by agentic-box · MCP Server · ★ 742
Memora "You never truly know the value of a moment until it becomes a memory." Give your AI agents persistent memory An MCP memory layer for agents: structured storage, semantic retrieval, graph relations, and source-backed cross-session context. Absorb agent work into durable graph memory, then use memorydigest(topic) to retrieve relevant memories, TODOs/issues, related edges, and source IDs. Features · Preview · Install · Usage · Config · Live Graph · C
| Stars | 742 |
| Forks | 80 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.5437486288773/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-17 |
| Created | 2025-09-19 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~18k |
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memora is Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.. It is categorized as a MCP Server with 742 GitHub stars.
memora is primarily written in Python. It covers topics such as agent-memory, ai-agent, claude.
You can find installation instructions and usage details in the memora GitHub repository at github.com/agentic-box/memora. The project has 742 stars and 80 forks, indicating an active community.
memora is released under the MIT license, making it free to use and modify according to the license terms.