Batch 14 — Memory Secondary (Planning, Sessions, Knowledge Capture)
Roster (10)
| slug | stars | distribution | cli_binary | local_ui | orchestration | multi_model | tier |
|---|---|---|---|---|---|---|---|
| planning-with-files | 22,134 | claude-plugin | no | no | none | no | A |
| claude-code-plan-export | 21 | claude-plugin | no | no | none | no | A (archived) |
| grov | 192 | npm-package | yes (grov) | cloud-dashboard | none | yes (haiku drift-scorer) | A |
| corsair | 759 | mcp-server | no | web-dashboard | none | no | A |
| dev-workspace-dilberry | 39 | standalone-repo | no | no | parallel-fan-out | no | A |
| continuous-claude-parcadei | 3,789 | standalone-repo | no | no | hierarchical | yes (sonnet daemon) | A |
| design-os | unknown | unknown | unknown | unknown | unknown | unknown | C |
| knowledge-flywheel | unknown | unknown | unknown | unknown | unknown | unknown | C |
| second-brain-nicholas | 355 | skill-pack | no | obsidian | sequential | no | A |
| pai-personal-ai-infra | 14,434 | bash-script-bundle | no | web-dashboard (31337) | hierarchical | yes (sonnet+perplexity+gemini+grok+elevenlabs) | A |
Intra-batch Patterns
This batch reveals a clear spectrum from "minimum viable state persistence" to "maximum ambient intelligence." Planning-with-files, claude-code-plan-export, and dev-workspace-dilberry all implement simple file-based working memory with different scope (project/flat vs branch-scoped) — each adds hooks but no database. Grov and Continuous Claude both cross the database threshold (Supabase+SQLite and PostgreSQL+pgvector respectively) and both extract reasoning from agent sessions, but Grov focuses on team sharing while Continuous Claude focuses on individual compounding. PAI is in a different category entirely — it is the only "life OS" framing in the entire corpus, combining the Algorithm's epistemological framework with 45 skills, a background daemon, and multi-modal output. The batch also reveals how narrow "memory" is as a category: second-brain is PKM, Corsair is integration infrastructure, and knowledge-flywheel/design-os are Reddit rumors without confirmed repos.
Most Interesting Finds
planning-with-files (22K stars): The SHA-256 tamper-attestation system for plan files is a novel security primitive not seen anywhere else — guards against prompt injection attacks through the planning files themselves. The 17-IDE adapter matrix and POSIX portability work represent remarkable ecosystem coverage for a skills-only tool.
PAI (pai-personal-ai-infra): The Sonnet prompt classifier that decides MODE+TIER before every response via a UserPromptSubmit hook is architecturally unique — the model does not decide its own output format, an external classifier does. Combined with the closed 19-item thinking-capability enumeration (phantom names = CRITICAL FAILURE), this creates the most formally constrained response contract in the corpus.
Items Written as Tier C
design-os — Reddit mention only; no confirmed public repository. Concept: "onboarding into vibe-coded monolith." UNCONFIRMED per reddit-mentions-verified.md.
knowledge-flywheel — Reddit mention only; no confirmed public repository. Concept: "session-compounding learnings extractor." The concept is implemented by multiple other frameworks (Continuous Claude's
compound-learningsskill, Grov's reasoning extraction) but no standalone product confirmed.
Cross-References Discovered
- planning-with-files has 5 confirmed community forks (
devis,multi-manus-planning,plan-cascade,agentfund-skill,openclaw-github-repo-commander) and is cited by 3 named projects in the wild (ClarityFinance, vv-claude-harness, CCteam-creator) - claude-code-plan-export explicitly superseded by native Claude Code
planDirectorysetting — the only framework in the batch confirmed deprecated by platform feature parity - Continuous Claude is conceptually inspired by ccmemory (the memory seed) and superpowers; its YAML handoff concept may be the origin pattern for knowledge-flywheel
- PAI was created by Daniel Miessler, who also created Fabric (ExtractWisdom pattern used as a PAI skill). The Fabric patterns appear as first-class PAI capabilities.
- second-brain explicitly implements Andrej Karpathy's LLM Wiki pattern (cited gist) — the only framework in the batch with a clearly named academic/practitioner origin
- grov's anti-drift detection (monitoring agent actions vs stated goal via Haiku) is conceptually related to what PAI's PromptProcessing.hook.ts does (classify intent before every response)