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ctx

Development environment for building with AI agents

Developer tool / API SaaS & software Show HN · launch post · ▲ 53

What it does

ctx is a CLI tool that indexes and searches coding agent session history stored locally on a developer's machine. It discovers logs and transcripts from AI coding agents like Claude, Cursor, and others, converts them into searchable records, and provides commands to retrieve specific sessions, blame code changes to particular agent runs, and map codebase relationships. The tool also includes a "sift" feature to filter noisy tool output before agents process it, and a "graph" command to visualize codebase structure.

Who it is for

Developers who regularly use AI coding agents and want to reuse work from previous sessions rather than starting fresh. The tool is most valuable for teams or individuals running multiple concurrent agent sessions, orchestrating subagents, or working across long-running projects where session history becomes hard to track manually.

Pricing

The site does not show prices.

How it stands out

ctx operates entirely locally without requiring modifications to agent processes or hooks running inside agents. It reads from existing session files that agents already generate and stores everything on the user's machine. The tool preserves full transcripts rather than compacting history into lossy summaries or "memory" formats. It supports multiple AI providers and automatically indexes new sessions as they occur. Unlike traditional agent memory systems, it offers instant recall of the exact record of what happened.

What a founder should check

First, verify whether developers actually reuse agent session history in practice or if most workflows are stateless and start fresh each time. Second, examine switching costs: since ctx is a local indexing layer, competitors could embed similar functionality directly into agent platforms or IDE integrations, making a standalone tool unnecessary. Third, investigate the moat—whether indexing agent transcripts creates sustainable differentiation when major AI coding platforms control the underlying agent execution and could capture this value themselves.

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