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- jev_recall: Python library that asks TypeSafe's Jev which memories matter (pointer mode: memories in state once, one noul per memory id) - bench/: 238-memory personal-assistant store, 18 requests, baselines (BM25, bge-large, bge-reranker, OpenAI embeddings, Claude Haiku/Sonnet/Opus) - web/: Next.js demo racing OpenAI embeddings, Claude Sonnet 5 and Jev Recall; replays recorded runs, runs live with visitor-supplied keys Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
31 lines
587 B
TOML
31 lines
587 B
TOML
[project]
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name = "jev-recall"
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version = "0.1.0"
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description = "Filter an AI assistant's memories down to the ones that matter, using TypeSafe's Jev model."
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readme = "README.md"
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license = "MIT"
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authors = [
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{ name = "Samarth Makhija" }
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]
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requires-python = ">=3.11"
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dependencies = [
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"httpx>=0.28.1",
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]
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[build-system]
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requires = ["uv_build>=0.8.12,<0.9.0"]
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build-backend = "uv_build"
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[dependency-groups]
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bench = [
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"anthropic>=1.7.0",
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"fastembed>=0.8.0",
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"numpy>=2.4.6",
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"openai>=3.16.2",
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"rank-bm25>=0.2.2",
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"rich>=15.0.0",
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]
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dev = [
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"pytest>=9.1.1",
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]
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