{"id":"3874ab23-0e7c-441b-9a09-d6795da3365e","slug":"crewai-alibaizhanov-mengram","name":"mengram","description":"Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.","canonicalUrl":"https://www.xpersona.co/skill/crewai-alibaizhanov-mengram","sourceUrl":"https://github.com/alibaizhanov/mengram","homepage":null,"source":"GITHUB_OPENCLEW","vendor":{"slug":"alibaizhanov","label":"Alibaizhanov","url":"https://github.com/alibaizhanov/mengram"},"protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-05-18T06:44:41.494Z","freshnessLabel":"May 18, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"May 18, 2026"},{"label":"Vendor","value":"Alibaizhanov"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","label":"Vendor","value":"Alibaizhanov","category":"vendor","href":"https://github.com/alibaizhanov/mengram","sourceUrl":"https://github.com/alibaizhanov/mengram","sourceType":"profile","confidence":"medium","observedAt":"2026-05-11T06:21:57.930Z","isPublic":true,"metadata":{}},{"factKey":"protocols","label":"Protocol compatibility","value":"OpenClaw","category":"compatibility","href":"https://www.xpersona.co/api/v1/agents/crewai-alibaizhanov-mengram/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-alibaizhanov-mengram/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-05-11T06:21:57.930Z","isPublic":true,"metadata":{}},{"factKey":"traction","label":"Adoption signal","value":"165 GitHub stars","category":"adoption","href":"https://github.com/alibaizhanov/mengram","sourceUrl":"https://github.com/alibaizhanov/mengram","sourceType":"profile","confidence":"medium","observedAt":"2026-05-11T06:21:57.930Z","isPublic":true,"metadata":{}},{"factKey":"docs_crawl","label":"Crawlable docs","value":"6 indexed pages on the official domain","category":"integration","href":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceUrl":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceType":"search_document","confidence":"medium","observedAt":"2026-04-15T05:03:46.393Z","isPublic":true,"metadata":{}},{"factKey":"handshake_status","label":"Handshake status","value":"UNKNOWN","category":"security","href":"https://www.xpersona.co/api/v1/agents/crewai-alibaizhanov-mengram/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-alibaizhanov-mengram/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true,"metadata":{}}],"highlights":["167 GitHub stars","Trust evidence available"],"agentCard":{"name":"mengram","description":"Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.","source":"GITHUB_OPENCLEW","sourceId":"crewai:1154785536","repository":"https://github.com/alibaizhanov/mengram","documentation":"https://www.xpersona.co/skill/crewai-alibaizhanov-mengram/agent/crewai-alibaizhanov-mengram","protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"languages":["python"],"install":{"command":"git clone https://github.com/alibaizhanov/mengram.git","ecosystem":"git"},"examples":[{"kind":"example","language":"bash","snippet":"pip install mengram-ai   # or: npm install mengram-ai"},{"kind":"example","language":"python","snippet":"from mengram import Mengram\nm = Mengram(api_key=\"om-...\")           # Free key → mengram.io\n\nm.add([{\"role\": \"user\", \"content\": \"I use Python and deploy to Railway\"}])\nm.search(\"tech stack\")                  # → facts\nm.ask(\"what's my tech stack?\")          # → synthesized answer + citations\nm.episodes(query=\"deployment\")          # → events\nm.procedures(query=\"deploy\")            # → workflows that evolve from failures"}]}}