{ "data": { "a": { "slug": "graphicle", "name": "Graphicle", "vendor": "KarLex AI, Inc.", "vendorUrl": "https://www.karlex.ai/graphicle", "kind": "mcp", "category": "agent-memory", "summary": "Graphicle is an open-source Rust program that builds a code graph of a repository and keeps its documents, reviewed decisions and past coding-agent sessions, served to Claude Code, Codex, Cursor and other MCP clients as cited excerpts.", "url": "https://www.anchorterminal.com/tools/graphicle", "markdownUrl": "https://www.anchorterminal.com/tools/graphicle.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphicle.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphicle.json", "repo": "https://github.com/Graphicle-AI/graphicle", "license": "Apache-2.0", "transports": [ "stdio", "streamable-http" ], "packages": [], "auth": "mixed", "authNotes": "No account. The stdio server (`graphicle mcp`) runs with the owner key saved in the local data folder, which reads every project in the store. Over HTTP (`graphicle serve`, 127.0.0.1:8854 by default) each agent or person gets its own access key with a role, optional expiry and optional project list, sent as `Authorization: Bearer` or `X-Workspace-Capability`, never in the URL. Keys are stored as hashes and can be revoked.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 for individuals and teams, with nothing to buy. A commercial edition for teams is in private preview with no published prices. Optional model calls (answers, memory extraction, full document extraction) are paid to the provider the owner configures, or run locally through Ollama.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README, docs or karlex.ai (checked 2026-10-15). The software has no paid tier.", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 144, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://github.com/Graphicle-AI/graphicle/blob/main/docs/quickstart.md", "capabilities": [ "memory.search", "memory.graph", "memory.store", "memory.delete" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "apache-2.0", "rust", "mcp", "macos", "linux" ], "lastRelease": "2026-10-14", "graded": true, "anchor": { "graded": true, "score": 69.8, "grade": "B", "agentReady": false, "rank": 178, "ranked": true, "rankOf": 1094, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 86, "maintenance": 48, "payments": 60, "reliability": 63, "schema": 83, "security": 69, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": 0, "verdict": "One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.", "bestFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.", "strengths": [ "25 MCP tools with closed JSON Schema inputs, enums and limits, readOnlyHint on every read tool, and an idempotency key on `propose_memory`", "Recall returns excerpts with file, line range and hash, within a `max_tokens` budget, and `skip_shown` avoids resending excerpts", "Agent-proposed memories need verbatim quotes and a person's approval, and the MCP server has no tool that deletes or runs commands", "No telemetry or account. The source calls out only to models, connectors and GitHub that the owner configures", "Apache-2.0 with detailed NOTICE files, a SECURITY.md with private GitHub reporting and a valid security.txt at karlex.ai" ], "weaknesses": [ "One release, v0.1.0 on 14 October 2026, from a repository created that day", "The cargo-deny licence and advisory job failed on both pushes to main, though the test jobs passed on macOS and Linux", "The stdio server runs with the owner key, so its graph tools can read any project in the store unless an HTTP key is scoped", "SDKs are source-only, no llms.txt, not in the official MCP registry, and no native Windows build", "The team audit trail is in the commercial edition. Core shows usage counters and deletion receipts only" ], "agentNotes": [ "Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt", "Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project", "Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory", "Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it", "Over HTTP send the key as `Authorization: Bearer`, never in the URL, and on 429 wait for the Retry-After reset" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.8 } ], "editorialScores": { "ergonomics": 86, "maintenance": 48, "payments": 60, "reliability": 63, "schema": 83, "security": 69, "transparency": 71 }, "provenanceScore": 65 }, "connect": { "install": "brew install graphicle-ai/tap/graphicle \u0026\u0026 cd your-repo \u0026\u0026 graphicle setup", "claudeCode": "graphicle sync . \u0026\u0026 graphicle connect claude-code", "config": { "mcpServers": { "graphicle": { "args": [ "mcp", "--project", "PROJECT_ID" ], "command": "/full/path/to/graphicle" } } } }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/graphicle" }, "area": "agent-runtime", "provenance": { "legalEntity": "KarLex AI, Inc.", "domain": "karlex.