CONTEXT JAMMING

Field notes from inside the context window.

ContextJamming / systems POC 001POC simulation — local browser storage only

Agent memory, made inspectable

Skill Memory Bank

Turn ephemeral chats into reusable agent memory skills.

Long context is working memory. Skills are long-term memory. The Skill Memory Bank turns conversations into scoped, inspectable, reusable procedural memory that an agent can scan, pulse, and govern without flooding the context window.

01

Abstract-first retrieval

Scan the index before loading the book.

02

@mention graph pulses

Retrieve a path, not a pile of chunks.

03

User-governed lifecycle

Read, write, assess, correct, archive.

01

Conversation

Ephemeral work, decisions, corrections, and outcomes.

02

Distillation

Heuristics separate facts, preferences, procedures, and causes.

03

Skill Artifact

A portable, typed memory object with evidence and scope.

04

Level 5 Abstract

A tiny index card describing when the skill is useful.

05

Graph Pulse

Explicit entities activate a traversable neighborhood.

06

Scoped Retrieval

User, project, and sensitivity gates run before loading.

07

Utility Governance

Use, correction, decay, merge, archive, and restore.

01 / Distillation

Conversation → skill artifact

This deterministic local heuristic extracts entities, procedures, semantic preferences, causal hints, and a Level 5 abstract. No API, model, or server receives the text.

raw_conversation.txt142 est. tokens
selected_skill.artifactactive
procedural memory

Codex Workflow Hardening

91utility

Use plan-first implementation, repo-local guidance, and verification loops before accepting agent-generated code.

@CodexWorkflowAGENTS.mdPlanModeValidationLoop
L1
Observation

Always inspect repo-local instructions before editing. · A green build is necessary but visual verification closes the loop.

L2
Outcome

Use plan-first implementation, repo-local guidance, and verification loops before accepting agent-generated code.

L3
Pattern

agent workflow, verification, repo guidance

L4
Protocol

Inspect repository guidance and conventions. · Write a concise implementation plan.

L5
Abstract

Use plan-first implementation, repo-local guidance, and verification loops before accepting agent-generated code.

skill://ContextJamming/codex-workflow/abstract
02 / Skill Lakebed

Browse the memory substrate

Seeded fictional skills and browser-local additions share one searchable lakebed. Select a card to inspect its MCP resource and governance controls.

7 visible skills0 local additions
03 / Retrieval

Pulse the graph

A graph pulse retrieves a path, not a pile of chunks. Entity anchors activate candidate skills, graph edges explain traversal, and scope gates run before any memory enters context.

Skill Lakebed graph pulseData-driven graph showing entity anchors connected to skill nodes through semantic, temporal, causal, and entity relationships. Traversed nodes glow in order and scope-denied nodes remain locked.Codex Workflow Hard…@CodexWorkflowAGENTS.mdPlanModeValidationLoopFounderFile Researc…@FounderFileVoyageEmbeddingsMemory Governance P…ContextJamming Visu…MCP Resource Templa…Graph Pulse Retrieval
entitysemantictemporalcausal
retrieval_bundle.jsonawaiting pulse

Pulse an @mention to reveal the scored, scoped traversal bundle.

04 / Safety boundary

Scoped memory by default

Memory must be scoped before it is smart. Graph pulses are intersected with user_id, project_id, and sensitivity constraints before context is assembled. The agent may discover that relevant memory exists without exposing the underlying content when scope is denied.

Client-side simulation only. This POC demonstrates the control model; it is not an authorization system.
Candidate memoryUserProjectResult
Codex Workflow Hardeningdemo-userContextJammingretrievable
FounderFile Research Pipelinedemo-userFounderFilemetadata only
Client A Migration Exceptionclient-aClientWorkmetadata only
05 / Interface

Memory as MCP resources + tools

Keep discovery lightweight and execution explicit. Resources expose inspectable memory; tools perform lifecycle operations.

Resources
resources/listskill://{project}/{domain}/abstractskill://{project}/{domain}/tmt/L5skill://{project}/{domain}/procedure
Tools
distill_conversation_to_skillpulse_entity_networkassess_skill_utilitymerge_redundant_skillsarchive_low_utility_skill
mock resource response
{
  "uri": "skill://ContextJamming/codex-workflow/abstract",
  "mimeType": "text/markdown",
  "tokens": 28,
  "scope": "demo-user:ContextJamming",
  "utilityScore": 0.91
}
06 / Read—Write—Assess—Govern

Utility is a retrieval prior, not truth.

Feedback changes what the system tries first. It does not rewrite reality. Human correction remains authoritative, and every memory needs a visible exit.

Read
Write
Assess
Govern
Selected skill

Codex Workflow Hardening

0.91active
Recent governance log

No assessments recorded for this skill yet.

