{ "data": { "a": { "slug": "memory-reference-server", "name": "Memory (MCP reference server)", "vendor": "MCP project (reference servers)", "vendorUrl": "https://modelcontextprotocol.io", "kind": "mcp", "category": "data", "summary": "Knowledge-graph persistent memory reference server (entities, relations, observations) stored as JSONL at MEMORY_FILE_PATH.", "url": "https://www.anchorterminal.com/tools/memory-reference-server", "markdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json", "repo": "https://github.com/modelcontextprotocol/servers", "license": "MIT and Apache-2.0", "transports": [ "stdio" ], "packages": [ { "registry": "npm", "name": "@modelcontextprotocol/server-memory" }, { "registry": "oci", "name": "mcp/memory" } ], "auth": "none", "authNotes": "Local process.", "pricing": "free", "pricingNotes": "Open source.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "Local reference server, no payments.", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 90000, "npmWeekly": 136349, "pypiWeekly": null, "asOf": "2026-09-26" }, "docsUrl": "https://github.com/modelcontextprotocol/servers/blob/main/src/memory/README.md", "capabilities": [ "memory.graph" ], "tags": [ "reference", "local", "open-source" ], "lastRelease": "2026-08-31", "graded": true, "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.", "anchor": { "graded": true, "score": 54.4, "grade": "C", "agentReady": false, "rank": 816, "ranked": true, "rankOf": 1239, "categoryRank": 11, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 43, "payments": 60, "reliability": 52, "schema": 60, "security": 32, "transparency": 74 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.", "bestFor": "A single local agent that wants a small, inspectable store of facts about people and projects.", "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.", "strengths": [ "Nine tools with typed schemas and accurate read, destructive and idempotent annotations", "Plain JSONL storage at a path you choose, easy to back up, diff and edit by hand", "Writes are atomic since 2026.8.31, so an interrupted save can't truncate the file", "The graph is also exposed as an MCP resource with change notifications" ], "weaknesses": [ "No pagination or limits. `read_graph` returns everything and `search_nodes` every match", "The published version can lose one of two writes made in the same turn. The fix is merged but unreleased", "Search is case-insensitive substring matching, with no ranking or semantics", "The default file location is inside the package directory, where a reinstall or cache clean can remove it", "No read-only mode, and stored text returns verbatim in later sessions" ], "agentNotes": [ "Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache", "Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities", "Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31", "Create both entities before `create_relations`. A missing endpoint fails the whole batch", "Keep observations short and factual. They come back verbatim in every later read" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.4 } ], "editorialScores": { "ergonomics": 67, "maintenance": 43, "payments": 60, "reliability": 52, "schema": 60, "security": 32, "transparency": 74 }, "provenanceScore": 74, "checked": { "categories": { "ergonomics": "2026-10-01", "maintenance": "2026-10-01", "payments": "2026-10-01", "reliability": "2026-10-01", "schema": "2026-10-01", "security": "2026-10-01", "transparency": "2026-10-01" }, "last": "2026-10-01", "lastMoved": "2026-10-28", "oldest": "2026-10-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "claudeCode": "claude mcp add memory -- npx -y @modelcontextprotocol/server-memory", "config": { "mcpServers": { "memory": { "args": [ "-y", "@modelcontextprotocol/server-memory" ], "command": "npx", "env": { "MEMORY_FILE_PATH": "/data/memory.jsonl" } } } } }, "letme": { "capability": "https://letme.dev/memory.graph", "tool": "https://letme.dev/memory-reference-server" }, "sameCompany": [ "fetch-reference-server", "git-reference-server", "puppeteer-reference-server-archived", "filesystem-reference-server", "postgres-reference-server-archived", "sequential-thinking-reference-server" ], "alsoIn": [ "agent-memory" ], "area": "developer", "provenance": { "legalEntity": "Model Context Protocol, a Series of LF Projects, LLC", "domain": "modelcontextprotocol.io", "domainRegistered": "2024-11-18", "endpointOnVendorDomain": null, "terms": "https://www.lfprojects.org/policies/terms-of-use/", "privacy": "https://www.lfprojects.org/policies/privacy-policy/", "statusPage": "", "changelog": "https://github.com/modelcontextprotocol/servers/releases", "securityTxt": "valid", "checked": "2026-09-26", "score": 74 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/memory-reference-server.json", "live": { "slug": "memory-reference-server", "versions": [ { "registry": "github", "name": "modelcontextprotocol/servers", "version": "v2.2.0", "released": "2026-10-28", "seenAt": "2026-10-30T14:27:07.407205787Z" }, { "registry": "npm", "name": "@modelcontextprotocol/server-memory", "version": "2.0.1", "seenAt": "2026-10-30T14:27:07.146087224Z" } ], "githubStars": 91694, "npmWeekly": 265364, "securityTxt": { "url": "https://modelcontextprotocol.io/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-30T15:39:36.19076519Z" }, "domain": { "domain": "modelcontextprotocol.io", "checkedAt": "2026-10-25T14:02:39.415294808Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/modelcontextprotocol/servers/main/src/memory/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-30T05:49:31.426911178Z", "changedAt": "2026-10-29T05:16:41.890328162Z", "fingerprint": "a51c0d8064aa" } ], "github": { "repo": "modelcontextprotocol/servers", "checkedAt": "2026-10-26T07:47:31.838523183Z", "stars": 91569, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-25T05:26:36Z", "openIssues": 128, "openPRs": 23, "issuesOpened90d": 266, "issuesClosed90d": 457, "prsMerged90d": 186, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 0, "other": 6, "latest": "success", "latestAt": "2026-10-24T23:43:05Z" }, "advisories": [ { "ghsa": "GHSA-mvf5-2qqv-rg3c", "severity": "medium", "published": "2026-10-25T00:19:52Z" }, { "ghsa": "GHSA-hhwq-wxfx-cj7g", "severity": "low", "published": "2026-10-25T00:19:37Z" }, { "ghsa": "GHSA-53mr-w429-c597", "severity": "low", "published": "2026-10-25T00:19:21Z" }, { "ghsa": "GHSA-v38p-wf49-hx2j", "severity": "medium", "published": "2026-10-25T00:19:06Z" }, { "ghsa": "GHSA-66qx-2266-pmj6", "severity": "low", "published": "2026-10-25T00:18:52Z" }, { "ghsa": "GHSA-7rgq-gccq-qphx", "severity": "medium", "published": "2026-10-25T00:18:38Z" }, { "ghsa": "GHSA-4gxg-m5jx-9j57", "severity": "medium", "published": "2026-10-25T00:18:21Z" }, { "ghsa": "GHSA-3jqg-r5pp-rmp2", "severity": "low", "published": "2026-10-25T00:15:37Z" }, { "ghsa": "GHSA-vjqx-cfc4-9h6v", "cve": "CVE-2026-27735", "severity": "medium", "published": "2026-02-25T23:21:57Z" }, { "ghsa": "GHSA-j22h-9j4x-23w5", "cve": "CVE-2025-68145", "severity": "medium", "published": "2025-12-17T16:04:43Z" }, { "ghsa": "GHSA-9xwc-hfwc-8w59", "cve": "CVE-2025-68144", "severity": "medium", "published": "2025-12-17T16:01:56Z" }, { "ghsa": "GHSA-5cgr-j3jf-jw3v", "cve": "CVE-2025-68143", "severity": "medium", "published": "2025-12-17T15:55:26Z" }, { "ghsa": "GHSA-hc55-p739-j48w", "cve": "CVE-2025-53110", "severity": "high", "published": "2025-07-01T18:39:04Z" }, { "ghsa": "GHSA-q66q-fx2p-7w4m", "cve": "CVE-2025-53109", "severity": "high", "published": "2025-07-01T18:38:24Z" } ], "replies": { "sampled": 8, "unanswered": 8 } }, "updatedAt": "2026-10-30T15:39:36.19076519Z" } }, "answer": "TencentDB Agent Memory scores 56 (C) on agent readiness against Memory (MCP reference server)'s 54.4 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.", "b": { "slug": "tencentdb-agent-memory", "name": "TencentDB Agent Memory", "vendor": "Tencent Cloud", "vendorUrl": "https://github.com/TencentCloud/TencentDB-Agent-Memory", "kind": "http-api", "category": "agent-memory", "summary": "TencentDB Agent Memory is Tencent Cloud's MIT-licensed, self-hosted memory stack for coding agents. A proxy injects layered conversation memory, skills, wiki pages and code graphs into each request, with a team panel and HTTP API over SQLite.", "url": "https://www.anchorterminal.com/tools/tencentdb-agent-memory", "markdownUrl": "https://www.anchorterminal.com/tools/tencentdb-agent-memory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tencentdb-agent-memory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tencentdb-agent-memory.json", "repo": "https://github.com/TencentCloud/TencentDB-Agent-Memory", "license": "MIT", "transports": [ "http" ], "packages": [ { "registry": "oci", "name": "agentmemory/memory-core" }, { "registry": "oci", "name": "agentmemory/memory-hub" }, { "registry": "oci", "name": "agentmemory/memory-proxy" }, { "registry": "npm", "name": "@tencentdb-agent-memory/memory-tencentdb" }, { "registry": "npm", "name": "@tencentdb-agent-memory/memory-sdk-ts-v2" } ], "auth": "api-key", "authNotes": "Self-hosted, with no Tencent account. Agents reach memory through the proxy with a per-user key (`sk-mem-...`) sent as the Anthropic or OpenAI auth token, which the proxy checks against Memory Core. Users can hold several revocable keys, and the panel can log in through an OAuth2 identity provider. Memory Core's own bearer gate (`MEMORY_CORE_GATEWAY_API_KEY`) is empty by default, data-plane routes need only the `x-tdai-service-id` header, and the proxy's admin routes have no authentication (https://github.com/TencentCloud/TencentDB-Agent-Memory/blob/master/MemoryCore/v3-api-memorycore-doc.md).", "pricing": "free", "pricingNotes": "Free under MIT, with nothing to buy and no signup. The owner pays for the LLM calls that extract L1 to L3 memory, build wiki pages and code graphs and answer through the proxy, at whichever OpenAI-compatible or Anthropic-compatible provider is configured (https://github.com/TencentCloud/TencentDB-Agent-Memory/blob/master/INSTALL.md).