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://www.karlex.ai/legal/terms", "privacy": "https://www.karlex.ai/legal/privacy", "statusPage": "", "changelog": "https://github.com/Graphicle-AI/graphicle/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-10-15", "notes": [ "The README and LICENSE read Copyright 2026 KarLex AI, Inc. karlex.ai names KarLex AI as the company behind Graphicle and links the graphicle-ai GitHub organisation, created on 29 September 2026.", "The terms of use and privacy policy at karlex.ai are dated 14 March 2025 and cover the website and its accounts, not the Graphicle software, which runs on the user's machine.", "karlex.ai/.well-known/security.txt names security@karlexai.com and expires on 7 April 2027 (read 15 October 2026). karlexai.com redirects to karlex.ai; RDAP at Verisign gives karlexai.com a registration date of 20 December 2023. The .ai registration date was not read.", "karlex.ai's robots.txt allows all crawlers.", "The software runs on the owner's machine, so there is no vendor endpoint or status page to check." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/graphicle.json" }, "answer": "Graphicle scores 69.8 (B) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 6 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.", "b": { "slug": "mem0", "name": "Mem0 Platform + MCP", "vendor": "Mem0", "vendorUrl": "https://mem0.ai", "kind": "http-api", "category": "agent-memory", "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.", "url": "https://www.anchorterminal.com/tools/mem0", "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json", "repo": "https://github.com/mem0ai/mem0", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.mem0.ai", "packages": [ { "registry": "pypi", "name": "mem0ai" }, { "registry": "npm", "name": "mem0ai" } ], "auth": "api-key", "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.", "pricing": "freemium", "pricingNotes": "Hobby is free with 10,000 add requests and 1,000 retrieval requests a month and 1 project. Starter is $19 a month (50,000 adds, 5,000 retrievals). Pro is $249 a month (500,000 adds, 50,000 retrievals, unlimited projects, graph memory, advanced analytics and Dream memory consolidation). Enterprise is custom, with on-prem deployment, audit logs and SSO. The page lists no overage prices or yearly discount (https://mem0.ai/pricing). The free tier needs no card (https://docs.mem0.ai/platform/platform-vs-oss).", "priceSummary": "$19 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": 65900, "npmWeekly": 167841, "pypiWeekly": 501642, "asOf": "2026-09-30" }, "docsUrl": "https://docs.mem0.ai", "llmsTxt": "https://mem0.ai/llms.txt", "openapi": "https://docs.mem0.ai/openapi.json", "registryName": "io.github.mem0ai/mem0", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-09-25", "graded": true, "anchor": { "graded": true, "score": 56.1, "grade": "C", "agentReady": false, "rank": 685, "ranked": true, "rankOf": 1094, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 85, "payments": 50, "reliability": 30, "schema": 80, "security": 45, "transparency": 60 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.", "bestFor": "Chat products that want per-user facts back with one search call and little setup.", "strengths": [ "An agent can create its own Free account with `mem0 init --agent`, no email and no card", "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0", "Public OpenAPI spec, llms.txt and Python and TypeScript SDKs, both released on 2026-09-25", "Apache-2.0 library that runs the same extraction on your own servers" ], "weaknesses": [ "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026", "No published rate limits or 429 handling, and only 400 and 404 documented as errors", "Retrieval caps are low below Pro, 1,000 a month free and 5,000 on Starter", "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode", "SOC 2 Type I, not Type II, and no security.txt" ], "agentNotes": [ "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer", "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID", "Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users", "Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches", "On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 85, "payments": 50, "reliability": 30, "schema": 80, "security": 45, "transparency": 56 }, "provenanceScore": 64 }, "connect": { "install": "pip install mem0ai # or: npm install mem0ai", "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'", "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"", "config": { "mcpServers": { "mem0": { "headers": { "Authorization": "Bearer ${MEM0_API_KEY}" }, "type": "http", "url": "https://mcp.mem0.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/mem0" }, "area": "agent-runtime", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 19, "note": "50,000 adds and 5,000 retrievals a month" }, { "item": "Pro plan", "unit": "month", "usd": 249, "note": "500,000 adds and 50,000 retrievals a month, graph memory" } ], "provenance": { "legalEntity": "Embedchain, Inc. (DBA Mem0)", "domain": "mem0.