07 / Token economics

Scan small. Load selectively.

Illustrative, conservative arithmetic—not a benchmark. The model compares replaying every prior transcript with scanning abstracts and loading a few complete skills.

Full-context estimate312,000tokens
Skill bank estimate6,120tokens
Illustrative reduction98%

Instead of replaying 12 full sessions, the agent scans 18 compact indexes and recursively loads 3 complete skills. Real savings depend on transcript, tokenizer, and retrieval behavior.

08 / Research translation

Four forms of durable memory

A useful memory substrate preserves different kinds of knowledge without pretending they are interchangeable.

01

Episodicwhat happened

Events, outcomes, exceptions, and sequence.

02

Semanticwhat remains true

Preferences, facts, principles, and constraints.

03

Proceduralhow to do it again

Repeatable steps, checks, and decision rules.

04

Governancewhat deserves to persist

Utility, correction, decay, merge, and archive.

Why not just long context?

DimensionFull-context memoryFlat vector RAGSkill Memory Bank
Token costGrows with every sessionModerate; repeated chunksAbstract scan + selective load
Causal traceabilityBuried in transcriptUsually weakExplicit causal edges
Procedural reuseImplicitFragmentedExecutable workflow
Scope isolationPrompt-dependentFilter-dependentGate before retrieval
Human correctionAppendedRe-embeddedLifecycle action
Multi-session compoundingContext bloatIndex growthSkill refinement
09 / Verification loop

Put the POC under pressure

A production-intent artifact needs an adversarial review loop. This portable brief asks another agent to inspect the live behavior, infer the implementation, prioritize risks, and recommend the next high-leverage iteration.

skill_memory_bank_production_review.md
You are reviewing a production-intent POC for ContextJamming called **Skill Memory Bank**.

**Live page:** https://www.contextjamming.com/SkillMemoryBank

**Project context (for you):**
- This is a browser-local simulation (no server, no external APIs) that turns ephemeral agent conversations into scoped, inspectable, reusable procedural memory "skills".
- Core principles: abstract-first retrieval, @mention graph pulses, user-governed lifecycle, and strict scoping before intelligence.
- It must feel like a real memory substrate, not just marketing copy.
- Visual/typographic language should stay consistent with Context Jamming (editorial, high-signal, Fraunces + IBM Plex Mono influence, clean cards, clear hierarchy).
- This POC is meant to be both a compelling demo for investors/partners and a working primitive we can evolve toward real agent use (MCP resources/tools, future sovereign stacks).

**Your task — thorough code + UX review:**

1. **Analyze the live page thoroughly** (all sections, all interactive elements, buttons, cards, the distillation example, graph pulse area, safety boundary table, governance feedback, import/export/clear).
2. **Infer or request the implementation details** you need (HTML structure, Tailwind usage, vanilla JS / state model, localStorage schema, distillation heuristic logic, graph representation, how pulsing and scoping actually work in code, any seeded data vs dynamic creation).
3. **Deliver a structured review** with the following sections:

**A. Executive Summary**
(2-3 sentences on overall quality, fidelity to the 7-stage vision, and production readiness)

**B. Strengths**
(What is already working well — architecture, UX moments, conceptual clarity, code patterns worth keeping)

**C. Issues & Risks** (categorized + prioritized)
- P0 (must fix for this to be a credible demo)
- P1 (important for maintainability / extensibility)
- P2 (nice-to-have polish)

Categories to cover:
- Conceptual fidelity (does the implementation actually demonstrate abstract-first + graph pulsing + scoped governance, or is it mostly static explanation?)
- Distillation heuristic quality & transparency
- Graph pulse / retrieval implementation
- Data model & localStorage design (schema, versioning, migration path)
- State management & reactivity
- Code organization & maintainability (especially if still monolithic single-file)
- UX / interactivity gaps (empty states, feedback, real skill creation flow, verification loops)
- Accessibility & keyboard support
- Mobile / responsive behavior
- Error handling, edge cases, and "what if" scenarios
- Performance / DOM bloat risks
- Security / scoping simulation robustness

**D. Specific Recommendations**
For each major issue, give concrete suggestions (and code snippets where helpful). Prioritize changes that increase the "this feels like real governed memory" perception.

**E. Quick Wins**
A short list of high-impact, low-effort improvements that would make the POC feel significantly more alive.

**F. Extensibility Notes**
How easy/hard would it be to:
- Add real user-created skills from pasted conversation
- Evolve the graph into a proper traversable structure
- Wire this to a real MCP server later
- Reuse components/patterns in future ContextJamming POCs

**G. Final Verdict + Recommended Next Step**
(One paragraph + a clear suggested scope for the next iteration)

**Tone & Approach:**
- Be direct but constructive. You are helping ship a high-signal artifact.
- Reference the "Codex Workflow Hardening" skill principles where relevant (plan-first, repo-local guidance, verification loops, visual + build verification).
- Assume we will iterate quickly — focus on leverage, not perfectionism.

