besslframework-stack/project-tessera

v1.5.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Developer Tools

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Summary

AI summary

NL Time Query adds bilingual natural language time expressions to recall and search.

Full changelog

Moat Phase — 5 strategic directions for competitive defensibility

What's new

NL Time Query — bilingual (EN+KO) natural language time expressions: "yesterday", "지난주", "3월 초" auto-detected in recall and search
Context Priming — session-start briefing with recent decisions, preferences, active topics, last session summary
Provenance Chain — track origin, session, and parent lineage of every memory
Project Spaces — isolate knowledge by project scope, recall filtered by project
Quiet Curation — background maintenance on MCP server startup: classify, tag, extract entities, resolve contradictions, consolidate, flag retention
Auto-Insights — trending topics, decision patterns, hidden connections, weekly digest
Product Landing Page — tessera-dev.vercel.app

Numbers

| Metric | Count |
|--------|-------|
| MCP tools | 58 |
| HTTP endpoints | 54 |
| CLI commands | 11 |
| Core modules | 69 |
| Lines of code | 31,000+ |
| Tests | 1,102 (all passing) |
| File types | 40+ |

Links

Website: https://tessera-dev.vercel.app
PyPI: https://pypi.org/project/project-tessera/
Full changelog: https://github.com/besslframework-stack/project-tessera/blob/main/CHANGELOG.md

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About besslframework-stack/project-tessera

Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.

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