Systematically evaluate which of the ~265 hyperpolymath repos map to PanLL modules using the three-pane model:
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Pane-L (Left): Constraints — types, proofs, policies, invariants
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Pane-N (Centre): Agent reasoning — planning, analysis, decision-making
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Pane-W (Right): Results — output, visualisation, artefacts
PanLL is the unified mission control / accessibility layer for the entire hyperpolymath ecosystem — a "multi-monitor trader desk" with neurosymbolic intelligence behind each panel.
| Rating | Definition |
|---|---|
Strong fit |
Clear 3-pane mapping, immediate value. The repo naturally decomposes into constraints (Pane-L), reasoning (Pane-N), and output (Pane-W). Could be integrated as a PanLL module in 1-2 sessions. |
Moderate fit |
Partial mapping — maybe 2 of 3 panes are clear, or the fit is for a future evolution of the repo. Worth tracking but not immediate. |
Not applicable |
Libraries, utilities, archived repos, or repos that are consumed by other modules rather than being modules themselves. |
These repos are already identified as PanLL modules:
| Module | Repo | Pane Mapping |
|---|---|---|
VeriSimDB |
|
L: VCL-DT proofs, drift thresholds. N: Query planning, drift analysis. W: Entity data, drift heatmap. |
QuandleDB |
|
L: Quandle algebra constraints. N: Query optimisation. W: Query results, algebraic visualisation. |
LithoGlyph |
|
L: Schema types, formal specs. N: Query decomposition. W: Glyph rendering, results. |
reposystem |
|
L: RSR compliance rules. N: Template selection, scaffolding logic. W: Generated repo structure. |
gitbot-fleet |
|
L: Bot policies, confidence thresholds. N: Issue analysis, PR review. W: Bot actions, reports. |
IDApTIK |
|
L: Dependent type level validation. N: Level design reasoning. W: Game UI, level preview. |
panic-attack |
|
L: Security rules, vulnerability patterns. N: Static analysis, threat modelling. W: Scan reports, findings. |
hypatia |
|
L: CI/CD policies, scan thresholds. N: Pattern correlation, dispatch planning. W: Dashboard, alerts. |
| Repo | Monorepo | Pane Mapping |
|---|---|---|
airie |
standalone |
L: Network topology constraints, routing policies. N: Simulation engine, traffic analysis. W: Network visualisation, latency maps. |
proven |
standalone |
L: Formal proof obligations, type safety rules. N: Proof search, verification. W: Proof certificates, audit trail. |
stapeln |
|
L: Container policies, supply chain rules. N: Build orchestration, layer optimisation. W: Container images, SBOM. |
echidna |
standalone |
L: Code safety rules (believe_me bans). N: AST analysis, pattern matching. W: Lint reports, fix suggestions. |
Eclexia |
|
L: Grammar rules, type system. N: Parse/typecheck/evaluate. W: REPL output, AST visualisation. |
AffineScript |
|
L: Affine type constraints, linearity. N: Type inference, borrow checking. W: Compiled output, type errors. |
Anvomidav |
|
L: Language grammar, type rules. N: Compilation, optimisation. W: Compiled artefacts. |
protocol-squisher |
standalone |
L: Protocol specs, compression constraints. N: Compression strategy selection. W: Compressed output, stats. |
squisher-corpus |
standalone |
L: Corpus validation rules. N: Benchmark analysis, comparison. W: Benchmark results, charts. |
PanLL itself |
standalone |
L: Module registry, pane layout constraints. N: Module coordination, routing. W: The dashboard UI itself. |
ambientops/volumod |
|
L: Volume/mount policies. N: Storage analysis, allocation. W: Volume status, usage reports. |
ambientops/displace |
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L: Deployment constraints. N: Deployment planning, rollback logic. W: Deployment status, logs. |
claim-forge |
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L: Claim validation rules. N: Claim analysis, evidence gathering. W: Claim reports, certificates. |
scaffoldia |
|
L: Template constraints, RSR rules. N: Template selection, customisation. W: Generated project. |
bitfuckit |
|
L: Bitbucket API constraints. N: Repo analysis, migration planning. W: Migration reports, API responses. |
Axiom.jl |
|
L: Mathematical axioms, type constraints. N: Computation, proof search. W: Results, proofs. |
filesoup/fslint |
|
L: Lint rules, file quality policies. N: File analysis, deduplication. W: Lint reports, cleanup actions. |
social-media-tools |