Begin your review now. If you need the full HTML source or specific sections of the JS, tell me exactly what to paste.
Portable / inspectable / governed

Socialize the architecture

This POC is a conversation artifact: a way to show how personal and organizational memory can become inspectable, portable, governed agent skill infrastructure.

Everything on this page runs in your browser. No memory is sent to a server. Reload persistence uses localStorage.

§ · Invoice No. 001 · The Build Ledger

The Ledger.

Filed · contextjamming.com

What a conservative mid-market digital agency would have quoted for the same scope, itemized against what this site actually cost. Agency numbers are the floor — not the premium brand-studio tier.

TIME

12 weeks

2 days

~42× faster

COST

~$150,000

~$300

~500× cheaper

TEAM

5-person agency

1 human + 3 models

Same deliverable

§ Itemized — what a mid-market agency SOW would have billed

Discovery · brand positioning · workshops40–80 hr$10,000
Design system · Figma tokens · 3 rounds60–120 hr$18,000
Wavesurfer audio carousel · single-track context60–100 hr$16,000
Dual lightbox systems · focus trap · keyboard30–50 hr$8,000
LLM product flows · streaming · state machine80–160 hr$26,000
Stripe · checkout · webhooks · env hardening40–80 hr$10,000
Editorial routes · 6 sub-pages · templates60–100 hr$14,000
Accessibility pass · aria · reduced-motion40–80 hr$10,000
QA · cross-browser · mobile matrix60–100 hr$14,000
Cross-publication rebrand · masthead + IA · 2026-04-2820–40 hr$6,000
Subtotal~700 hr$126,000
Project management · 18% overhead$24,000
Agency total — conservative floor~700 hr~$150,000
Actually spent · Claude + Gemini stack~20 hr~$300

Agency figure assumes ~700 billable hours at $200/hr blended, plus ~18% PM overhead — the conservative floor of a mid-market SOW. Premium brand studios would have quoted 2–3× that. Stack: Antigravity (orchestrator), Claude Opus 4.8 (auditor), Codex (adversary), Cloudflare Workers / OpenNext.

§   Colophon

How this site is made.

Vol. 26 · build log

Every page on contextjamming.com is the output of a real-time, three-body Mixture-of-Experts loop. One model orchestrates. Two consult. The human holds the thesis. No single model commits alone.

View Redesign Assessment →

Orchestrator

Antigravity

Google DeepMind

  • Primary author
  • Terminal-native, direct push to Cloudflare
  • Audit trail to GitHub on every commit
  • Adaptive thinking · effort: extra-high

Auditor

Claude Opus 4.8

1M context

  • Editorial critic
  • Code review before merge
  • Backup-of-record
  • Co-signs every commit

Adversary

Codex

Cross-model MoE

  • Factual adjudication
  • Structural dissent
  • Deep Research → semantic triples
  • Caught the Donelan incident

Stack

Next.js
16.2 · App Router
React
19.2
TypeScript
5
Tailwind
v4 · @theme inline
@opennextjs/cloudflare
adapter
wrangler
Pages deploy
framer-motion
transitions
wavesurfer.js
audio waveforms

Typeset in

Fraunces
variable · opsz + SOFT
Playfair Display
debate display
IBM Plex Mono
editorial metadata
Geist Mono
utility mono
Caveat
grease-pencil marginalia
All via
next/font/google
Palette
single @theme block
No dupe tokens
ever

Infrastructure

Deploy
Cloudflare Workers / OpenNext
ISR
30-min revalidate · Cloudflare-served
Repo
github.com/BretKerrAI/founderfile
Branch
main
Analytics
Google Tag Manager
Apex
contextjamming.com
Runtime
Node 24
Build tool
Turbopack
       human intent
            │
            ▼
   ┌────────────────────┐         ┌─────────────────┐
   │    Antigravity     │  ◄────► │ Claude Opus 4.8 │      ← auditor loop
   │    (orchestrator)  │         │     (auditor)   │
   └─────────┬──────────┘         └─────────────────┘
             │  ◄───────────┐
             ▼              │
       ┌──────────┐    ┌────┴───────┐
       │Cloudflare│    │   Codex    │          ← adversarial loop
       │ Workers  │    │            │
       └─────┬────┘    └────────────┘
             │
             ▼
       contextjamming.com
             │
             ▼
       ┌──────────────┐
       │   Git push   │         ← audit trail
       └──────────────┘
Assembled on Mac in Terminal · Filed from Franklin, MAContext Jamming · ACRA Insight LLC · MIT License · FounderFile.ai · RelationalIntelligence.xyz · Commission a Dispatch →