{"id":44338309,"url":"https://github.com/rainmana/mcw-framework","last_synced_at":"2026-03-05T09:12:48.439Z","repository":{"id":335778713,"uuid":"1147005803","full_name":"rainmana/mcw-framework","owner":"rainmana","description":"Meta-Context Framework is novel research into a new coordination-focused lens for understanding human–AI interaction through information exchange rather than model capability.","archived":false,"fork":false,"pushed_at":"2026-02-01T03:33:35.000Z","size":19,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-02-23T21:58:26.675Z","etag":null,"topics":["ai","context-management","framework","genai","research-project"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rainmana.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-02-01T03:09:47.000Z","updated_at":"2026-02-01T03:33:45.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/rainmana/mcw-framework","commit_stats":null,"previous_names":["rainmana/mcw-framework"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rainmana/mcw-framework","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rainmana%2Fmcw-framework","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rainmana%2Fmcw-framework/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rainmana%2Fmcw-framework/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rainmana%2Fmcw-framework/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rainmana","download_url":"https://codeload.github.com/rainmana/mcw-framework/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rainmana%2Fmcw-framework/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30117552,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-05T08:19:04.902Z","status":"ssl_error","status_checked_at":"2026-03-05T08:17:37.148Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","context-management","framework","genai","research-project"],"created_at":"2026-02-11T12:00:22.053Z","updated_at":"2026-03-05T09:12:48.395Z","avatar_url":"https://github.com/rainmana.png","language":null,"readme":"# Meta-Context Window (MCW) Framework\n\n## Motivation\n\nAs AI systems become more capable, a growing class of failures persists even when models are powerful, prompts are well-formed, and tasks are reasonable.\n\nThese failures are often described as:\n\n* hallucinations\n* misunderstanding\n* lack of reasoning\n* alignment problems\n* “the model not getting it”\n\nThe MCW framework proposes that **many of these failures are better explained as coordination breakdowns**, not capability failures.\n\nIn particular, MCW focuses on what happens when:\n\n* humans and AI operate with **different internal context windows**\n* information is **lost, compressed, misweighted, or delayed**\n* repair is **implicit, suppressed, or too costly**\n\n---\n\n## Core Claim (Minimal and Testable)\n\n\u003e **Many failures in human–AI collaboration arise from degraded shared context, not from lack of intelligence or knowledge.**\n\nMCW offers a way to:\n\n* name this failure mode\n* reason about it systematically\n* design interactions that reduce it\n\n---\n\n## What Is a Meta-Context Window (MCW)?\n\n### Informal definition\n\nA **Meta-Context Window** is the *shared coordination state* that emerges when two or more actors exchange information over time.\n\nIt is not stored in any single mind or model.\n\nIt exists only insofar as:\n\n* information is exchanged\n* interpreted\n* integrated\n* repaired when necessary\n\n---\n\n### Formal definition\n\n\u003e **MCW is the evolving coordination state induced by the exchange of Information Units (IUs) between actors operating under constrained context windows.**\n\nKey implications:\n\n* MCW is **emergent**\n* MCW can **degrade**\n* MCW can be **repaired**\n* MCW quality is **independent of raw intelligence**\n\n---\n\n## What MCW Is *Not*\n\nTo avoid overreach, MCW explicitly does **not** claim to be:\n\n* a theory of intelligence\n* a theory of consciousness\n* a replacement for alignment or safety research\n* a model of internal cognition\n* a claim that all failures are coordination failures\n\nMCW is a **lens**, not a universal explanation.\n\n---\n\n## Information Units (IUs)\n\nMCW is grounded in a simple abstraction: **Information Units**.\n\n### Definition\n\n\u003e **An Information Unit (IU) is the minimal transferable element of information that can influence coordination state between actors.**\n\nExamples:\n\n* a stated assumption\n* a goal\n* a constraint\n* a clarification\n* a summary\n* a correction\n\nIUs are:\n\n* **substrate-independent** (text, speech, symbols, prices, signals)\n* **representation-dependent** (tokens for AI, concepts for humans)\n* **context-sensitive**\n* **composable**\n* **lossy under transfer**\n\n---\n\n### What IUs Are Not\n\nIUs are not:\n\n* tokens\n* facts\n* beliefs\n* values\n* meanings in isolation\n\nThey are coordination-relevant informational elements.\n\n---\n\n## How MCW Degrades\n\nFrom an information-theoretic perspective, MCW degradation corresponds to **increasing uncertainty about shared IU state**.\n\nCommon failure modes include:\n\n* **Omission** – relevant IUs are not externalized\n* **Overcompression** – multiple IUs are collapsed too early\n* **Misweighting** – salience differs between actors\n* **Constraint opacity** – hidden variables affect responses\n* **Phase lag** – one actor advances context off-turn\n\nThese failures compound over time if not repaired.\n\n---\n\n## Repair as a First-Class Operation\n\nMCW treats repair not as a social nicety, but as a **core coordination primitive**.\n\nCanonical repair operations include:\n\n* **Re-grounding** – restating goals and assumptions\n* **Decompression** – expanding summaries back into components\n* **Re-weighting** – clarifying what matters most\n* **Disambiguation** – splitting overloaded terms\n* **Synchronization** – aligning context timelines\n\nHealthy MCWs make repair:\n\n* explicit\n* cheap\n* early\n\n---\n\n## Why This Is Not Just “Prompt Engineering”\n\nTraditional prompt engineering focuses on:\n\n* shaping outputs\n* controlling behavior\n* increasing compliance\n\nMCW-aware prompting focuses on:\n\n* reducing hidden variables\n* lowering repair cost\n* preserving shared context\n* making uncertainty visible\n\nIn MCW terms:\n\n\u003e **A system prompt is an initialization artifact, not a coordination solution.**\n\nIt injects static IUs early, but **cannot maintain or repair MCW on its own**.\n\n---\n\n## Toy Experiments (How This Can Be Tested)\n\nMCW is intentionally designed to be testable without special access or tooling.\n\nThis repository includes **toy experiments** that examine:\n\n* false alignment\n* asymmetric state advancement\n* overcompression damage\n* constraint opacity\n* repair suppression\n\nThese experiments:\n\n* are qualitative by design\n* can be run by individuals or teams\n* apply to human–human and human–AI interaction\n* generate interpretable outcomes beyond pass/fail\n\nIf MCW is not useful, these experiments should fail quietly.\n\n---\n\n## Why This May Be Useful\n\nMCW provides:\n\n* a vocabulary for coordination failures\n* a way to separate capability from interaction quality\n* a framework for designing better human–AI workflows\n* a bridge between HCI, information theory, and practical use\n\nEven if incomplete or partially wrong, MCW aims to be:\n\n* locally useful\n* falsifiable\n* adaptable across domains\n\n---\n\n## Status and Intent\n\nThis framework is **early-stage** and **exploratory**.\n\nPrimary goals:\n\n* reduce friction in real human–AI collaboration\n* provide testable coordination hypotheses\n* invite critique, refinement, or falsification\n\nThis repository is meant to be:\n\n* forked\n* challenged\n* extended\n* used experimentally\n\n---\n\n## Citation\n\nIf you use this framework in academic or technical work, please cite:\n\n\u003e [William \"Alec\" Akin]. *Meta-Context Window (MCW) Framework*. GitHub repository, 2026.\n\nA formal citation entry will be provided as the framework matures.\n\n","funding_links":[],"categories":["Others"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frainmana%2Fmcw-framework","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frainmana%2Fmcw-framework","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frainmana%2Fmcw-framework/lists"}