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://mem0.ai/terms", "privacy": "https://mem0.ai/privacy-policy", "statusPage": "https://status.mem0.ai", "changelog": "https://docs.mem0.ai/changelog/platform", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.", "mem0.ai/.well-known/security.txt returns 404." ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json", "live": { "slug": "mem0", "probe": { "target": "https://api.mem0.ai", "method": "get", "lastAt": "2026-10-15T11:30:00.275239616Z", "lastOk": true, "lastStatus": 200, "lastMs": 459, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 456, "p95ms24h": 512, "samples24h": 254, "samples30d": 3595, "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": 123, "ok": 123 } ] }, "vendorStatus": { "page": "https://status.mem0.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-15T10:06:44.175721251Z" }, "versions": [ { "registry": "github", "name": "mem0ai/mem0", "version": "ts-v3.3.1", "released": "2026-09-25", "seenAt": "2026-10-15T00:04:51.655821247Z" }, { "registry": "mcp-registry", "name": "io.github.mem0ai/mem0", "version": "1.0.0", "seenAt": "2026-10-15T04:34:40.660646921Z" }, { "registry": "npm", "name": "mem0ai", "version": "3.3.1", "seenAt": "2026-10-15T00:04:49.825757405Z" }, { "registry": "pypi", "name": "mem0ai", "version": "2.2.1", "released": "2026-09-25", "seenAt": "2026-10-15T00:04:49.63410321Z" } ], "githubStars": 67201, "npmWeekly": 152423, "pypiWeekly": 524109, "securityTxt": { "url": "https://mem0.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:24.399969789Z" }, "llmsTxt": { "url": "https://mem0.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:27.435795429Z" }, "domain": { "domain": "mem0.ai", "registered": "2024-05-15", "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai", "checkedAt": "2026-10-11T13:26:31.880382041Z" }, "pages": [ { "url": "https://docs.mem0.ai/changelog/platform", "kind": "changelog", "status": 200, "checkedAt": "2026-10-14T20:58:53.786602506Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "260709ea3b0d" }, { "url": "https://mem0.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-14T21:03:15.818805558Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a0e74db1e2b1" }, { "url": "https://mem0.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-14T21:03:18.010462783Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6ca47106ef6c" }, { "url": "https://mem0.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-14T21:03:19.92451551Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8cbc548b1c9a" } ], "updatedAt": "2026-10-15T11:30:00.275239616Z" } }, "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "KarLex AI, Inc.", "b": "Mem0", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.mem0.ai", "name": "Hosted endpoint" }, { "a": "stdio, Streamable HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "25", "b": "11", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.mem0ai/mem0", "name": "MCP registry" }, { "a": "2026-10-14", "b": "2026-09-25", "name": "Last release" }, { "a": "2025-03-14", "b": "no date given", "name": "Terms last updated" }, { "a": "2025-03-14", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "144 stars", "b": "66k stars, 168k npm/wk, 502k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Graphicle scores 69.8 (B) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 6 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Graphicle or Mem0 Platform + MCP?" }, { "answer": "Graphicle takes an API key or an OAuth sign-in. Mem0 Platform + MCP needs an API key.", "question": "Do Graphicle and Mem0 Platform + MCP need an API key?" }, { "answer": "Graphicle runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.", "question": "Can an agent call Graphicle and Mem0 Platform + MCP without installing anything?" }, { "answer": "Yes. Graphicle is open source (Apache-2.0). Mem0 Platform + MCP is open source (Apache-2.0).", "question": "Are Graphicle and Mem0 Platform + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 63 against 30", "Agent ergonomics, 86 against 63", "Security \u0026 auth, 69 against 45", "Payments \u0026 pricing, 60 against 50", "Transparency \u0026 trust, 68 against 60" ], "also": [ "Runs on your own machine" ], "goodFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.", "slug": "graphicle", "watchFor": "One release, v0.1.0 on 14 October 2026, from a repository created that day" }, { "aheadOn": [ "Maintenance \u0026 community, 85 against 48" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Chat products that want per-user facts back with one search call and little setup.", "slug": "mem0", "watchFor": "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026" } ], "job": { "capability": "memory.search", "name": "Memory