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L: Platform API constraints, rate limits. N: Content scheduling, analytics. W: Post status, engagement metrics. |
| Repo | Reason for Moderate | Notes |
|---|---|---|
polystack/poly-*components |
|
Partial — the individual components are libraries, but the stack as a whole has a 3-pane mapping. Could be a meta-module. |
developer-ecosystem/deno-ecosystem |
|
Deno project management tools have some 3-pane potential (L: package policies, N: dependency analysis, W: project status). But many are thin wrappers. |
developer-ecosystem/zig-ecosystem |
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Build system tools could map to PanLL for cross-compilation management. |
developer-ecosystem/rescript-ecosystem |
|
ReScript tooling ecosystem — compiler/formatter integration could be a PanLL dev-tools module. |
developer-ecosystem/idris2-ecosystem |
|
Idris2 package management. Moderate fit for type theory module. |
developer-ecosystem/elixir-ecosystem |
|
OTP project management. Could integrate with VeriSimDB’s Elixir layer. |
nickel-augmentation |
|
Nickel config management has strong L-pane (schemas) but weaker N/W panes. |
ipv6-tools |
|
Network tools — L: RFC compliance. N: Address analysis. W: Connectivity reports. But narrow scope. |
standards/axel-protocol |
|
Protocol definition — strong L-pane, but the standard itself isn’t runtime software. |
standards/a2ml |
|
Markup language spec — more of a consumed standard than an interactive module. |
standards/rhodium-standard-repositories |
|
RSR spec — consumed by reposystem tools, not interactive itself. |
nextgen-languages/wokelang |
|
Language design — could be Eclexia-like module but less developed. |
nextgen-languages/ephapax |
|
Concatenative language — moderate fit for language design module. |
nextgen-languages/betlang |
|
Domain-specific language — narrow scope. |
games/phantom-metal-taste |
|
Game project — could be IDApTIK-like but different genre. |
games/dicti0nary-attack |
|
Word game — lightweight, less module potential. |
games/candy-crash |
|
Game — similar to above. |
asdf-tool-plugins (74 repos) |
|
Plugin ecosystem — could be a toolchain management module collectively. L: version constraints. N: version resolution. W: installed tools. |
patallm-gallery/echomesh |
|
Network mesh — moderate fit for distributed systems module. |
patallm-gallery/elegant-state |
|
State management — could integrate with PanLL’s own state. |
patallm-gallery/claude-integrations |
|
AI integrations — moderate fit, depends on direction. |
0-ai-gatekeeper-protocol |
standalone |
AI manifest protocol — strong L-pane (rules), but it’s a consumed spec not an interactive module. |
The remaining ~215 repos fall into categories that don’t map to PanLL modules:
| Category | Count | Reason |
|---|---|---|
hyperpolymath-archive |
113 |
Archived repos — historical, not active |
asdf-tool-plugins (individual) |
74 |
Each individual plugin is too thin — they work collectively (see moderate fit above) |
Library dependencies |
~15 |
Consumed by other modules, not interactive themselves (e.g., language-bridges, cadre-router) |
Mirror/practice repos |
~8 |
Practice mirrors, forks, not original work |
Config/infrastructure |
~5 |
.git-private-farm, farm manifests, CI config |
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Immediate: Register the 8 already-mapped modules in PanLL’s DatabaseRegistry (VeriSimDB, QuandleDB, LithoGlyph) and create a parallel LanguageRegistry (Eclexia, AffineScript) and ToolRegistry (panic-attack, hypatia, gitbot-fleet)
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Short-term: Implement the top 5 strong-fit candidates as PanLL modules: airie, proven, stapeln, echidna, Eclexia
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Medium-term: Evaluate whether the moderate-fit repos would benefit from a lighter-weight "PanLL widget" concept (single-pane display) vs full 3-pane modules
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Long-term: Dedicated session to systematically implement the remaining strong-fit candidates
| Category | Count |
|---|---|
Already mapped |
8 |
Strong fit |
18 |
Moderate fit |
22 |
Not applicable |
215+ |
Total evaluated |
~265 |
The hyperpolymath ecosystem has 26 repos (8 + 18) that naturally fit the PanLL three-pane model. With the 22 moderate-fit candidates, up to 48 PanLL modules could eventually populate the "multi-monitor trader desk" vision.