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growmos 0.1.5

growmos 0.1.5 Latest
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@codician-dev codician-dev released this 17 Aug 17:20
v0.1.5
20a006a

Discoverability release — growmos is now listed on the official MCP Registry as com.codician/growmos (DNS-verified Codician namespace) and installable from PyPI.

Changes since 0.1.3:

  • Truly hands-off in Claude Code: SessionStart hook injects the graph brief and pending work; Stop hook keeps the agent going until the graph is up to date (loop-safe). Protocol block tells other CLIs to run the loop unasked.
  • Extraction cap is a speed bump, not a wall: growmos next --force, growmos config max_docs_per_run 0, default 50/day. New growmos config command.
  • growmos integrate mcp writes .mcp.json / .cursor/mcp.json; README section on registering the MCP server in any client.
  • server.json + mcp-name: com.codician/growmos marker for the MCP Registry; publishing guide in docs/mcp-registry.md.
  • Docs: configuration reference (all keys, big projects, monorepos), community files, GitHub Pages site with live demos.
  • Fixes: remember --source <file> no longer alters that file's status; scans no longer churn timestamps on every commit.
pip install -U growmos
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growmos 0.1.3

growmos 0.1.3

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@codician-dev codician-dev released this 17 Aug 17:21
v0.1.3
20e2a24

First public release of growmos — a living knowledge graph that grows with your repo. Agent-native, zero dependencies, MIT, by Codician.

pip install growmos && cd your-repo && growmos init

Highlights

  • Task-packet loop for any agent CLI (Claude Code, Codex, Grok, Cursor, Gemini): extraction → resolution → hub profiles → gold set → review → "up to date". No API key needed.
  • Fully automatic in Claude Code: SessionStart injects the graph brief and pending work; Stop keeps the agent going until the graph is up to date. Git hooks queue changed docs after every commit.
  • growmos view — self-contained interactive explorer (force layout, search, filters, node cards with profile, edges, provenance).
  • Zero-dependency MCP stdio server (growmos mcp) with 12 tools; growmos integrate mcp writes the client config.
  • Grounded querying with edge citations, deterministic fact-checking (growmos check), evaluation harness (P/R/F1 vs gold, auto-extended alias map), the playbook's 10-item growmos doctor.
  • Headless mode (growmos ingest) for cron/CI via Anthropic / OpenAI-compatible / xAI APIs.
  • Exports: html, json, dot, mermaid, cypher, sql.

Methodology: METHODOLOGY.md · Docs: docs/ · PyPI: https://pypi.org/project/growmos/

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