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, install guide, API references or changelog read on 30 October 2026. Self-hosted open-source software with no paid endpoint.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 2218, "pypiWeekly": null, "asOf": "2026-10-30" }, "docsUrl": "https://github.com/TencentCloud/TencentDB-Agent-Memory/blob/master/INSTALL.md", "openapi": "https://github.com/TencentCloud/TencentDB-Agent-Memory/blob/master/MemoryKnowledge/openapi.yaml", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete", "knowledge.search" ], "tags": [ "self-hosted", "open-source", "local", "docker", "typescript", "python", "free", "no-card", "mit", "openai-compatible", "skills", "beta" ], "lastRelease": "2026-10-26", "graded": true, "anchor": { "graded": true, "score": 56, "grade": "C", "agentReady": false, "rank": 767, "ranked": true, "rankOf": 1239, "categoryRank": 14, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 70, "payments": 60, "reliability": 51, "schema": 61, "security": 30, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-30" }, "negative": 0, "verdict": "A self-hosted team memory stack with layered recall, per-asset visibility and ACLs, documented HTTP APIs and frequent releases, 2.0.0 to 2.0.3 since August. The default deployment publishes its ports on all host interfaces with the core's bearer gate off, data-plane deletes trust a service-ID header, and the proxy's rate-limit and session admin routes have no authentication.", "bestFor": "Small teams that run several coding agents on a host they control and want shared, permissioned memory, skills and code context injected through a proxy.", "strengths": [ "MIT licence in the repository and on every npm package, with three multi-architecture Docker images on Docker Hub's agentmemory account", "Layered recall from L3 persona and L2 scenarios down to L1 atoms and raw L0 conversation, with hybrid BM25 and vector search", "Assets are private by default, with team, restricted (user, role and agent ACLs) and agent visibility, and per-user revocable keys", "Coding agents join through the proxy by changing a base URL, for Claude Code, Codex, CodeBuddy, OpenCode, DeepSeek Harness and others", "Seven releases from 2.0.0 on 3 August to 2.0.3 on 26 October 2026, each in a dated Keep a Changelog file" ], "weaknesses": [ "The core's bearer gate is off by default, and the deploy notes say enabling it breaks the proxy's auth and session setup", "Data-plane deletes and chat-memory clears make no user-level check, trusting the bearer gate and `x-tdai-service-id`, per the API reference", "The proxy's rate-limit routes (GET, PUT, DELETE) and session admin routes have no authentication, per its own API reference", "No SECURITY.md on either branch, no security.txt and no disclosure route named for the project", "The npm OpenClaw plugin's postinstall rewrites the installed OpenClaw's files with sed, output silenced, unless skipped" ], "agentNotes": [ "Set `MEMORY_CORE_GATEWAY_API_KEY`, `KNOWLEDGE_SERVICE_KEY` and a non-default admin key before exposing ports 8420, 8424, 8096 or 8125 beyond the host", "In headless runs send `x-team-id`, `x-agent-id` and `x-task-id` headers to the proxy. Without all three it falls back to an interactive picker and skips memory", "Expect every proxied turn to be stored. The proxy records upstream messages and model replies to Memory Core, and injected memory lands in your system prompt", "Check `data.valid` on `/v3/meta/auth/verify` and `data.isError` on `/v3/tools/call`. Both can fail inside a success envelope", "Retry `/v3/session/add` only on 500, 503 or a network error. The API reference says it isn't idempotent and writes a new object each call" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56 } ], "editorialScores": { "ergonomics": 68, "maintenance": 70, "payments": 60, "reliability": 51, "schema": 61, "security": 30, "transparency": 61 }, "provenanceScore": 75, "checked": { "categories": { "ergonomics": "2026-10-30", "maintenance": "2026-10-30", "payments": "2026-10-30", "reliability": "2026-10-30", "schema": "2026-10-30", "security": "2026-10-30", "transparency": "2026-10-30" }, "last": "2026-10-30", "oldest": "2026-10-30", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/TencentCloud/TencentDB-Agent-Memory.git\ncd TencentDB-Agent-Memory/deploy/global-images\ncp .env.example .env\n./start-all.sh", "http": "export ANTHROPIC_BASE_URL=http://127.0.0.1:8096/claude-code/default\nexport ANTHROPIC_AUTH_TOKEN='\u003csk-mem- user key\u003e'\nclaude --model \u003cPROXY_UPSTREAM_MODEL\u003e" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/tencentdb-agent-memory" }, "sameCompany": [ "hy-memory", "hy3" ], "area": "agent-runtime", "provenance": { "legalEntity": "Tencent", "domain": "tencent.com", "domainRegistered": "1998-09-14", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/TencentCloud/TencentDB-Agent-Memory/blob/master/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-30", "notes": [ "LICENSE reads 'Copyright (C) 2026 Tencent. All rights reserved.' above the MIT text, and the README footer reads '© TencentDB Agent Memory Team'. No fuller legal name was found.", "The repository is in GitHub's TencentCloud organisation. The 2.0.0 changelog and main-branch links still use github.com/Tencent/TencentDB-Agent-Memory, and raw files answer at both paths. The project has no website of its own. RDAP at Verisign gives tencent.com a registration date of 14 September 1998.", "No terms or privacy policy applies beyond the MIT licence. Self-hosted, so no status page.", "security.txt returns 404 on www.tencent.com. www.tencentcloud.com answers with a bot check, so its security.txt wasn't read. Neither branch has SECURITY.md.", "github.com pages and api.github.com weren't read. github.com/robots.txt couldn't be fetched from our session, so the host was left alone, and api.github.com is closed by the session's proxy. Files were read from raw.githubusercontent.com, which has no robots.txt (404)." ], "score": 75 }, "requirements": { "card": "no", "freeTier": true, "minutes": 30, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tencentdb-agent-memory.json" }, "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "MCP project (reference servers)", "b": "Tencent Cloud", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT and Apache-2.0", "b": "MIT", "name": "Licence" }, { "a": "9", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-08-31", "b": "2026-10-26", "name": "Last release" }, { "a": "2021-09-08", "b": "no document linked", "name": "Terms last updated" }, { "a": "2023-03-15", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "90k stars, 136k npm/wk", "b": "2.2k npm/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "TencentDB Agent Memory scores 56 (C) on agent readiness against Memory (MCP reference server)'s 54.4 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.", "question": "Which is better for AI agents, Memory (MCP reference server) or TencentDB Agent Memory?" }, { "answer": "Memory (MCP reference server) needs no key. TencentDB Agent Memory needs an API key.", "question": "Do Memory (MCP reference server) and TencentDB Agent Memory need an API key?" }, { "answer": "Memory (MCP reference server) runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for TencentDB Agent Memory.", "question": "Can an agent call Memory (MCP reference server) and TencentDB Agent Memory without installing anything?" }, { "answer": "Yes. Memory (MCP reference server) is open source (MIT and Apache-2.0). TencentDB Agent Memory is open source (MIT).", "question": "Are Memory (MCP reference server) and TencentDB Agent Memory open source?" } ], "goodFor": [ { "aheadOn": [ "Transparency \u0026 trust, 74 against 68" ], "also": [ "No key needed to call it", "Runs on your own machine" ], "goodFor": "A single local agent that wants a small, inspectable store of facts about people and projects.", "slug": "memory-reference-server", "watchFor": "No pagination or limits. `read_graph` returns everything and `search_nodes` every match" }, { "aheadOn": [ "Maintenance \u0026 community, 70 against 43" ], "also": [ "Free to start without a card" ], "goodFor": "Small teams that run several coding agents on a host they control and want shared, permissioned memory, skills and code context injected through a proxy.", "slug": "tencentdb-agent-memory", "watchFor": "The core's bearer gate is off by default, and the deploy notes say enabling it breaks the proxy's auth and session setup" } ], "job": { "capability": "memory.store", "name": "Agent memory" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.json", "title": "Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-tencentdb-agent-memory.json", "title": "Amazon Bedrock AgentCore Memory vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-memory-reference-server.json", "title": "claude-mem vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-tencentdb-agent-memory.json", "title": "claude-mem vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.json", "title": "Cognee vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-tencentdb-agent-memory.json", "title": "Cognee vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/cognee-vs-tencentdb-agent-memory" }, { "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-tencentdb-agent-memory.json", "title": "Graphiti vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/graphiti-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.json", "title": "Hindsight vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-tencentdb-agent-memory.json", "title": "Hindsight vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/hindsight-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.json", "title": "Honcho vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory.json", "title": "Honcho vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server.json", "title": "Hy Memory vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-tencentdb-agent-memory.json", "title": "Hy Memory vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.json", "title": "LangMem vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-tencentdb-agent-memory.json", "title": "LangMem vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/langmem-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server.json", "title": "LocalGhost vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-tencentdb-agent-memory.json", "title": "LocalGhost vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/localghost-vs-tencentdb-agent-memory" }, { "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-tencentdb-agent-memory.json", "title": "Mem0 Platform + MCP vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/mem0-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-mempalace.json", "title": "Memory (MCP reference server) vs MemPalace", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-past-dev.json", "title": "Memory (MCP reference server) vs past.dev", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.json", "title": "Memory (MCP reference server) vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.json", "title": "Memory (MCP reference server) vs Tokenrip", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-zep.json", "title": "Memory (MCP reference server) vs Zep", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/mempalace-vs-tencentdb-agent-memory.json", "title": "MemPalace vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/mempalace-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/past-dev-vs-tencentdb-agent-memory.json", "title": "past.dev vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/past-dev-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory.json", "title": "Supermemory API + MCP vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-tokenrip.json", "title": "TencentDB Agent Memory vs Tokenrip", "url": "https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-zep.json", "title": "TencentDB Agent Memory vs Zep", "url": "https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory.json", "title": "AI Memory vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory.json", "title": "Context Mode Engine vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory.json", "title": "Graphicle vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory" } ], "scores": [ { "by": 1, "edge": "memory-reference-server", "key": "reliability", "memory-reference-server": 52, "name": "Reliability", "tencentdb-agent-memory": 51, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 1, "edge": "tencentdb-agent-memory", "key": "schema", "memory-reference-server": 60, "name": "Schema \u0026 documentation", "tencentdb-agent-memory": 61, "weight": 13 }, { "by": 1, "edge": "tencentdb-agent-memory", "key": "ergonomics", "memory-reference-server": 67, "name": "Agent ergonomics", "tencentdb-agent-memory": 68, "weight": 13 }, { "by": 2, "edge": "memory-reference-server", "key": "security", "memory-reference-server": 32, "name": "Security \u0026 auth", "tencentdb-agent-memory": 30, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "memory-reference-server": 60, "name": "Payments \u0026 pricing", "tencentdb-agent-memory": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 27, "edge": "tencentdb-agent-memory", "key": "maintenance", "memory-reference-server": 43, "name": "Maintenance \u0026 community", "tencentdb-agent-memory": 70, "weight": 7 }, { "by": 6, "edge": "memory-reference-server", "key": "transparency", "memory-reference-server": 74, "name": "Transparency \u0026 trust", "tencentdb-agent-memory": 68, "weight": 7 } ], "summary": "TencentDB Agent Memory scores 56 (C) on agent readiness against Memory (MCP reference server)'s 54.4 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust. Both do agent memory.", "tutorials": [], "verdicts": { "memory-reference-server": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.", "tencentdb-agent-memory": "A self-hosted team memory stack with layered recall, per-asset visibility and ACLs, documented HTTP APIs and frequent releases, 2.0.0 to 2.0.3 since August. The default deployment publishes its ports on all host interfaces with the core's bearer gate off, data-plane deletes trust a service-ID header, and the proxy's rate-limit and session admin routes have no authentication." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory", "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory.min.md" }, "markdown": "TencentDB Agent Memory scores 56 (C) on agent readiness against Memory (MCP reference server)'s 54.4 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust. Both do agent memory.