{
  "data": {
    "a": {
      "slug": "cognee",
      "name": "Cognee",
      "vendor": "Cognee",
      "vendorUrl": "https://www.cognee.ai",
      "kind": "platform",
      "category": "agent-memory",
      "summary": "Open-source memory engine that turns documents, conversations and synced sources into a knowledge graph plus a vector index and answers queries over both.",
      "url": "https://www.anchorterminal.com/tools/cognee",
      "markdownUrl": "https://www.anchorterminal.com/tools/cognee.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cognee.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cognee.json",
      "repo": "https://github.com/topoteretes/cognee",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "stdio",
        "sse"
      ],
      "remoteUrl": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "cognee"
        },
        {
          "registry": "oci",
          "name": "cognee/cognee-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Cognee Cloud takes an `X-Api-Key` header on a per-tenant host, and keys can be rotated. A local Docker server runs without auth unless you turn it on, then takes a Bearer token. Since 1.6.0 (18 September 2026) the library builds and searches text memory with local models and no LLM key, and LLM-dependent stages skip when none is set. Set `LLM_API_KEY` for the full pipeline with a hosted model. Cognee MCP and Cognee Cloud are separate systems with different auth.",
      "pricing": "freemium",
      "pricingNotes": "Cognee Cloud Free is $0 with 1 million tokens included, 1 workspace, unlimited users and API calls, and no card. Standard is $1 per million tokens processed plus $5 a month for each extra workspace, and adds Slack, Notion, Linear and Google Drive sources. Enterprise is quoted, with bring-your-own-cloud (https://www.cognee.ai/pricing). The billing docs still show older plans (Hobby with 10 million tokens, Growth at $5 a tenant, Enterprise at $2,916 a month), which disagree with the pricing page. Credit is prepaid from $0.50, with optional auto-recharge (https://docs.cognee.ai/cognee-cloud/functionality/account-and-billing). The open-source library is free to run yourself.",
      "priceSummary": "$5 / mo",
      "where": "both",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 7,
      "popularity": {
        "githubStars": 31200,
        "npmWeekly": null,
        "pypiWeekly": 20830,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.cognee.ai",
      "llmsTxt": "https://docs.cognee.ai/llms.txt",
      "openapi": "https://docs.cognee.ai/cognee_openapi_spec.json",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.delete"
      ],
      "tags": [
        "open-source",
        "self-hosted",
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "mcp",
        "llms-txt",
        "python",
        "eu"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 54.6,
        "grade": "C",
        "agentReady": false,
        "rank": 320,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 59,
          "maintenance": 82,
          "payments": 35,
          "reliability": 50,
          "schema": 85,
          "security": 39,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-05-01: a commit titled as a fix removed 11 MCP tools, including cognify, search, delete and prune, with cognee-mcp at 0.5.4 before and after, and the README the day before listed them as \"still available\" with no deprecation note. The replacements remember, recall and forget had shipped on 10 April and the tools reference now lists what went, so we deduct at the low end (https://github.com/topoteretes/cognee/commit/b52fcc335f6bfc090d1c892afa9c4e81909336fe)"
        ],
        "verdict": "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.",
        "strengths": [
          "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0",
          "7-tool MCP server with search_tools and call_tool for reaching the rest on demand",
          "Public OpenAPI 3.1 file with 46 paths and error models",
          "Metered Cloud at $1 per million tokens, 1 million free with no card",
          "Eight stable PyPI releases from 15 August to 29 September 2026, with CI passing on main"
        ],
        "weaknesses": [
          "No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region",
          "Cloud calls hung rather than failing when a tenant ran out of credit (August 2026), and the issue is still open",
          "Billing docs and pricing page disagree on plans and the free allowance",
          "Library telemetry is on by default and sends a persistent machine ID and an ID derived from the LLM key",
          "11 MCP tools were removed in May 2026 without a version bump or notice"
        ],
        "agentNotes": [
          "Use remember, recall and forget. The older cognify, search and delete MCP tools are gone",
          "Always include /api/v1 in REST paths",
          "Check cognify_status before querying data you added with background=true",
          "Never pass everything=true to forget unless you mean to wipe all of the user's memory",
          "Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 54.6
          }
        ],
        "editorialScores": {
          "ergonomics": 59,
          "maintenance": 82,
          "payments": 35,
          "reliability": 50,
          "schema": 85,
          "security": 39,
          "transparency": 69
        },
        "provenanceScore": 65
      },
      "connect": {
        "install": "pip install cognee",
        "http": "# COGNEE_URL is your tenant host, e.g. https://\u003ctenant\u003e.aws.cognee.ai\ncurl -X POST \"$COGNEE_URL/api/v1/search\" -H \"X-Api-Key: $COGNEE_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"What does the user prefer?\"}'",
        "claudeCode": "docker run -d -e TRANSPORT_MODE=http -e LLM_API_KEY=$LLM_API_KEY -p 8000:8000 cognee/cognee-mcp:main\nclaude mcp add --transport http cognee http://localhost:8000/mcp",
        "config": {
          "mcpServers": {
            "cognee": {
              "args": [
                "run",
                "-i",
                "--rm",
                "-e",
                "LLM_API_KEY",
                "cognee/cognee-mcp:main"
              ],
              "command": "docker",
              "env": {
                "LLM_API_KEY": "${LLM_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/cognee"
      },
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Standard token processing",
          "unit": "1m-tokens",
          "usd": 1,
          "note": "1 million tokens free"
        },
        {
          "item": "Extra workspace",
          "unit": "month",
          "usd": 5
        }
      ],
      "provenance": {
        "legalEntity": "Topoteretes UG (haftungsbeschränkt)",
        "domain": "cognee.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.cognee.ai/gtc-eu",
