{"id":"vestige","name":"Vestige","homepage":"https://github.com/samvallad33/vestige","repo_url":"https://github.com/samvallad33/vestige","category":"ai-memory","subcategories":["cognitive-memory","spaced-repetition","knowledge-graph","mcp"],"tags":["memory","fsrs","spaced-repetition","knowledge-graph","rust","vector-search","mcp","local","open-source","sqlite"],"what_it_does":"Vestige is a local-first cognitive memory system for AI agents that implements neuroscience-inspired processes including FSRS-6 spaced repetition, prediction error gating, spreading activation, and memory consolidation (dreaming) — going beyond simple RAG to create a genuinely evolving memory that forgets less-relevant information over time.","use_cases":["Giving Claude or other AI agents persistent cross-session memory with intelligent forgetting curves rather than unlimited storage","Building agents that remember project decisions, user preferences, and codebase patterns with deduplication and retroactive importance scoring","Visualizing an AI agent's knowledge graph in a real-time 3D dashboard for debugging or exploration"],"not_for":["Use cases requiring cloud sync or multi-device memory sharing (fully local/offline only)","Lightweight deployments where the ~130MB embedding model download is prohibitive","Teams who need a simple key-value store rather than a cognitively sophisticated memory system"],"best_when":"You want an AI agent with rich, persistent memory that naturally decays less-important information, deduplicates overlapping knowledge, and surfaces contextually relevant memories — especially for long-running personal or project assistants.","avoid_when":"You need cloud-hosted or multi-user shared memory, or your use case is simple enough that a flat context window suffices.","alternatives":["mem0","zep","letta","chromadb-mcp"],"af_score":83.7,"security_score":80.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"latest","last_evaluated":"2026-03-01T09:50:06.359905+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}