Show HN: Wallfacer – A terminal session manager for Claude Code, and more
Wallfacer is a terminal session manager that indexes AI coding sessions from Claude Code, Cursor CLI, Kiro CLI, and Codex without altering the agents' original files. It offers both a full-screen text user interface and command‑line subcommands for organizing, searching, renaming, tagging, and resuming sessions, storing metadata in a local SQLite database. The tool can be installed via Homebrew or Go and includes features such as safe deletes, multi‑agent support, and extensible adapters.
- ▪Wallfacer reads session files from four different AI coding agents and creates a read‑only SQLite index of titles, tags, and projects.
- ▪Users can interact with the index through a TUI browser or CLI subcommands, enabling actions like search, resume, and safe deletion.
- ▪Installation is supported on macOS and Linux via Homebrew or by compiling with Go 1.22+.
- ▪The tool’s design allows agents to be added via pluggable adapters, with open‑source code available on GitHub.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/pradipta/wallfacer |
| Publication time | Thu, 06 Aug 2026 03:52:56 +0000 |
| Retrieval time | 2026-08-06T06:05:42.735Z |
| Last seen | 2026-08-06T06:05:42.735Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | LRXrODr-sOJ3 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.