tesserae 0.6.0

Typed LLM wiki graph pipeline for research and development projects

Tesserae

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A context engine that keeps a self-improving knowledge base of your project and compiles agent-ready context on demand.

Live demo · Docs · v0.3.0 release notes · v0.2.0 release notes · MCP setup · Obsidian export

Tesserae is a context engine. Point it at a directory containing markdown, source files, and (optionally) PDFs/Office docs/images, and it reconstructs a self-improving knowledge base — a typed knowledge graph — from your project, then hands agents the context they need. It runs on three pillars:

1. Session monitoring — watch live agent/work sessions and capture decisions, insights, and open questions as first-class graph nodes as they happen.
2. Autonomous, proactive knowledge ingestion — a supervised refresh daemon coalesces edits, re-compiles, and a self-improvement sidecar reinforces recurring findings and supersedes stale ones, so the base keeps getting better on its own.
3. On-demand context — the headline On-Demand Context Compiler assembles a tailored, cited context document for any query or seed node (Personalized PageRank expansion under a character budget), plus user-requested artifacts.

The typed graph, Obsidian vault, and static site are projections of that knowledge base. Tesserae also emits portable artifacts — a markdown projection, a Cognee-ready bundle, an agent harness, and an MCP server you can wire into Claude Code, Codex, or any MCP client. It is a build step and a live engine for project context, not a hosted service.

How it compares

A flat comparison against the four closest open-source alternatives. No softening:

Feature	Tesserae	Quartz	Logseq	Cognee	Foam
Static HTML output	yes	yes	partial (export)	no	partial (publish)
Built-in graph view	yes	yes	yes	yes (separate UI)	yes (VSCode)
Typed node schema	yes (41 types)	no	partial (tags)	yes	no
Concept extraction from sources	yes (LLM)	no	no	yes	no
Multimodal ingestion (PDF/image)	yes (via RAG-Anything)	no	partial (embeds)	yes	no
Code-graph ingestion	yes	no	no	partial	no
MCP server	yes	no	no	yes	no
On-demand cited context compiler	yes (PPR + budget)	no	no	no	no
Live session monitoring → graph	yes	no	no	no	no
Multi-project registry	yes	no	yes (graphs)	partial	no
Works without API key (OAuth)	yes	n/a	n/a	no	n/a
Multi-language i18n docs	yes	partial	yes	partial	partial
Deterministic byte-identical compile	yes	yes	n/a	no	n/a
Per-page ask widget (proposed B3)	not yet	no	no	no	no
Live edit	no	partial	yes	n/a	yes
Mobile-first reading	no	yes	yes	n/a	n/a
Real-time collaboration	no	no	yes (DB beta)	no	no

Tesserae picks compile-from-source over live editing. If you want to edit notes in a UI, use Logseq or Obsidian. If you want a build tool for your knowledge graph, this is the project.

When to use this (and when not to)

Use it if:

• You want a durable, inspectable knowledge graph over a single project's text-heavy sources (docs, code, research notes).
• You want a local MCP server that answers questions grounded in your own files.
• You want to feed a clean bundle into Cognee, or a markdown projection into Obsidian, without writing the glue yourself.

Skip it if:

• You only need a vector search over a small directory — ripgrep plus an embedding library is simpler.
• You want a hosted wiki with editing UI. The static site here is read-only.
• You need accurate semantic embeddings out of the box. The default RAG-Anything embedding is deterministic (see Limitations).
• You expect a turnkey "ask anything" agent. This builds the substrate; you still wire it into your agent of choice.

