nodestone 0.2.1

Project cognition and continuity system — your project remembers itself

nodestone

Project memory for AI sessions. nodestone remembers your project across sessions — decisions, tasks, drift, and context — so an LLM doesn't have to re-learn it from scratch every time. A massiron.com product.

It's an event-sourced cognition store: everything lives on disk and comes back instantly, for ~0 tokens. Pair it with any AI tool (Claude Code, Cursor, OpenCode) over MCP, and your assistant resumes work where it left off.

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Install

pip install nodestone

Start in 30 seconds

cd your-project
nodestone init                 # create the cognition store (.nodestone/)
nodestone status               # where things stand
nodestone ask "what's next?"   # ask the project, don't re-read it

Record what matters as you go:

nodestone decide "Use SQLite for the event store" -r "zero-config, embedded"
nodestone task "Wire up the MCP stdio server"
nodestone context compressed   # ~500-token AI-ready snapshot for any LLM

Connect it to your AI (MCP)

nodestone speaks MCP over stdio by default — the transport Claude Code, Cursor, and OpenCode launch directly. One command registers it:

claude mcp add nodestone -- nodestone mcp

Restart Claude Code once. Now your assistant can call nodestone natively: restore_context() to resume a project, record_decision(...) to remember a choice, check_drift() to catch scope creep, fingerprint_handoff() to hand the project to another agent.

Prefer HTTP (browser dashboards, LAN)? nodestone mcp --http --host 0.0.0.0 --port 18766.

Self-introduce to every AI editor

nodestone inject all

Writes a short nodestone block into CLAUDE.md, AGENTS.md, .cursorrules, and friends, and registers the MCP server in ~/.claude.json and opencode.json. Idempotent — re-run any time. Remove with nodestone inject all --remove.

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The massiron family

nodestone is one of four local tools that compose:

• nodestone — project context memory across sessions (this tool)
• atlas — deterministic code intelligence (call graph, risk, dead code), 0 LLM tokens
• deepstrain — autonomous engineering agent, a cheap fast executor
• adauto — developer-marketing automation, ethics-filtered + human-approved

Each works standalone and introduces the others when installed.