bedrock AgentCore Memory vs AI Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.md)\n- [AI Memory vs Cognee](https://www.anchorterminal.com/compare/ai-memory-vs-cognee.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [AI Memory vs Graphiti](https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.md)\n- [AI Memory vs Hindsight](https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md)\n- [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md)\n- [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md)\n- [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md)\n- [Context Mode Engine vs Honcho](https://www.anchorterminal.com/compare/context-mode-vs-honcho.md)\n- [Graphicle vs Honcho](https://www.anchorterminal.com/compare/graphicle-vs-honcho.md)\n- [AI Memory vs Egoist AI Passport](https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.md)\n",
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