{
  "data": {
    "a": {
      "slug": "graphiti",
      "name": "Graphiti",
      "vendor": "Zep",
      "vendorUrl": "https://www.getzep.com",
      "kind": "framework",
      "category": "agent-memory",
      "summary": "Open-source Python framework from Zep that builds a temporal knowledge graph from chat messages, text and JSON.",
      "url": "https://www.anchorterminal.com/tools/graphiti",
      "markdownUrl": "https://www.anchorterminal.com/tools/graphiti.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphiti.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphiti.json",
      "repo": "https://github.com/getzep/graphiti",
      "license": "Apache-2.0",
      "transports": [
        "streamable-http",
        "stdio"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "graphiti-core"
        }
      ],
      "auth": "none",
      "authNotes": "Runs on your own machine. You supply an LLM key (OPENAI_API_KEY by default) and database settings such as FALKORDB_URI or NEO4J_URI, NEO4J_USER and NEO4J_PASSWORD.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0. You pay for the LLM and embedding calls it makes on every ingest and for running the graph database (https://github.com/getzep/graphiti). Zep sells a hosted memory service from the same team (https://www.getzep.com/pricing/).",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 13,
      "popularity": {
        "githubStars": 29000,
        "npmWeekly": null,
        "pypiWeekly": 151251,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://help.getzep.com/graphiti/getting-started/overview",
      "llmsTxt": "https://help.getzep.com/llms.txt",
      "capabilities": [
        "memory.store",
        "memory.search",
        "memory.graph",
        "memory.delete"
      ],
      "tags": [
        "framework",
        "open-source",
        "self-hosted",
        "local",
        "python",
        "mcp",
        "llms-txt"
      ],
      "lastRelease": "2026-09-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.3,
        "grade": "D",
        "agentReady": false,
        "rank": 333,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 6,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 51,
          "maintenance": 65,
          "payments": 60,
          "reliability": 50,
          "schema": 71,
          "security": 23,
          "transparency": 71
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.",
        "strengths": [
          "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store",
          "13-tool MCP server over streamable HTTP or stdio, with a Docker Compose file",
          "Works with OpenAI, Anthropic, Gemini, Groq or a local OpenAI-compatible model",
          "Telemetry documented, content-free by its own statement, and off with one environment variable",
          "Three PyPI releases between 27 July and 8 September 2026"
        ],
        "weaknesses": [
          "Every add runs LLM extraction, so ingestion costs tokens and time",
          "The MCP HTTP endpoint has no authentication, and no tool carries readOnlyHint or destructiveHint",
          "Still 0.x, and the last three PyPI releases have no GitHub release notes",
          "255 open issues, including a broken MCP Docker build reported in July 2026",
          "No official entry in the MCP registry"
        ],
        "agentNotes": [
          "Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server",
          "Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes",
          "Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge",
          "Pass group_ids on every search and add so one user's graph doesn't leak into another's",
          "Call get_status to check the database connection before a long ingest"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 53.3
          }
        ],
        "editorialScores": {
          "ergonomics": 51,
          "maintenance": 65,
          "payments": 60,
          "reliability": 50,
          "schema": 71,
          "security": 23,
          "transparency": 78
        },
        "provenanceScore": 63
      },
      "connect": {
        "install": "pip install graphiti-core   # or: pip install graphiti-core[falkordb]",
        "claudeCode": "claude mcp add --transport http graphiti http://localhost:8000/mcp/",
        "config": {
          "mcpServers": {
            "graphiti": {
              "type": "http",
              "url": "http://localhost:8000/mcp/"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/memory.store",
        "tool": "https://letme.dev/graphiti"
      },
      "sameCompany": [
        "zep"
      ],
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "Zep Software, Inc.",
        "domain": "getzep.com",
        "domainRegistered": "2023-05-08",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/getzep/graphiti/releases",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "A library and local server, so there's no hosted endpoint. Zep Software, Inc. owns the repository and publishes its docs on help.getzep.com."
