WEwesturner·Feb 23, 2026
Though the README is probably enough context, would there be value in an agent skill for this?
https://agentskills.io/what-are-skills
SKILL.md format:
https://agentskills.io/specification#skill-md-format
The skill creator skill SKILL.md: https://github.com/anthropics/skills/blob/main/skills/skill-...
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SWE bench involves solving GitHub issues.
Which of the SWE bench agents read from or write to GitHub issues?
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There could be a local cache of remote issues, and/or an overlayfs-like write cache
From https://github.com/GothenburgBitFactory/bugwarrior :
> bugwarrior - Pull tickets from github, bitbucket, bugzilla, jira, trac, and others into taskwarrior
https://github.com/bergercookie/syncall :
> Bi-directional synchronization between services such as Taskwarrior, Google Calendar, Notion, Asana, and more
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ditz is on the filesystem
ditz:
h
Read the rest
ttps://github.com/jashmenn/ditz :
> Ditz is a simple, light-weight distributed issue tracker designed to work with distributed version control systems like git, darcs, Mercurial, and Bazaar
git-ditz: https://github.com/ihrke/git-ditz
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sqlite-utils does SQLite FTS full text search config. There are additional tables for FTS indexes.
sqlite-utils: https://github.com/simonw/sqlite-utils
sqlite-utils >
Configuring full-text search:
https://sqlite-utils.datasette.io/en/stable/cli.html#configu... :
sqlite-utils enable-fts mydb.db documents title summary
# after subsequent writes
sqlite-utils populate-fts mydb.db documents title summary
# rebuild the FTS indexes
sqlite-utils rebuild-fts mydb.db documents
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One of these mentions sensitivity analysis and basically cache poisoning;
From "I built a memory system for Claude that solves the context loss issue" https://news.ycombinator.com/item?id=45546276 :
- buildautomata_memory_mcp:
https://github.com/brucepro/buildautomata_memory_mcp
Notes from "Show HN: Recall: Give Claude memory with Redis-backed persistent context" a few days ago: https://news.ycombinator.com/context?id=45517613 :
- recall: https://github.com/joseairosa/recall
sediment: https://github.com/rendro/sediment :
> Semantic memory for AI agents. Local-first, MCP-native
sediment-benchmark:
https://github.com/rendro/sediment-benchmark :
> Benchmark suite for memory systems (Sediment, ChromaDB, Mem0, Letta)