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Skill

Pensieve

by kingkongshot2.5kShellUpdated 2026-05-08

tore your decisions and principles. Claude reads them to make better choices.

Claude CodeCursor

Pensieve is an AI agent skill that builds a self-growing, four-layer knowledge base for project context and decision history. It captures engineering principles, architectural decisions, exploration results, and workflows automatically as you develop, replacing static CLAUDE.md files with a semantic knowledge graph. The skill routes relevant context on-demand to minimize token usage while helping agents make consistent, project-aligned decisions. Compatible with Claude Code, Cursor, and other AI clients that support skills, it turns daily development into accumulated institutional memory.

Key Features

Four-layer knowledge model: maxims (universal principles), decisions (project trade-offs), knowledge (cached facts), and pipelines (reusable workflows)
Semantic knowledge graph with automatic linking across layers via based-on, leads-to, and related connections
Self-improve tool extracts insights from conversations and code diffs to accumulate experience automatically
On-demand context routing uses minimal tokens compared to full-text CLAUDE.md injection
Built-in Linus Torvalds engineering principles enforce code taste and design discipline from day one
Automatic knowledge graph sync after edits via Claude Code hooks or manual trigger
Project-level data isolation with global system code installation for multi-project workflows
Doctor tool validates knowledge structure and format; migrate tool handles legacy data upgrades

Use Cases

  • 01Validate AI-generated implementation plans against stored architectural conventions before execution
  • 02Locate module entry points and boundaries by reusing previous exploration results without global search
  • 03Accumulate code review lessons so standards improve over time instead of repeating mistakes
  • 04Analyze refactoring impact by following semantic links to discover affected workflows and dependencies
  • 05Commit code using project-specific conventions and decisions without re-asking style questions
  • 06Maintain consistent engineering philosophy across team members and long project timelines

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Pensieve — FAQ

What is Pensieve?+

Pensieve is an agent skill that creates a structured, self-growing knowledge base for AI assistants, storing project conventions, architectural decisions, exploration results, and workflows. It replaces static CLAUDE.md files with a semantic graph that agents query on-demand for minimal context usage.

How do I install Pensieve in Claude Code?+

Clone the skill globally to ~/.claude/skills/pensieve, run the hook installer, then initialize per-project data using the provided init script. Each project maintains independent knowledge while sharing the same system code.

Which AI clients support Pensieve?+

Pensieve works with Claude Code (with hooks for auto-sync), Cursor, and any AI agent client that supports skills. Installation paths differ by client, but the four-layer knowledge model and tools remain the same.

Does Pensieve require API keys or external services?+

No, Pensieve runs entirely locally using git, bash, and Python 3.8+. It stores all knowledge in your project's .pensieve directory without calling external APIs.

Is Pensieve free to use?+

Yes, Pensieve is open-source under the MIT license and completely free. You can use, modify, and distribute it without restrictions.

How does Pensieve accumulate knowledge automatically?+

The self-improve tool extracts insights from your conversations and code diffs, writing them to the appropriate knowledge layer. Claude Code hooks trigger graph sync after edits; other clients can manually run self-improve.

How do I install Pensieve?+

Open the source repository on GitHub and follow its README. Pensieve is a skill — MCP Agents Market links you directly to the official repo.

Is Pensieve free?+

Pensieve is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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