championswimmer

championswimmer / pi-context-prune

Public

Pi coding-agent extension for pruning tool-call trees

48
2
100% credibility
Found Apr 29, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An extension for the Pi AI coding agent that automatically summarizes verbose tool outputs to keep conversation context lean while allowing on-demand recovery of originals.

How It Works

1
🔍 Discover the tidy-up helper

While chatting with your AI coding friend in Pi, you hear about a simple add-on that keeps conversations neat by summarizing old tool details.

2
📦 Bring it into your setup

You easily add the helper to Pi so it's ready whenever you start a new coding adventure.

3
🔧 Switch it on

With one friendly command, you turn on the magic that watches your AI's tool work and makes tidy summaries.

4
🛠️ Let your AI work freely

As your AI grabs info or edits files with tools, the helper quietly summarizes the bulky results into short notes.

5
📈 Peek at the savings

Glance at a status bar showing how much space you've saved, or browse a neat tree of summaries.

6
🔍 Grab full details anytime

Need the original long output? Just ask the AI to fetch it using the summary's clues.

🎉 Endless focused chats

Your coding sessions stay speedy and affordable, handling huge projects without forgetting key details.

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Star Growth

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AI-Generated Review

What is pi-context-prune?

Pi-context-prune is a TypeScript extension for the Pi coding agent that automatically summarizes batches of tool-call outputs and prunes verbose raw results from the LLM context window. In long autonomous coding agent sessions on GitHub projects, tool outputs quickly bloat context, slowing responses and hiking costs—this keeps things lean by injecting compact summaries while letting the agent recover full originals via the `context_tree_query` tool. Install via npm or git for Pi, with no extra flags needed.

Why is it gaining traction?

It stands out among pi coding agent extensions and coding agent GitHub tools with five cache-aware prune modes—like "agent-message" for batching whole tasks or "agentic-auto" where the model decides—plus a footer status widget tracking tokens and costs. Commands like `/pruner tree` offer a foldable browser for pruned calls, `/pruner now` for manual flushes, and cheap summarizer models (e.g., Claude Haiku) cut latency without losing info. Pairs with pi-cache-graph for visualizing cache hits, making it a free coding agent GitHub must-have over basic vscode coding agent extensions.

Who should use this?

Pi coding agent users running long sessions on GitHub repos, like backend devs debugging multi-step refactors or AI researchers testing langgraph coding agent GitHub workflows. Ideal for those hitting context limits in pi coding agent GitHub Copilot flows or gemini coding agent GitHub experiments, especially with prefix caching on Anthropic or Bedrock.

Verdict

Grab it if you're deep in Pi—solid docs and TUI commands make it production-ready despite 48 stars and 1.0% credibility score signaling early maturity. Test in "agent-message" mode first; skip for one-off tasks.

(187 words)

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