{ "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 Graphiti's 53.3 (D), and leads in 4 of 7 scored categories. Graphiti leads on maintenance \u0026 community.", "b": { "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": 761, "ranked": true, "rankOf": 1094, "categoryRank": 9, "methodology": "0.4", "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.", "bestFor": "Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database.", "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": "0.4", "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": "2026-10-14T23:56:10.608458696Z" }, { "registry": "pypi", "name": "graphiti-core", "version": "0.30.2", "released": "2026-09-08", "seenAt": "2026-10-14T23:56:10.414919704Z" } ], "githubStars": 31752, "pypiWeekly": 177043, "securityTxt": { "url": "https://getzep.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:25.491323115Z" }, "llmsTxt": { "url": "https://help.getzep.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:11.956478027Z" }, "domain": { "domain": "getzep.com", "registered": "2023-05-08", "source": "https://rdap.verisign.com/com/v1/domain/getzep.com", "checkedAt": "2026-10-11T13:14:22.06785838Z" }, "pages": [ { "url": "https://www.getzep.com/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-14T21:13:06.716131111Z", "changedAt": "2026-10-03T15:38:25.165141175Z", "fingerprint": "6ec6dab9051f" } ], "updatedAt": "2026-10-14T23:56:10.608458696Z" } }, "facts": [ { "a": "MCP server", "b": "Agent framework", "name": "Kind" }, { "a": "KarLex AI, Inc.", "b": "Zep", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio, Streamable HTTP", "b": "Streamable HTTP, stdio", "name": "Transports" }, { "a": "OAuth or key", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "25", "b": "13", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-14", "b": "2026-09-08", "name": "Last release" }, { "a": "2025-03-14", "b": "no document linked", "name": "Terms last updated" }, { "a": "2025-03-14", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "144 stars", "b": "29k stars, 151k 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 Graphiti's 53.3 (D), and leads in 4 of 7 scored categories. Graphiti leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Graphicle or Graphiti?" }, { "answer": "Graphicle runs on your own machine, with no hosted endpoint listed. Graphiti runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Graphicle and Graphiti without installing anything?" }, { "answer": "Yes. Graphicle is open source (Apache-2.0). Graphiti is open source (Apache-2.0).", "question": "Are Graphicle and Graphiti open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 63 against 50", "Schema \u0026 documentation, 83 against 71", "Agent ergonomics, 86 against 51", "Security \u0026 auth, 69 against 23" ], "also": [ "Free to start without a card" ], "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, 65 against 48" ], "also": [ "No key needed to call it" ], "goodFor": "Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database.", "slug": "graphiti", "watchFor": "Every add runs LLM extraction, so ingestion costs tokens and time" } ], "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-graphiti.json", "title": "Amazon Bedrock AgentCore Memory vs Graphiti", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti" }, { "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-graphiti.json", "title": "Cognee vs Graphiti", "url": "https://www.anchorterminal.com/compare/cognee-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-hindsight.json", "title": "Graphiti vs Hindsight", "url": "https://www.anchorterminal.com/compare/graphiti-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-honcho.json", "title": "Graphiti vs Honcho", "url": "https://www.anchorterminal.com/compare/graphiti-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-langmem.json", "title": "Graphiti vs LangMem", "url": "https://www.anchorterminal.com/compare/graphiti-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-localghost.json", "title": "Graphiti vs LocalGhost", "url": "https://www.anchorterminal.com/compare/graphiti-vs-localghost" }, { "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/graphiti-vs-memory-reference-server.json", "title": "Graphiti vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.json", "title": "Graphiti vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-zep.json", "title": "Graphiti vs Zep", "url": "https://www.anchorterminal.com/compare/graphiti-vs-zep" }, { "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-mem0.json", "title": "Graphicle vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0" }, { "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": 13, "edge": "graphicle", "graphicle": 63, "graphiti": 50, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "edge": "graphicle", "graphicle": 83, "graphiti": 71, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 35, "edge": "graphicle", "graphicle": 86, "graphiti": 51, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 46, "edge": "graphicle", "graphicle": 69, "graphiti": 23, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "graphicle": 60, "graphiti": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 17, "edge": "graphiti", "graphicle": 48, "graphiti": 65, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 3, "edge": "graphiti", "graphicle": 68, "graphiti": 71, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Graphicle scores 69.8 (B) on agent readiness against Graphiti's 53.3 (D), and leads in 4 of 7 scored categories. Graphiti 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.", "graphiti": "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti", "json": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti.md", "slim": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti.min.md" }, "markdown": "Graphicle scores 69.8 (B) on agent readiness against Graphiti's 53.3 (D), and leads in 4 of 7 scored categories. Graphiti 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- Graphiti: grade D, 53.3/100, rank #761 of 1094. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.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 50\n- Schema \u0026 documentation, 83 against 71\n- Agent ergonomics, 86 against 51\n- Security \u0026 auth, 69 against 23\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: One release, v0.1.0 on 14 October 2026, from a repository created that day\n\n### Graphiti (D)\n\nGood for: Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database.\n\nAhead on:\n- Maintenance \u0026 community, 65 against 48\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Every add runs LLM extraction, so ingestion costs tokens and time\n\n\n## Score by category\n\n| Category | Weight | Graphicle | Graphiti | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 63 | 50 | Graphicle +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 71 | Graphicle +12 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 51 | Graphicle +35 |\n| Security \u0026 auth | 14% (17.5 this run) | 69 | 23 | Graphicle +46 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 48 | 65 | Graphiti +17 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 71 | Graphiti +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.8 · B** | **53.3 · D** | |\n\n## Facts side by side\n\n| Fact | Graphicle | Graphiti |\n| --- | --- | --- |\n| Kind | MCP server | Agent framework |\n| Vendor | KarLex AI, Inc. | Zep |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio, Streamable HTTP | Streamable HTTP, stdio |\n| Auth | OAuth or key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 25 | 13 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-14 | 2026-09-08 |\n| Terms last updated | 2025-03-14 | no document linked |\n| Privacy policy last updated | 2025-03-14 | no document linked |\n| Customer content may train models | yes, with an opt-out | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 144 stars | 29k stars, 151k 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**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## 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### 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## Questions\n\n### Which is better for AI agents, Graphicle or Graphiti?\n\nGraphicle scores 69.8 (B) on agent readiness against Graphiti's 53.3 (D), and leads in 4 of 7 scored categories. Graphiti leads on maintenance \u0026 community.\n\n### Can an agent call Graphicle and Graphiti without installing anything?\n\nGraphicle runs on your own machine, with no hosted endpoint listed. Graphiti runs on your own machine, with no hosted endpoint listed.\n\n### Are Graphicle and Graphiti open source?\n\nYes. Graphicle is open source (Apache-2.0). Graphiti is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/graphicle-vs-graphiti.json, and with the fewest tokens: https://www.anchorterminal.com/compare/graphicle-vs-graphiti.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"graphicle\", \"b\": \"graphiti\"}`. From a terminal: `anchor compare graphicle graphiti`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/graphicle.json and https://www.anchorterminal.com/api/v1/tools/graphiti.json\n\n## Other comparisons with Graphicle or Graphiti\n\n- [Amazon Bedrock AgentCore Memory vs Graphicle](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.md)\n- [Amazon Bedrock AgentCore Memory vs Graphiti](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.md)\n- [Cognee vs Graphicle](https://www.anchorterminal.com/compare/cognee-vs-graphicle.md)\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md)\n- [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.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 Memory (MCP reference server)](https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.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- [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 Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.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 Graphiti", "url": "" } ], "description": "Graphicle scores 69.8 (B) to Graphiti's 53.3 (D) for memory search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Graphicle B 69.8", "Graphiti D 53.3", "scores" ], "h1": "Graphicle vs Graphiti", "image": "https://www.anchorterminal.com/assets/og/compare-graphicle-vs-graphiti.png", "path": "/compare/graphicle-vs-graphiti", "published": "2026-10-01", "section": "tools", "title": "Graphicle vs Graphiti for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti" }, "tokens": { "markdown": 2150, "slim": 630 }, "version": 1 }