{
  "data": {
    "a": {
      "slug": "hindsight",
      "name": "Hindsight",
      "vendor": "Vectorize",
      "vendorUrl": "https://hindsight.vectorize.io",
      "kind": "http-api",
      "category": "agent-memory",
      "summary": "Memory engine for storing and retrieving information used by agents.",
      "url": "https://www.anchorterminal.com/tools/hindsight",
      "markdownUrl": "https://www.anchorterminal.com/tools/hindsight.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hindsight.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hindsight.json",
      "repo": "https://github.com/vectorize-io/hindsight",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.hindsight.vectorize.io",
      "packages": [
        {
          "registry": "pypi",
          "name": "hindsight-client"
        },
        {
          "registry": "npm",
          "name": "@vectorize-io/hindsight-client"
        },
        {
          "registry": "pypi",
          "name": "hindsight-api"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer API key on api.hindsight.vectorize.io. Keys can be restricted to named banks and set to expire after an hour to a year, and revoking a parent key revokes its child keys. The hosted MCP uses OAuth with PKCE (RFC 9728), or the same key as a Bearer header. A self-hosted server exposes MCP at /mcp/{bank_id}/ on port 8888.",
      "pricing": "usage",
      "pricingNotes": "Hindsight Cloud is pay as you go, with no monthly fee or seat price. Retain $10.00 per million tokens, recall $0.75 per million, reflect $0.05 a call, Iris Extract $7.50 per million, mental model retrieval $0.25 per million, mental model refresh $0.05 a call, storage $0.25 per million tokens a month. New accounts get free credits, amount not stated. Enterprise adds dedicated infrastructure and up to a 99.95 per cent uptime SLA (https://vectorize.io/pricing). Credit is bought in amounts from $5 to $1,000, and calls return 402 once the balance is empty (https://docs.hindsight.vectorize.io/billing/). Self-hosting is free under MIT.",
      "priceSummary": "$0.05 / call",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 27,
      "popularity": {
        "githubStars": 43400,
        "npmWeekly": 44381,
        "pypiWeekly": 227251,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.hindsight.vectorize.io",
      "openapi": "https://hindsight.vectorize.io/openapi.json",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.delete"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "mcp",
        "oauth",
        "openapi",
        "python",
        "typescript",
        "open-source",
        "self-hosted",
        "enterprise"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50.4,
        "grade": "D",
        "agentReady": false,
        "rank": 359,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 7,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 57,
          "maintenance": 80,
          "payments": 30,
          "reliability": 25,
          "schema": 68,
          "security": 58,
          "transparency": 48
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.",
        "strengths": [
          "Keys restricted to named banks, with expiry from an hour to a year and child-key revocation",
          "`Memory Defense` screens every retain, with regex redaction even in the open-source server",
          "Published per-token and per-call Cloud prices, with no monthly fee, and a published 99.9 per cent SLA",
          "MIT server in one Docker image with an MCP endpoint per bank",
          "Eight PyPI releases between 22 July and 29 September 2026"
        ],
        "weaknesses": [
          "Retain at $10 per million tokens is the priciest ingestion in this category",
          "27 MCP tools per bank, with no subset or read-only option",
          "No status page, no published rate limits and no llms.txt",
          "Prompt-injection blocking and audit trails are Enterprise only",
          "Free credit amount not published"
        ],
        "agentNotes": [
          "Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out",
          "Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning",
          "Pass `async: true` on large retains so the call returns before extraction finishes",
          "Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50.4
          }
        ],
        "editorialScores": {
          "ergonomics": 57,
          "maintenance": 80,
          "payments": 30,
          "reliability": 25,
          "schema": 68,
          "security": 58,
          "transparency": 30
        },
        "provenanceScore": 65
      },
      "connect": {
        "install": "pip install hindsight-client   # or: npm install @vectorize-io/hindsight-client",
        "http": "curl -s \"https://api.hindsight.vectorize.io/v1/default/banks/my-bank/memories/list\" -H \"Authorization: Bearer $HINDSIGHT_API_KEY\"",
        "claudeCode": "claude mcp add --transport http hindsight https://api.hindsight.vectorize.io/mcp/my-bank/",
        "config": {
          "mcpServers": {
            "hindsight": {
              "headers": {
                "Authorization": "Bearer ${HINDSIGHT_API_KEY}"
              },
              "type": "http",
              "url": "https://api.hindsight.vectorize.io/mcp/my-bank/"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/hindsight"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Retain",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "input tokens"
        },
        {
          "item": "Recall",
          "unit": "1m-tokens",
          "usd": 0.75,
          "note": "output tokens"
        },
        {
          "item": "Reflect",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "Iris Extract",
          "unit": "1m-tokens",
          "usd": 7.5
        },
        {
          "item": "Mental model refresh",
          "unit": "call",
          "usd": 0.05
        },
        {
          "item": "Storage",
          "unit": "1m-tokens",
          "usd": 0.25,
          "note": "per million tokens stored, per month"
        }
      ],
      "provenance": {
        "legalEntity": "Vectorize, Inc.",
        "domain": "vectorize.io",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://vectorize.io/terms",
        "privacy": "https://vectorize.io/privacy",
        "statusPage": "",
        "changelog": "https://docs.hindsight.vectorize.io/whats-new",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The entity name comes from the copyright line on vectorize.io. The privacy policy is embedded from Termly and gives no address.",
