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Potpie

A context graph of your codebase and SDLC for AI agents.

Potpie turns a codebase and its software-delivery lifecycle into a living context graph for AI agents, indexing code structure, decisions, source history, team knowledge and workflows so agents can answer questions, plan changes, debug failures and write code with project-specific context. The open-source CLI (Apache-2.0, about 5.8k GitHub stars) runs a setup wizard that provisions a local daemon and agent skills and plugs into the user's chosen coding harness, such as OpenAI Codex. Its enterprise offering runs agents inside the customer's VPC and adds spec-driven development; Potpie says it was one of 20 picks for Google's 2026 Accelerator.

In research (1)

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Stateful agents with memory, from the team behind MemGPT.

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The AI-native code editor where agent mode lives.

Cursor rebuilt the IDE around models: tab completion, in-editor chat and agent mode that plans multi-file edits and runs commands. Its rise set the pace for the entire coding-agent market.

~$29B valuation (late 2025)

3 pros · 4 cons

Sources

  1. Potpie homepage
  2. GitHub: potpie-ai/potpie