Developer Tools●●●Banger
MemoryGate – Open-source persistent memory for AI agents via MCP
MCP-native persistent memory solves cross-platform agent amnesia without context hacks.
Solve My ProblemBig BrainSlick
pstryder
104mo ago
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GitHub Repository
Three-layer memory architecture for AI coding agents. Persistent facts, cross-session task tracking, and ephemeral execution — so agents stop forgetting.
2 starsJavaScript
Mneme–Persistent memory for AI agents without vector search or RAG
by xqli·Feb 26, 2026·1 point·4 comments
AI Analysis
●●SolidBig BrainShip It
Structured memory layers for agents—but vector search already solves this problem.
Strengths
- •Three-tier separation (long/mid/short-term) is genuinely clever architecture for agent persistence
- •Dependency-aware task tracking avoids re-running solved work across sessions
- •No RAG required; pure structured storage means predictable, auditable memory
Weaknesses
- •Competes against established RAG/vector solutions (Pinecone, Weaviate) without clear advantage
- •Documentation is thin; unclear how this outperforms prompt engineering + session logs
Category
Target Audience
AI agent builders, OpenCode users, autonomous coding systems
Similar To
LangChain · Mem0
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