          "vectorize.io/.well-known/security.txt returns 404, and we found no status page."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hindsight.json",
      "live": {
        "slug": "hindsight",
        "probe": {
          "target": "https://api.hindsight.vectorize.io",
          "method": "get",
          "lastAt": "2026-10-05T00:57:21.325658857Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 126,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 131,
          "p95ms24h": 388,
          "samples24h": 272,
          "samples30d": 911,
          "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": 11,
              "ok": 11
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "vectorize-io/hindsight",
            "version": "v0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:39.70608693Z"
          },
          {
            "registry": "npm",
            "name": "@vectorize-io/hindsight-client",
            "version": "0.10.2",
            "seenAt": "2026-10-04T16:29:37.810729722Z"
          },
          {
            "registry": "pypi",
            "name": "hindsight-api",
            "version": "0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:38.662862892Z"
          },
          {
            "registry": "pypi",
            "name": "hindsight-client",
            "version": "0.10.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:29:37.622434193Z"
          }
        ],
        "githubStars": 45387,
        "npmWeekly": 65833,
        "pypiWeekly": 225330,
        "securityTxt": {
          "url": "https://vectorize.io/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:46.852372513Z"
        },
        "domain": {
          "domain": "vectorize.io",
          "checkedAt": "2026-10-04T13:05:24.522601574Z"
        },
        "pages": [
          {
            "url": "https://docs.hindsight.vectorize.io/whats-new",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-04T15:43:40.455785234Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "4b4e1a42fe21"
          },
          {
            "url": "https://vectorize.io/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:41.9940699Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8914c2c291ed"
          },
          {
            "url": "https://vectorize.io/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:44.199762911Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0b650c200752"
          },
          {
            "url": "https://vectorize.io/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:48:46.160685664Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e508ab007e9c"
          }
        ],
        "updatedAt": "2026-10-05T00:57:21.325658857Z"
      }
    },
    "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": 64.2,
        "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": "2026-10-05T00:57:21.355594536Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 109,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 135,
          "p95ms24h": 408,
          "samples24h": 272,
          "samples30d": 911,
          "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": 11,
              "ok": 11
            }
          ]
        },
        "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": {
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  "markdown": "Honcho has a score of 64.2 (B) against Hindsight's 50.4 (D). Both do memory store. The largest gap is payments \u0026 pricing, 50 points. Honcho accepts x402. Hindsight doesn't.\n\n- Hindsight: grade D, 50.4/100, rank #359 of 452. Markdown https://www.anchorterminal.com/tools/hindsight.md · JSON https://www.anchorterminal.com/api/v1/tools/hindsight.json\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\n## Which one, for what\n\nPick Hindsight for security \u0026 auth (+10), maintenance \u0026 community (+7).\n\nPick Honcho for reliability (+25), schema \u0026 documentation (+11), agent ergonomics (+8), payments \u0026 pricing (+50), transparency \u0026 trust (+21).\n\n## Score by category\n\n| Category | Weight | Hindsight | Honcho | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 50 | Honcho +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 79 | Honcho +11 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 65 | Honcho +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 48 | Hindsight +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 80 | Honcho +50 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 73 | Hindsight +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 48 | 69 | Honcho +21 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50.4 · D** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Hindsight | Honcho |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Vectorize | Plastic Labs |\n| Hosted endpoint | `https://api.hindsight.vectorize.io` | `https://api.honcho.dev/v3` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | yes, from $0.001/call |\n| Licence | MIT | AGPL-3.0 |\n| Tools exposed | 27 | none |\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 | no | yes |\n| MCP registry | not listed | `io.github.plastic-labs/honcho` |\n| Last release | 2026-09-29 | 2026-09-24 |\n| Popularity | 43k stars, 44k npm/wk, 227k PyPI/wk | 7.4k stars, 18k npm/wk |\n| Agent reviews | 3/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Hindsight.** API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.\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### Hindsight\n\n1. Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out\n2. Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning\n3. Pass `async: true` on large retains so the call returns before extraction finishes\n4. Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank\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## Other comparisons with Hindsight or Honcho\n\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Hindsight vs LocalGhost](https://www.anchorterminal.com/compare/hindsight-vs-localghost.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Hindsight vs Zep](https://www.anchorterminal.com/compare/hindsight-vs-zep.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",
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    "description": "Honcho has a score of 64.2 (B) against Hindsight's 50.4 (D). Both do memory store. The largest gap is payments \u0026 pricing, 50 points. Honcho accepts x402. Hindsight doesn't. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Hindsight vs Honcho for AI agents, D 50.4 vs B 64.2 | Anchor Terminal",
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