This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryTessera adds active knowledge analysis with multi-angle search, contradiction detection, and confidence‑labeled results.
Full changelog
Insight Phase — From passive storage to active knowledge intelligence
Tessera now actively analyzes your memories, detects contradictions, and searches from multiple angles. Cross-project patterns adopted from Claudel, Fleming, Tether, and channeltalk-mcp.
New MCP Tools & HTTP Endpoints (+6 each)
| Feature | MCP Tool | HTTP Endpoint |
|---------|----------|---------------|
| Multi-angle Search | deep_search | POST /deep-search |
| Multi-angle Recall | deep_recall | POST /deep-recall |
| Contradiction Detection | detect_contradictions | GET /contradictions |
| Memory Confidence | memory_confidence | GET /memory-confidence |
| Memory Health | memory_health | GET /memory-health |
| Plugin Hooks | list_plugin_hooks | GET /hooks |
Search Verdict
Every search/recall result now includes a confidence label: confident match (≥45%), possible match (25-45%), low relevance (<25%).
By the numbers
- 53 MCP tools (+6)
- 34 HTTP endpoints (+6)
- 784 tests (+132)
- 6 new modules
Install / upgrade
pip install --upgrade project-tessera
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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.
Related context
Beta — feedback welcome: [email protected]