Status

This is an evolving research/agent-tooling project (currently v0.5.0). Known limitations:

• Compile time scales roughly linearly with corpus size. First-run compiles over large markdown trees (thousands of files) can take minutes.
• Native retrieval uses a real semantic lane by default: install the semantic extra (pip install "tesserae[semantic]") to pull in model2vec (torch-free static vectors, ~8 MB potion-base-8M on first use). Without it, hybrid/embedding retrieval degrades to a non-semantic hash-bucket stub and emits a loud warning. For the Cognee/RAG-Anything backends the embedding provider is still deterministic by default; switch to ollama (e.g. qwen3-embedding:0.6b) or an OpenAI-compatible endpoint for better recall — see docs/integrations/rag-anything.md.
• Incremental compile (--changed-only) is shipped but still experimental and OFF by default; full recompiles remain the supported path.
• Vision support for RAG-Anything (image content extraction) is not yet wired end-to-end. Image files are parsed structurally but not described.
• Cognee runtime cognify is best-effort: missing providers, paid API keys, or network failures are logged and skipped rather than aborting the build.
• The MCP server exposes a stable set of tools, but the underlying graph schema is still subject to additions.

Quickstart

Requires Python 3.9+. RAG-Anything needs Python 3.10+ if you enable it.

pip install tesserae          # add [semantic] for real embeddings: pip install "tesserae[semantic]"

cd /path/to/my-project
tesserae init --yes
tesserae compile
tesserae ask "Where is Mermaid rendering implemented?"

# On-demand context: compile a tailored, cited context doc for a query.
tesserae context "How does the parser handle arXiv IDs?" --budget 32000 -o context.md

tesserae serve --port 8765

The setup wizard detects common sources (README.md, docs/, src/, data/) and writes .tesserae/config.json. LLM-calling features default to the codex CLI over OAuth, so no API keys are required for the common path. See docs/quickstart.md and docs/installation.md for the longer version.

[!tip] tesserae: command not found after install? pip dropped the binary somewhere your shell doesn't search. Most reliable fix on any platform is pipx — it puts CLI tools in isolated venvs and auto-manages your PATH:

# macOS — `brew install pipx`
# Ubuntu / Debian — `sudo apt install pipx`
# other — `python3 -m pip install --user pipx`
pipx ensurepath          # adds ~/.local/bin to PATH; open a new shell after
pipx install tesserae

Ubuntu 23.04+ gotchas you'll likely hit with plain pip install tesserae:

Error	Cause	Fix
error: externally-managed-environment	PEP 668 — system Python is locked	Use pipx (above), or pip install --user --break-system-packages tesserae (ugly), or a venv
tesserae: command not found after pip install --user …	~/.local/bin isn't on PATH	echo 'export PATH=$HOME/.local/bin:$PATH' >> ~/.bashrc && source ~/.bashrc
ModuleNotFoundError: pydantic on Ubuntu 20.04	system python3 is 3.8, tesserae needs ≥3.9	sudo apt install python3.11 python3.11-venv then python3.11 -m pip install --user tesserae

Walkthrough

Each step in the Quickstart, recorded against the bundled 135-doc demo corpus (examples/demo-corpus/data/research/). Rebuild any of these GIFs with vhs docs/screencasts/<name>.tape — the tape files document what they recorded and the workspace they assume.

1. Setup — point at a research directory, get a project wiki scaffold

2. Compile + build site — deterministic, no LLM calls

3. Ask — query the compiled wiki from the CLI

What you get after compile

.tesserae/
  config.json
  graph.json              # typed nodes/edges
  manifest.json           # source fingerprints (used by --changed-only)
  sqlite.db               # queryable graph store
  temporal_facts.jsonl
  graphiti_episodes.jsonl
  report.md
  markdown_projection/    # human-readable wiki pages
  obsidian_vault/         # ready to drop into Obsidian
  agent_harness/          # per-agent config (Claude/Codex/Gemini/Cursor/...)
  harness_sessions/       # imported Claude/Codex session memory
  cognee_bundle/          # JSONL ready for Cognee ingest
  site/                   # static site built by build-site
  external/               # companion-tool outputs (UA, RAG-Anything)

ls .tesserae/ after compile to verify what landed.

CLI overview

Daily-use commands. Run tesserae <subcommand> --help for full flags.