search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.json", "title": "Amazon Bedrock AgentCore Memory vs Graphicle", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.json", "title": "Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-graphicle.json", "title": "Cognee vs Graphicle", "url": "https://www.anchorterminal.com/compare/cognee-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-mem0.json", "title": "Cognee vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/cognee-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-mem0.json", "title": "Graphiti vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphiti-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-mem0.json", "title": "Hindsight vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-mem0" }, { "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/langmem-vs-mem0.json", "title": "LangMem vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/langmem-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-mem0.json", "title": "LocalGhost vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/localghost-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json", "title": "Mem0 Platform + MCP vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json", "title": "Mem0 Platform + MCP vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/mem0-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-zep.json", "title": "Mem0 Platform + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/mem0-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti.json", "title": "Graphicle vs Graphiti", "url": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight.json", "title": "Graphicle vs Hindsight", "url": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight" }, { "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/graphicle-vs-khoj.json", "title": "Graphicle vs Khoj", "url": "https://www.anchorterminal.com/compare/graphicle-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-langmem.json", "title": "Graphicle vs LangMem", "url": "https://www.anchorterminal.com/compare/graphicle-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory.json", "title": "Graphicle vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-zep.json", "title": "Graphicle vs Zep", "url": "https://www.anchorterminal.com/compare/graphicle-vs-zep" } ], "scores": [ { "by": 33, "edge": "graphicle", "graphicle": 63, "key": "reliability", "mem0": 30, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "edge": "graphicle", "graphicle": 83, "key": "schema", "mem0": 80, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 23, "edge": "graphicle", "graphicle": 86, "key": "ergonomics", "mem0": 63, "name": "Agent ergonomics", "weight": 13 }, { "by": 24, "edge": "graphicle", "graphicle": 69, "key": "security", "mem0": 45, "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "edge": "graphicle", "graphicle": 60, "key": "payments", "mem0": 50, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 37, "edge": "mem0", "graphicle": 48, "key": "maintenance", "mem0": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 8, "edge": "graphicle", "graphicle": 68, "key": "transparency", "mem0": 60, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Graphicle scores 69.8 (B) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 6 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community. Both do memory search.", "verdicts": { "graphicle": "One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.", "mem0": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/graphicle-vs-mem0", "json": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.md", "slim": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.min.md" }, "markdown": "Graphicle scores 69.8 (B) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 6 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community. Both do memory search.\n\n- Graphicle: grade B, 69.8/100, rank #178 of 1094. Markdown https://www.anchorterminal.com/tools/graphicle.md · JSON https://www.anchorterminal.com/api/v1/tools/graphicle.json\n- Mem0 Platform + MCP: grade C, 56.1/100, rank #685 of 1094. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 65 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Graphicle (B)\n\nGood for: A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.\n\nAhead on:\n- Reliability, 63 against 30\n- Agent ergonomics, 86 against 63\n- Security \u0026 auth, 69 against 45\n- Payments \u0026 pricing, 60 against 50\n- Transparency \u0026 trust, 68 against 60\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: One release, v0.1.0 on 14 October 2026, from a repository created that day\n\n### Mem0 Platform + MCP (C)\n\nGood for: Chat products that want per-user facts back with one search call and little setup.