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Inspiration — the academic shoulders we stand on

The architectural rationale behind agentfootprint, organized into two pillars.

THE WHY THE HOW
(user-visible win) (engineering discipline)
▼ ▼
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Connected data Modular boundaries
(Palantir lineage) (Liskov ADT + LSP lineage)
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▼ ▼
Fewer iterations to find Clean boundaries make
the answer · less re-work connection tractable
PillarPageOne-line summary
THE WHYConnected data — the Palantir lineagePalantir’s 2003 thesis (connect data, not analysts) returns at agent runtime. Disconnected state burns iterations and tokens. agentfootprint connects four classes of agent data (state · decisions · execution · memory).
THE HOWModularity — the Liskov lineageLiskov’s ADT + LSP work, applied to flowcharts. Subflows are CLU clusters. CacheStrategy / LLMProvider / ToolProvider are LSP-substitutable. Locality of reasoning is enforced as a runtime invariant.

Future entries (planned): the ReAct paper · Parnas information hiding · Hewitt actors · Anthropic Skills · flow-based programming.

These pages are the rationale behind the library design — written for:

  • Contributors who want to understand WHY a boundary is shaped the way it is before changing it
  • Library evaluators comparing frameworks at the architectural level
  • People who want to learn from the same sources we learned from

If you just want to use the library, start at Quick Start instead. The inspiration pages are not required reading.

Liskov gives us boundaries that don’t leak — every framework interface is substitutable, every subflow hides its internals.

Palantir gives us connections within those boundaries — the agent can follow a thread across stages without re-discovering it on every iteration.

Boundaries alone produce a clean but dumb library. Connections alone produce a fast but unmaintainable one. Both together is the design.