Command	What it does
tesserae init	Interactive wizard. Writes .tesserae/config.json. Pass --yes for a non-interactive run that accepts detected defaults (all optional integrations OFF), or --bare to skip the wizard and write a minimal workspace.
tesserae compile	Reads configured sources, runs companion refreshes, writes all artifacts under .tesserae/. --changed-only enables the experimental incremental rebuild (OFF by default). compile <paths> does an ad-hoc ingest of extra markdown paths.
tesserae context "<query>"	On-Demand Context Compiler. Compiles a tailored, cited context doc for a query (or explicit --seeds) via Personalized PageRank expansion (--depth, default 2) under a --budget (default 32000 chars; <=0 = uncapped). --synthesize adds an LLM summary; -o writes to a file.
tesserae engine	Runs the supervised refresh daemon: watches sources, coalesces edit bursts (--debounce), and auto-recompiles. --once runs a single deterministic drain cycle.
tesserae refresh	One-shot in-process pipeline: import new sessions, compile, sync vault.
tesserae export site	Builds the static frontend at .tesserae/site/. --deploy publishes; --watch rebuilds on change.
tesserae serve --port 8765	Serves the static site locally (auto-builds if missing) and exposes /api/ask so every detail page's inline ask widget can route questions to ask_project. On any other host (file://, GitHub Pages, S3) the widget gracefully collapses to a one-line static footer.
tesserae integrations refresh understand-anything	Runs Tesserae's managed Understand Anything refresh wrapper.
tesserae integrations refresh raganything --parser mineru	Re-parses non-code sources (PDFs, Office, images) via RAG-Anything.
tesserae ask "<question>"	Asks the configured backend (auto/raganything/cognee/wiki).
tesserae projects mcp-config	Prints an MCP server config snippet you can paste into Claude Code, Codex, or Hermes.
tesserae projects register <path> --name <alias>	Registers a project in the shared registry.
tesserae projects list / tesserae projects activate <name>	Lists registered projects; sets the active one.
tesserae ask "<question>" [--wiki <name>]	Top-level ask that resolves through the registry.

Integrations

All integrations are opt-in. None are required to use Tesserae on a plain markdown/code project.

• Claude Code plugin — slash commands (/tesserae:compile, /tesserae:ask "<question>", /tesserae:refresh, /tesserae:status, …), four hooks (SessionStart status / SessionEnd auto-compile / opt-in PostToolUse incremental recompile / PreToolUse large-graph confirmation gate), a using-tesserae skill, and MCP auto-registration — all in one /plugin install. See docs/integrations/claude-code-plugin.md.
• Session graph (Pillar 1) — turns your Claude Code / Codex conversations about the project into first-class graph nodes (Insight / Decision / Question / TODO / Hypothesis / Takeaway), linked back to the docs that came up. Run tesserae sessions discover --import once, then every tesserae compile ingests new sessions; tesserae engine watches live and folds them in continuously. Structural pass is free; LLM pass auto-runs when the claude CLI is signed in — no API key required. See docs/integrations/sessions.md.
• Understand Anything — a separate project (Lum1104/Understand-Anything) that produces a code knowledge graph at .understand-anything/knowledge-graph.json. Enable with --with-understand-anything. Tesserae stores a managed refresh wrapper so compile keeps the graph current. See docs/integrations/understand-anything.md.
• RAG-Anything — multimodal ingestion (HKUDS/RAG-Anything) for PDFs, Office documents, and images via MinerU/Docling/PaddleOCR. Enable with --with-raganything. Also acts as a runtime question backend (LightRAG). Requires Python 3.10+. See docs/integrations/rag-anything.md.
• Cognee — graph+vector memory backend. Enable with --run-cognee --install-cognee. The normal compile always writes .tesserae/cognee_bundle/; the runtime cognify pass is best-effort and only runs when explicitly enabled.