        "privacy": "https://www.cognee.ai/privacy-notice",
        "statusPage": "",
        "changelog": "https://github.com/topoteretes/cognee/releases",
        "securityTxt": "none",
        "checked": "2026-10-02",
        "notes": [
          "The general terms, updated 27 March 2026, name Topoteretes UG (haftungsbeschränkt), Amtsgericht Charlottenburg HRB 252065 B, Paul-Lincke-Ufer 39-40, 10999 Berlin, under German law.",
          "www.cognee.ai/.well-known/security.txt returns 404, and we found no status page.",
          "The privacy notice, current version 20 September 2026, says Cognee Cloud is operated by Cognee Inc. and hosted in AWS us-east-1, while the general terms name Topoteretes UG in Berlin. SECURITY.md in the repository sends reports to security@cognee.ai."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cognee.json",
      "live": {
        "slug": "cognee",
        "probe": {
          "target": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1",
          "method": "get",
          "lastAt": "2026-10-05T03:17:24.232799963Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "DNS lookup failed",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 273,
          "samples30d": 938,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 0
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 0
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 0
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 0
            },
            {
              "date": "2026-10-05",
              "probes": 38,
              "ok": 0
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "topoteretes/cognee",
            "version": "v1.6.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:24:05.468766325Z"
          },
          {
            "registry": "pypi",
            "name": "cognee",
            "version": "1.6.2",
            "released": "2026-09-29",
            "seenAt": "2026-10-04T16:24:05.282815483Z"
          }
        ],
        "githubStars": 31352,
        "pypiWeekly": 22752,
        "securityTxt": {
          "url": "https://cognee.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:50.060532442Z"
        },
        "llmsTxt": {
          "url": "https://docs.cognee.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:26.553412423Z"
        },
        "domain": {
          "domain": "cognee.ai",
          "registered": "2023-12-21",
          "source": "https://rdap.identitydigital.services/rdap/domain/cognee.ai",
          "checkedAt": "2026-10-04T13:09:11.691283649Z"
        },
        "pages": [
          {
            "url": "https://www.cognee.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:51.729470579Z",
            "changedAt": "2026-10-04T15:49:51.729470579Z",
            "fingerprint": "d56cccad38df"
          },
          {
            "url": "https://www.cognee.ai/privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:53.709284309Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "c5fb8fa4d461"
          },
          {
            "url": "https://www.cognee.ai/gtc-eu",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-04T15:49:49.609263653Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9bd64eccc606"
          }
        ],
        "updatedAt": "2026-10-05T03:17:24.232799963Z"
      }
    },
    "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": "2026-10-05T03:17:27.078808811Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 368,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 134,
          "p95ms24h": 408,
          "samples24h": 273,
          "samples30d": 938,
          "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": 38,
              "ok": 38
            }
          ]
        },
        "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",
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        "pypiWeekly": 131942,
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  "markdown": "Honcho has a score of 64.2 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is payments \u0026 pricing, 45 points. Honcho accepts x402. Cognee doesn't.\n\n- Cognee: grade C, 54.6/100, rank #320 of 452. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.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 Cognee for schema \u0026 documentation (+6), maintenance \u0026 community (+9).\n\nPick Honcho for agent ergonomics (+6), security \u0026 auth (+9), payments \u0026 pricing (+45).\n\n## Score by category\n\n| Category | Weight | Cognee | 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) | 85 | 79 | Cognee +6 |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 65 | Honcho +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 39 | 48 | Honcho +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 80 | Honcho +45 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 73 | Cognee +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 69 | Honcho +2 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **54.6 · C** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Cognee | Honcho |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cognee | Plastic Labs |\n| Hosted endpoint | `https://\u003ctenant\u003e.aws.cognee.ai/api/v1` | `https://api.honcho.dev/v3` |\n| Transports | HTTP, stdio, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | yes, from $0.001/call |\n| Licence | Apache-2.0 | AGPL-3.0 |\n| Tools exposed | 7 | 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 | yes | yes |\n| MCP registry | not listed | `io.github.plastic-labs/honcho` |\n| Last release | 2026-09-29 | 2026-09-24 |\n| Popularity | 31k stars, 21k PyPI/wk | 7.4k stars, 18k npm/wk |\n| Agent reviews | 3/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Cognee.** Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.\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### Cognee\n\n1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone\n2. Always include /api/v1 in REST paths\n3. Check cognify_status before querying data you added with background=true\n4. Never pass everything=true to forget unless you mean to wipe all of the user's memory\n5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs\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 Cognee or Honcho\n\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md)\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Cognee vs LocalGhost](https://www.anchorterminal.com/compare/cognee-vs-localghost.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.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 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 Cognee's 54.6 (C). Both do memory store. The largest gap is payments \u0026 pricing, 45 points. Honcho accepts x402. Cognee doesn't. Category scores, facts, verdicts and agent notes side by side.",
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