What do you want to do?
3 use cases
-
Find and resume an old AI coding session by title
Index every session from every agent and directory, then search and jump back into the one you need.
View prompt
Install pradipta/wallfacer, search for sessions about <topic>, and resume the most recent match. Confirm wallfacer did not modify the agent's own session files.
-
Start agent sessions with a title and project
Launch new sessions already named and grouped so they stay findable.
View prompt
Use wallfacer to start a session in <dir> titled <title> under project <project>, then list that project's sessions as JSON. Verify the new session appears with the right title.
-
Script reports over your agent sessions with JSON
Export session lists per project as JSON for your own scripts and dashboards.
- REPO
pradipta/wallfacer - Software and DevOps
- Intermediate
View prompt
Run `wallfacer list --project <project> --json`, count sessions per agent, and report the oldest one. Confirm the counts match what the full-screen browser shows.
- REPO
Quick start with Wallfacer
- Check you have what it needs: Homebrew or Go; At least one of Claude Code, Cursor CLI, Kiro CLI or Codex.
- Open pradipta/wallfacer on GitHub and read the README and license.
- Install with
brew install pradipta/wallfacer/wallfacerorgo install github.com/pradipta/wallfacer@latest - Run
wallfacerto browse every session by recency - Search with
wallfacer search auth - Resume with
wallfacer resume "fix flaky auth tests"
These steps come from our top use case, Find and resume an old AI coding session by title, which also has a copy-paste agent prompt.
Use this in your AI agent
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Using the Deduped MCP, get the setup steps for pradipta/wallfacer
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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About this repo
- Who it is forDevelopers with dozens of untitled AI coding sessions across several agents.
- Why it is hot117 stars, launched 90 days ago
- LanguageGo
- Sourcegithub.com/pradipta/wallfacer · Back to Hot repos
Requirements
- Homebrew or Go
- At least one of Claude Code, Cursor CLI, Kiro CLI or Codex
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Questions about Wallfacer
What is Wallfacer?
wallfacer is a Go terminal session manager that indexes Claude Code, Cursor CLI, Kiro CLI and Codex conversations read-only so you can name, tag, search, resume or delete them. It is an open-source project on GitHub: https://github.com/pradipta/wallfacer.
How do I use Wallfacer?
Install with brew install pradipta/wallfacer/wallfacer or go install github.com/pradipta/wallfacer@latest; then run wallfacer to browse every session by recency; Search with wallfacer search auth. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Wallfacer for?
Developers with dozens of untitled AI coding sessions across several agents.
What can I do with Wallfacer?
3 use cases so far, for example: Find and resume an old AI coding session by title; Start agent sessions with a title and project; Script reports over your agent sessions with JSON. Each has steps and a copy-paste agent prompt.
What do I need to run Wallfacer?
Homebrew or Go; At least one of Claude Code, Cursor CLI, Kiro CLI or Codex.
What are alternatives to Wallfacer?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Wallfacer safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.