Multi-project registry

A persistent registry at ~/.tesserae/registry.json lets the top-level ask CLI and the MCP server resolve project names to roots without --project on every call.

tesserae projects register /path/to/my-project --name myproj
tesserae projects activate myproj
tesserae ask "Where is the parser entry point?"

The same registry is read by the MCP server, so MCP clients can call list_projects, activate_project, and ask against any registered wiki.

Cross-vault linking (wiki:// URI scheme)

Source markdown in one registered project can reference a node in another registered project via a stable URI:

wiki://<alias>/<kind>/<slug>

Examples:

• wiki://research/concepts/rlhf — the RLHF concept in the research vault.
• wiki://other-vault/papers/arxiv-2510-12323 — a paper in other-vault.
• [See RLHF in research](wiki://research/concepts/rlhf) — works inside a Markdown link too.

At compile time these URIs become bridge nodes in the graph view (group external, violet) with a "Cross-project bridges" toggle in the toolbar so you can hide them. Unregistered aliases render as tombstones; registered-but-not-yet-built links render as placeholders.

Querying across vaults (--scope all-registered)

tesserae ask and the MCP ask tool accept a --scope flag:

# Default — just the active/named project.
tesserae ask "..."

# Fan out across every registered project; aggregate envelopes by alias.
tesserae ask "..." --scope all-registered

# Restrict to a hand-picked subset of registered aliases.
tesserae ask "..." --scope all-registered --scope-aliases research work

The aggregated JSON shape is {"scope": "all-registered", "question": ..., "by_project": {"<alias>": <envelope>, ...}}. Per-project failures are captured as {"error": "..."} entries; a single failing project never aborts the fan-out.

MCP

tesserae projects mcp-config prints a server entry you can paste into Claude Code, Codex, or any MCP-aware client. The server exposes tools including schema, graph_summary, search_nodes, node_context, search_facts, timeline, wiki_page, raw_source, lint_report, ask, and embedding_status. The v0.5.0 headline is compile_context — it returns a tailored, cited context doc for a query or seed nodes (deterministic unless synthesize=true), backed by graph_ppr (Personalized PageRank over the typed graph). Session-memory and self-improvement tools round it out: list_sessions, find_session_findings, find_code_symbol_mentions, list_communities, and fresh_insights (session findings ranked by Ebbinghaus-style decay, superseded near-duplicates filtered out). The registry tools list_projects / register_project / activate_project / unregister_project resolve project names through the same registry as the CLI.

Authentication and LLM providers

The common path uses no API keys:

• Codex CLI (default) over OAuth. --raganything-llm-provider codex is the default; Cognee codex_cognify mode patches Cognee's LLM client to the Codex CLI.
• Claude Code CLI over OAuth. Set --raganything-llm-provider claude for RAG-Anything runtime queries. Multi-account setups use --raganything-claude-config-dir ~/.claude (Tesserae exports CLAUDE_CONFIG_DIR before each call).
• Embeddings. Native hybrid retrieval uses a real, offline, torch-free semantic lane via the semantic extra (model2vec / potion-base-8M). For the Cognee backend, embeddings default to a deterministic in-process provider; switch to Ollama with --cognee-embedding-provider ollama --cognee-ollama-embedding-model qwen3-embedding:0.6b, or wire OpenAI-compatible endpoints — both documented in the integration pages.

If you set ANTHROPIC_API_KEY or OPENAI_API_KEY they will be picked up by the corresponding paths, but they are not required.

Project layout

tesserae/        # the package (CLI, compiler, MCP server, adapters)
docs/            # English docs + docs/i18n/ for the six other languages
ontology/        # node/edge schemas the compiler validates against
prompts/         # extraction and synthesis prompts
scripts/         # maintenance scripts
tests/           # pytest suite
evals/           # graph quality eval harnesses
data/            # example research notes used by self-dogfooding

Localized docs

한국어 · 中文 · 日本語 · Русский · Español · Français · Deutsch

Long-form docs are mirrored under docs/i18n/ and docs/i18n/integrations/.

License

MIT. See LICENSE.