\n\n- Memory (MCP reference server): grade C, 54.4/100, rank #816 of 1239. Markdown https://www.anchorterminal.com/tools/memory-reference-server.md · JSON https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json\n- TencentDB Agent Memory: grade C, 56/100, rank #767 of 1239. Markdown https://www.anchorterminal.com/tools/tencentdb-agent-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/tencentdb-agent-memory.json\n- Best database, file and memory tools for AI agents: https://www.anchorterminal.com/best/data/index.md\n- All 60 databases comparisons: https://www.anchorterminal.com/compare/data/index.md\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 188 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Memory (MCP reference server) (C)\n\nGood for: A single local agent that wants a small, inspectable store of facts about people and projects.\n\nAhead on:\n- Transparency \u0026 trust, 74 against 68\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n\nWatch for: No pagination or limits. `read_graph` returns everything and `search_nodes` every match\n\n### TencentDB Agent Memory (C)\n\nGood for: Small teams that run several coding agents on a host they control and want shared, permissioned memory, skills and code context injected through a proxy.\n\nAhead on:\n- Maintenance \u0026 community, 70 against 43\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The core's bearer gate is off by default, and the deploy notes say enabling it breaks the proxy's auth and session setup\n\n\n## Score by category\n\n| Category | Weight | Memory (MCP reference server) | TencentDB Agent Memory | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 52 | 51 | Memory (MCP reference server) +1 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 61 | TencentDB Agent Memory +1 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 68 | TencentDB Agent Memory +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 32 | 30 | Memory (MCP reference server) +2 |\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) | 43 | 70 | TencentDB Agent Memory +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 68 | Memory (MCP reference server) +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **54.4 · C** | **56 · C** | |\n\n## Facts side by side\n\n| Fact | Memory (MCP reference server) | TencentDB Agent Memory |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | MCP project (reference servers) | Tencent Cloud |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT and Apache-2.0 | MIT |\n| Tools exposed | 9 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-08-31 | 2026-10-26 |\n| Terms last updated | 2021-09-08 | no document linked |\n| Privacy policy last updated | 2023-03-15 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 90k stars, 136k npm/wk | 2.2k npm/wk |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**Memory (MCP reference server).** Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.\n\n**TencentDB Agent Memory.** A self-hosted team memory stack with layered recall, per-asset visibility and ACLs, documented HTTP APIs and frequent releases, 2.0.0 to 2.0.3 since August. The default deployment publishes its ports on all host interfaces with the core's bearer gate off, data-plane deletes trust a service-ID header, and the proxy's rate-limit and session admin routes have no authentication.\n\n## Before you call either\n\n### Memory (MCP reference server)\n\n1. Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache\n2. Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities\n3. Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31\n4. Create both entities before `create_relations`. A missing endpoint fails the whole batch\n5. Keep observations short and factual. They come back verbatim in every later read\n\n### TencentDB Agent Memory\n\n1. Set `MEMORY_CORE_GATEWAY_API_KEY`, `KNOWLEDGE_SERVICE_KEY` and a non-default admin key before exposing ports 8420, 8424, 8096 or 8125 beyond the host\n2. In headless runs send `x-team-id`, `x-agent-id` and `x-task-id` headers to the proxy. Without all three it falls back to an interactive picker and skips memory\n3. Expect every proxied turn to be stored. The proxy records upstream messages and model replies to Memory Core, and injected memory lands in your system prompt\n4. Check `data.valid` on `/v3/meta/auth/verify` and `data.isError` on `/v3/tools/call`. Both can fail inside a success envelope\n5. Retry `/v3/session/add` only on 500, 503 or a network error. The API reference says it isn't idempotent and writes a new object each call\n\n## Questions\n\n### Which is better for AI agents, Memory (MCP reference server) or TencentDB Agent Memory?\n\nTencentDB Agent Memory scores 56 (C) on agent readiness against Memory (MCP reference server)'s 54.4 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on transparency \u0026 trust.\n\n### Do Memory (MCP reference server) and TencentDB Agent Memory need an API key?\n\nMemory (MCP reference server) needs no key. TencentDB Agent Memory needs an API key.\n\n### Can an agent call Memory (MCP reference server) and TencentDB Agent Memory without installing anything?