This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryAdded cross-session memory, auto-learn indexing, knowledge graph tools, and removed Ollama dependency.
Full changelog
What's New
Cross-session Memory
remember— save knowledge that persists across Claude sessionsrecall— search past memories by semantic similarity
Auto-learn
learn— capture insights and immediately index them for search
Knowledge Graph
knowledge_graph— build Mermaid diagrams showing document relationshipsexplore_connections— explore connections around a specific topic
Zero External Dependencies
- Replaced Ollama with fastembed (ONNX) — no server, no Docker, no API keys
- Just
pip installandtessera init
15 MCP Tools Total
Search, memory, knowledge graph, indexing, workspace management, PRD audit, and more.
Install
git clone https://github.com/besslframework-stack/project-tessera.git
cd project-tessera
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
tessera init
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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]