ContextAtlas vs Zerikai Memory
Side-by-side comparison of two Ai projects on AiList.
Tagline
ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.
Workspace-isolated persistent memory server combining ChromaDB vector search and tree-sitter code indexing, with cost-optimized routing between local Ollama and DeepSeek cloud synthesis.
GitHub Stars
25
29
Stars This Week
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Language
TypeScript
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License
MIT
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Built With
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Views
45
59
Clicks
2
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