\n\nMemory (MCP reference server) runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for TencentDB Agent Memory.\n\n### Are Memory (MCP reference server) and TencentDB Agent Memory open source?\n\nYes. Memory (MCP reference server) is open source (MIT and Apache-2.0). TencentDB Agent Memory is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"memory-reference-server\", \"b\": \"tencentdb-agent-memory\"}`. From a terminal: `anchor compare memory-reference-server tencentdb-agent-memory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json and https://www.anchorterminal.com/api/v1/tools/tencentdb-agent-memory.json\n\n## Other comparisons with Memory (MCP reference server) or TencentDB Agent Memory\n\n- [Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.md)\n- [Amazon Bedrock AgentCore Memory vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-tencentdb-agent-memory.md)\n- [claude-mem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/claude-mem-vs-memory-reference-server.md)\n- [claude-mem vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/claude-mem-vs-tencentdb-agent-memory.md)\n- [Cognee vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.md)\n- [Cognee vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/cognee-vs-tencentdb-agent-memory.md)\n- [Graphiti vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.md)\n- [Graphiti vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/graphiti-vs-tencentdb-agent-memory.md)\n- [Hindsight vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.md)\n- [Hindsight vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/hindsight-vs-tencentdb-agent-memory.md)\n- [Honcho vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.md)\n- [Honcho vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/honcho-vs-tencentdb-agent-memory.md)\n- [Hy Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server.md)\n- [Hy Memory vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/hy-memory-vs-tencentdb-agent-memory.md)\n- [LangMem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)\n- [LangMem vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/langmem-vs-tencentdb-agent-memory.md)\n- [LocalGhost vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server.md)\n- [LocalGhost vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/localghost-vs-tencentdb-agent-memory.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 TencentDB Agent Memory](https://www.anchorterminal.com/compare/mem0-vs-tencentdb-agent-memory.md)\n- [Memory (MCP reference server) vs MemPalace](https://www.anchorterminal.com/compare/memory-reference-server-vs-mempalace.md)\n- [Memory (MCP reference server) vs past.dev](https://www.anchorterminal.com/compare/memory-reference-server-vs-past-dev.md)\n- [Memory (MCP reference server) vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.md)\n- [Memory (MCP reference server) vs Tokenrip](https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.md)\n- [Memory (MCP reference server) vs Zep](https://www.anchorterminal.com/compare/memory-reference-server-vs-zep.md)\n- [MemPalace vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/mempalace-vs-tencentdb-agent-memory.md)\n- [past.dev vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/past-dev-vs-tencentdb-agent-memory.md)\n- [Supermemory API + MCP vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory.md)\n- [TencentDB Agent Memory vs Tokenrip](https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-tokenrip.md)\n- [TencentDB Agent Memory vs Zep](https://www.anchorterminal.com/compare/tencentdb-agent-memory-vs-zep.md)\n- [AI Memory vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/ai-memory-vs-tencentdb-agent-memory.md)\n- [Context Mode Engine vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory.md)\n- [Graphicle vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/graphicle-vs-tencentdb-agent-memory.md)\n\n## Disclosure\n\n- MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-31", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "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": "Memory (MCP reference server) vs TencentDB Agent Memory", "url": "" } ], "description": "TencentDB Agent Memory scores 56 (C) to Memory's 54.4 (C) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Memory (MCP reference server) C 54.4", "TencentDB Agent Memory C 56", "scores" ], "h1": "Memory (MCP reference server) vs TencentDB Agent Memory", "image": "https://www.anchorterminal.com/assets/og/compare-memory-reference-server-vs-tencentdb-agent-memory.png", "path": "/compare/memory-reference-server-vs-tencentdb-agent-memory", "published": "2026-10-01", "section": "tools", "title": "Memory vs TencentDB Agent Memory for AI agents (2026)", "toc": null, "updated": "2026-10-30", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tencentdb-agent-memory" }, "tokens": { "markdown": 3150, "slim": 680 }, "version": 1 }