\n\nAhead on:\n- Maintenance \u0026 community, 85 against 48\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n\n## Score by category\n\n| Category | Weight | Graphicle | Mem0 Platform + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 63 | 30 | Graphicle +33 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 80 | Graphicle +3 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 63 | Graphicle +23 |\n| Security \u0026 auth | 14% (17.5 this run) | 69 | 45 | Graphicle +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 50 | Graphicle +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 48 | 85 | Mem0 Platform + MCP +37 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 60 | Graphicle +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.8 · B** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Graphicle | Mem0 Platform + MCP |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | KarLex AI, Inc. | Mem0 |\n| Hosted endpoint | no (local only) | `https://api.mem0.ai` |\n| Transports | stdio, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 25 | 11 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.mem0ai/mem0` |\n| Last release | 2026-10-14 | 2026-09-25 |\n| Terms last updated | 2025-03-14 | no date given |\n| Privacy policy last updated | 2025-03-14 | no date given |\n| Customer content may train models | yes, with an opt-out | yes |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 144 stars | 66k stars, 168k npm/wk, 502k PyPI/wk |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**Graphicle.** One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.\n\n**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.\n\n## Before you call either\n\n### Graphicle\n\n1. Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt\n2. Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project\n3. Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory\n4. Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it\n5. Over HTTP send the key as `Authorization: Bearer`, never in the URL, and on 429 wait for the Retry-After reset\n\n### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users\n4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches\n5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size\n\n## Questions\n\n### Which is better for AI agents, Graphicle or Mem0 Platform + MCP?\n\nGraphicle scores 69.8 (B) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 6 of 7 scored categories. Mem0 Platform + MCP leads on maintenance \u0026 community.\n\n### Do Graphicle and Mem0 Platform + MCP need an API key?\n\nGraphicle takes an API key or an OAuth sign-in. Mem0 Platform + MCP needs an API key.\n\n### Can an agent call Graphicle and Mem0 Platform + MCP without installing anything?\n\nGraphicle runs on your own machine, with no hosted endpoint listed. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.\n\n### Are Graphicle and Mem0 Platform + MCP open source?\n\nYes. Graphicle is open source (Apache-2.0). Mem0 Platform + MCP is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/graphicle-vs-mem0.json, and with the fewest tokens: https://www.anchorterminal.com/compare/graphicle-vs-mem0.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"graphicle\", \"b\": \"mem0\"}`. From a terminal: `anchor compare graphicle mem0`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/graphicle.json and https://www.anchorterminal.com/api/v1/tools/mem0.json\n\n## Other comparisons with Graphicle or Mem0 Platform + MCP\n\n- [Amazon Bedrock AgentCore Memory vs Graphicle](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.md)\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Cognee vs Graphicle](https://www.anchorterminal.com/compare/cognee-vs-graphicle.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [Graphicle vs Graphiti](https://www.anchorterminal.com/compare/graphicle-vs-graphiti.md)\n- [Graphicle vs Hindsight](https://www.anchorterminal.com/compare/graphicle-vs-hindsight.md)\n- [Graphicle vs Honcho](https://www.anchorterminal.com/compare/graphicle-vs-honcho.md)\n- [Graphicle vs Khoj](https://www.anchorterminal.com/compare/graphicle-vs-khoj.md)\n- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.md)\n- [Graphicle vs Zep](https://www.anchorterminal.com/compare/graphicle-vs-zep.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-15", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Graphicle vs Mem0 Platform + MCP", "url": "" } ], "description": "Graphicle scores 69.8 (B) to Mem0 Platform's 56.1 (C) for memory search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Graphicle B 69.8", "Mem0 Platform + MCP C 56.1", "scores" ], "h1": "Graphicle vs Mem0 Platform + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-graphicle-vs-mem0.png", "path": "/compare/graphicle-vs-mem0", "published": "2026-10-01", "section": "tools", "title": "Graphicle vs Mem0 Platform for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0" }, "tokens": { "markdown": 2300, "slim": 680 }, "version": 1 }