potpie
Give AI coding agents lasting memory of your codebase and decisions
All Skills in This Repository (10)
Pure Emerald Level Indicatorspotpie-debug-memory
Retrieve historical occurrences, service topology, and change timelines for debugging via Potpie CLI.
potpie-cli
Execute and explain Potpie CLI commands for troubleshooting and configuration.
potpie-repo-baseline
Analyze a local repository to capture its purpose, features, services, and dependencies.
potpie-infra-architecture
Analyze project environments, deployments, service dependencies, and incidents with potpie CLI and graph capabilities.
potpie-change-timeline
Track and visualize recent and historical project changes, regressions, and merged pull requests.
potpie-source-ingestion
Ingest Git repositories into Potpie's context graph with identity resolution and evidence verification.
potpie-graph
Access and manipulate project memory graphs with semantic operations.
potpie-project-preferences
Record and query project coding preferences via potpie graph commands.
backfill-enumerate-drain
Automate repository history backfilling with an enumerate-then-drain loop.
graph-mutation-plan
Compose graph mutation plans with stable entity_key patterns and canonical vocabulary.
Frequently Asked Questions
FAQPage SchemaHow to install Potpie?โผ
Run `npx skills add potpie-ai/potpie --all -g -y` in your terminal to install all skills in this suite globally.
What problem does Potpie solve for AI coding agents?โผ
It gives agents persistent project memory, so they remember your architecture, past bugs, decisions, and coding preferences instead of starting from zero every session.
How does Potpie build project context?โผ
It indexes your repositories, pull requests, issues, docs, and integrations like GitHub, Linear, and Jira into a searchable context graph your agent can query.
Does Potpie work with Claude Code and Codex?โผ
Yes. Potpie ships ready-made instructions and skills for Claude Code, OpenAI Codex, Cursor, and OpenCode.
Can agents save new learnings back to Potpie?โผ
Yes. After finishing work, the agent records durable facts like bug fixes and decisions through validated graph commits so future sessions can reuse them.
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