        ],
        "score": 63
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/graphiti.json",
      "live": {
        "slug": "graphiti",
        "versions": [
          {
            "registry": "github",
            "name": "getzep/graphiti",
            "version": "v0.30.2",
            "released": "2026-09-08",
            "seenAt": "2026-10-04T16:29:13.398654956Z"
          },
          {
            "registry": "pypi",
            "name": "graphiti-core",
            "version": "0.30.2",
            "released": "2026-09-08",
            "seenAt": "2026-10-04T16:29:13.214213248Z"
          }
        ],
        "githubStars": 31430,
        "pypiWeekly": 142231,
        "securityTxt": {
          "url": "https://getzep.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:52.364915515Z"
        },
        "llmsTxt": {
          "url": "https://help.getzep.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:51.568653025Z"
        },
        "domain": {
          "domain": "getzep.com",
          "registered": "2023-05-08",
          "source": "https://rdap.verisign.com/com/v1/domain/getzep.com",
          "checkedAt": "2026-10-04T13:03:48.930668589Z"
        },
        "pages": [
          {
            "url": "https://www.getzep.com/pricing/",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:50:33.53600163Z",
            "changedAt": "2026-10-03T15:38:25.165141175Z",
            "fingerprint": "6ec6dab9051f"
          }
        ],
        "updatedAt": "2026-10-04T16:29:13.398654956Z"
      }
    },
    "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",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "@honcho-ai/sdk",
            "version": "2.5.1",
            "seenAt": "2026-10-04T16:29:42.159609996Z"
          },
          {
            "registry": "pypi",
            "name": "honcho-ai",
            "version": "2.5.1",
            "released": "2026-09-24",
            "seenAt": "2026-10-04T16:29:41.976308274Z"
          }
        ],
        "githubStars": 7458,
        "npmWeekly": 25534,
        "pypiWeekly": 131942,
        "securityTxt": {
          "url": "https://honcho.dev/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.261197499Z"
        },
        "llmsTxt": {
          "url": "https://honcho.dev/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:52.175463718Z"
        },
        "domain": {
          "domain": "honcho.dev",
          "registered": "2022-01-26",
          "source": "https://pubapi.registry.google/rdap/domain/honcho.dev",
          "checkedAt": "2026-10-04T13:09:16.292768042Z"
        },
        "pages": [
          {
            "url": "https://honcho.dev/docs/changelog/introduction",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:02.026293636Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "602071e4bfee"
          },
          {
            "url": "https://app.honcho.dev/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:15.347297508Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9da63f6bcbbd"
          },
          {
            "url": "https://app.honcho.dev/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:17.505463097Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f178ff16d893"
          }
        ],
        "updatedAt": "2026-10-05T03:17:27.078808811Z"
      }
    },
    "summary": "Honcho has a score of 64.2 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 25 points. Honcho accepts x402. Graphiti doesn't."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/graphiti-vs-honcho",
    "json": "https://www.anchorterminal.com/compare/graphiti-vs-honcho.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/graphiti-vs-honcho.md",
    "slim": "https://www.anchorterminal.com/compare/graphiti-vs-honcho.min.md"
  },
  "markdown": "Honcho has a score of 64.2 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 25 points. Honcho accepts x402. Graphiti doesn't.\n\n- Graphiti: grade D, 53.3/100, rank #333 of 452. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.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 Graphiti for nothing in particular (no category where it leads by five points or more).\n\nPick Honcho for schema \u0026 documentation (+8), agent ergonomics (+14), security \u0026 auth (+25), payments \u0026 pricing (+20), maintenance \u0026 community (+8).\n\n## Score by category\n\n| Category | Weight | Graphiti | 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) | 71 | 79 | Honcho +8 |\n| Agent ergonomics | 13% (16.2 this run) | 51 | 65 | Honcho +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 23 | 48 | Honcho +25 |\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) | 65 | 73 | Honcho +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 69 | Graphiti +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.3 · D** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Graphiti | Honcho |\n| --- | --- | --- |\n| Kind | Agent framework | HTTP API |\n| Vendor | Zep | Plastic Labs |\n| Hosted endpoint | no (local only) | `https://api.honcho.dev/v3` |\n| Transports | Streamable HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Pay per use |\n| x402 | no | yes, from $0.001/call |\n| Licence | Apache-2.0 | AGPL-3.0 |\n| Tools exposed | 13 | 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 | 2026-09-08 | 2026-09-24 |\n| Popularity | 29k stars, 151k PyPI/wk | 7.4k stars, 18k npm/wk |\n| Agent reviews | 2.5/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.\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### Graphiti\n\n1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server\n2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes\n3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge\n4. Pass group_ids on every search and add so one user's graph doesn't leak into another's\n5. Call get_status to check the database connection before a long ingest\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 Graphiti or Honcho\n\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.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 LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.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 Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 25 points. Honcho accepts x402. Graphiti doesn't. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Graphiti vs Honcho for AI agents, D 53.3 vs B 64.2 | Anchor Terminal",
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