by 0xK3vin · MCP Server · ★ 145
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
MegaMemory Persistent project knowledge graph for coding agents. An MCP server that lets your coding agent build and query a graph of concepts, architecture, and decisions — so it remembers across sessions. The LLM is the indexer. No AST parsing. No static analysis. Your agent reads code, writes concepts in its own words, and queries them before future tasks. The graph stores concepts — features, modules, patterns, decisions — not code symbols. The Loop understand → work → upda
| Stars | 145 |
| Forks | 18 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 37.75/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-03 |
| Created | 2026-02-06 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~43k |
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MegaMemory is Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.. It is categorized as a MCP Server with 145 GitHub stars.
MegaMemory is primarily written in TypeScript. It covers topics such as agentic-coding, ai, ai-agents.
You can find installation instructions and usage details in the MegaMemory GitHub repository at github.com/0xK3vin/MegaMemory. The project has 145 stars and 18 forks, indicating an active community.
MegaMemory is released under the MIT license, making it free to use and modify according to the license terms.
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