No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Sibyl-Labs · MCP Server · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Sibyl-Memory safe to install? View the security audit →
agentic memory infrastructure · file-based · zero embeddings built by an autonomous agent · sibyl labs llc What this is Four PyPI packages, one schema family, one architecture. is a local-first agentic memory SDK. SQLite-backed, five-tier hierarchical schema, FTS5 search, multi-ten
| Stars | 103 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6910747055393/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-22 |
| Created | 2026-05-20 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~15k |
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Sibyl-Memory is 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.. It is categorized as a MCP Server with 103 GitHub stars.
Sibyl-Memory is primarily written in Python. It covers topics such as agent-memory, ai-agents, claude.
You can find installation instructions and usage details in the Sibyl-Memory GitHub repository at github.com/Sibyl-Labs/Sibyl-Memory. The project has 103 stars and 11 forks, indicating an active community.
Sibyl-Memory is released under the MIT license, making it free to use and modify according to the license terms.
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