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Tessera

Make Claude Desktop remember your entire workspace.

You have hundreds of documents — PRDs, meeting notes, decision logs, session records. Claude Desktop can read files you attach, but it can't search across your whole workspace. Tessera bridges that gap.

It indexes your local documents into a vector store and connects to Claude Desktop via MCP. When you ask a question, Claude automatically searches your files and answers with context — and remembers across sessions.

Why Tessera?

  • Zero external dependencies — No Ollama, no Docker, no API keys. Just pip install and go.

  • Cross-session memory — Claude remembers your decisions, preferences, and context between conversations.

  • Knowledge graph — Visualize how your documents connect to each other.

  • 100% local — Everything stays on your machine. Nothing leaves your laptop.

How it works

  1. You point Tessera at your document folders (Markdown, CSV, session logs)

  2. Tessera indexes them locally using fastembed (ONNX) + LanceDB

  3. Claude Desktop searches them automatically via MCP tools

  4. Only changed files are re-indexed on each sync

Get started

Install + Setup

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

tessera init walks you through everything:

  • Picks your document root directory

  • Scans for folders with documents

  • Lets you choose which to index

  • Downloads the embedding model (~220MB, once)

  • Generates workspace.yaml automatically

  • Shows you the Claude Desktop config snippet

  • Offers to index immediately

Connect to Claude Desktop

tessera init prints the config snippet. Add it to your claude_desktop_config.json:

{
  "mcpServers": {
    "tessera": {
      "command": "/path/to/project-tessera/.venv/bin/python",
      "args": ["/path/to/project-tessera/mcp_server.py"]
    }
  }
}

Restart Claude Desktop. You'll see "tessera" in the MCP integrations.

What Claude can do with Tessera

Tool

What it does

Search

search_documents

Semantic + keyword hybrid search across all your docs

read_file

Read any file's full content

list_sources

See what's indexed

Memory

remember

Save knowledge that persists across sessions

recall

Search past memories from previous conversations

learn

Auto-learn: save and immediately index new knowledge

Knowledge Graph

knowledge_graph

Build a Mermaid diagram of document relationships

explore_connections

Show connections around a specific topic

Indexing

ingest_documents

Index your documents (first-time setup or full rebuild)

sync_documents

Incremental sync — only re-index changed files

Workspace

project_status

See what's changed recently in each project

extract_decisions

Find past decisions from logs

audit_prd

Check PRD quality (section coverage, versioning)

organize_files

Move, rename, archive files

suggest_cleanup

Detect backup files, empty dirs, misplaced files

CLI commands

tessera init                    # Interactive setup
tessera ingest                  # Index all configured sources
tessera ingest --path ./docs    # Index a specific directory
tessera sync                    # Re-index only changed files
tessera status                  # Show all projects
tessera status my_project       # Show one project's status

Architecture

Your documents (Markdown, CSV)
        |
   Parse & chunk (~800 chars)
        |
   Embed locally (fastembed/ONNX)
        |
   Store in LanceDB (local vector DB)
        |
   Expose via MCP server
        |
   Claude Desktop searches automatically

Configuration

After tessera init, your workspace.yaml looks like:

workspace:
  root: /Users/you/Documents
  name: my-workspace

sources:
  - path: project-alpha
    type: document
    project: project_alpha

projects:
  project_alpha:
    display_name: Project Alpha
    root: project-alpha

Edit it anytime to add/remove sources. Run tessera sync after changes.

License

AGPL-3.0 — see LICENSE.

For commercial licensing: bessl.framework@gmail.com

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/besslframework-stack/project-tessera'

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