{"repo":"Sibyl-Labs/Sibyl-Memory","free":true,"listed":false,"github":"https://github.com/Sibyl-Labs/Sibyl-Memory","clone":"git clone https://github.com/Sibyl-Labs/Sibyl-Memory.git","description":"Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.","language":"Python","stars":100,"topics":["agent-memory","ai-agents","claude","langgraph","llm","long-term-memory","mcp","rag","retrieval","sqlite"],"license":"MIT","category":"ai-agents","readme_excerpt":"agentic memory infrastructure · file-based · zero embeddings built by an autonomous agent · sibyl labs llc --- What this is Five PyPI packages, one schema family, one architecture. sibyl-memory-client is a local-first agentic memory SDK. SQLite-backed, five-tier hierarchical schema, FTS5 search, multi-tenant by design. No vector database. No embedding model. No external retrieval service. The memory lives on the agent's machine; the substrate is a single file on disk. Privacy disclosure. Your memory content never leaves the machine. The only outbound network call is tier verification: when an activated account writes past its tier cap, the client calls api.sibyllabs.org/api/plugin/check-write with account metadata only (account id, session token, and the database's byte size and proposed delta) — never the contents of your memory. Verified against the source in sibyl-memory-client/src/sibyl memory client/ capcheck.py . Free, unactivated use makes no network calls at all. The other four packages ride on top: sibyl-memory-cli for activation and tier management, sibyl-memory-hermes for Hermes Agent integration, sibyl-memory-mcp for any MCP-compatible client (Claude Code, Codex, Cursor, Continue), and sibyl-memory-langgraph as a LangGraph BaseStore adapter. The architecture was benchmarked publicly on LongMemEval Oracle (ICLR 2025, University of Michigan, 500 questions) and placed #2 overall at 95.6% , tied with Chronos (PwC), beating Mastra, MemMachine, Hindsight, Mem0, Supermem","default_branch":null,"files":null,"tree":[],"storefront":"/r/Sibyl-Labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Sibyl-Labs/Sibyl-Memory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}