{"data":{"slug":"alibaizhanov-mengram","name":"mengram","tagline":"Human-like memory for AI agents","github_url":"https://github.com/alibaizhanov/mengram","owner":"alibaizhanov","repo":"mengram","owner_avatar_url":"https://avatars.githubusercontent.com/u/32927647?v=4","primary_language":"Python","stars":196,"forks":34,"topics":["agent-memory","ai-agents","ai-memory","claude-desktop","cognitive-architecture","cohere","cursor-ai","episodic-memory","knowledge-graph","letta-alternative","llm-memory","mcp-server","mem0-alternative","model-context-protocol","multilingual-embeddings","pgvector","procedural-memory","python","rag","semantic-search"],"archived":false,"github_pushed_at":"2026-09-16T14:24:46+00:00","maintenance_label":"Very active","stars_delta_30d":12,"url":"https://www.graphcanon.com/tools/alibaizhanov-mengram","markdown_url":"https://www.graphcanon.com/tools/alibaizhanov-mengram.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alibaizhanov-mengram","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alibaizhanov-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.","homepage_url":"https://mengram.io","license":"Apache-2.0","open_issues":25,"watchers":4,"ai_summary":"Provides semantic, episodic, and procedural memory capabilities for AI agents, enabling learning from experiences and failures. Offers free API, Python and JS SDKs, and integrations with LangChain, CrewAI, and OpenClaw.","readme_excerpt":"## Install in one prompt (any AI tool)\n\nPaste this into Claude Desktop, Cursor, Codex, Claude Code, or Windsurf — the agent reads our [setup guide](https://mengram.io/agent-install.txt), installs the SDK, configures the MCP server, and verifies the round-trip end-to-end. **No terminal context-switching.**\n\n```\nInstall Mengram for me. Fetch the canonical install guide at\nhttps://mengram.io/agent-install.txt and follow it precisely.\nMy email is YOUR_EMAIL_HERE.\n```\n\nWorks in any agent with shell + file-edit + web-fetch tools. Prefer doing it manually? See the [plain-text guide](https://mengram.io/agent-install.txt) — it's structured for human eyes too.\n\n---\n\n---\n\n# 2. Install the plugin (hooks + MCP server + skill)\nclaude plugin marketplace add alibaizhanov/mengram\nclaude plugin install mengram@mengram\n\n---\n\n#    and Railway. Recently debugged pgvector deployment. Prefers direct\n\n---\n\n## License\n\nApache 2.0 — free for commercial use.\n\n---\n\n<div align=\"center\">\n\n**[Get your free API key](https://mengram.io/#signup)** · Built by **[Ali Baizhanov](https://github.com/alibaizhanov)** · **[mengram.io](https://mengram.io)**\n\n</div>","github_created_at":"2026-02-10T19:20:33+00:00","created_at":"2026-07-11T23:17:05.273774+00:00","updated_at":"2026-09-20T04:30:56.684493+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"}],"tags":[{"slug":"agent-memory","name":"agent-memory"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"ai-memory","name":"ai-memory"},{"slug":"claude-desktop","name":"claude-desktop"},{"slug":"cognitive-architecture","name":"cognitive-architecture"},{"slug":"cohere","name":"cohere"},{"slug":"cursor-ai","name":"cursor-ai"},{"slug":"episodic-memory","name":"episodic-memory"}],"trust":{"provenance":{"is_fork":false,"github_id":1154785536,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:27:30.224Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":1,"last_release_at":"2026-09-14T09:15:53Z","stars_delta_30d":12,"open_issues_delta_30d":-2},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":23,"high_count":0,"last_scan_at":"2026-09-18T08:27:32.419Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-18T08:27:29.091Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:27:29.091Z"},"deploy":{"source":"dockerfile:docker-compose.yml","self_host":true,"observed_at":"2026-09-18T08:27:29.091Z","managed_saas":false},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:27:29.091Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:27:29.091Z"},"has_docker":{"value":true,"source":"dockerfile:docker-compose.yml","observed_at":"2026-09-18T08:27:29.091Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-18T08:27:29.091Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.","If your project requires integration with LangChain, CrewAI, or OpenClaw, mengram provides seamless integration options.","For developers who prefer a one-prompt installation method that works across various AI tools, mengram's setup guide streamlines the process.","When working with multilingual embeddings and semantic search, mengram's capabilities can enhance the performance of your AI agents."],"when_not_to_use":["If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary.","If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server.","For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial.","If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs."],"source":"enrich:decision_facts","observed_at":"2026-09-18T09:07:49.636Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a"}]}}