Browse all nodes
Every node in this graph. 58 nodes across 7 form types.
Entries marked ⊕ were grafted from a donor graph; the marker links to the donor's source for that node.
By form type
Each form type has its own index page listing nodes of that form with their summaries. Use this when you want to drill into a specific form.
- Contracts (13) — Form specifications — thin compliance rules with RFC 2119 keywords.
- Convictions (1) — Normative stances the project holds about how to work.
- Predicates (17) — Typed edges with Carries, Crescent-per-neighbor, and Typing sections.
- Glosses (1) — Interpretive definitions that frame concepts through a broader lens.
- References (17) — External sources the graph draws on, with publication metadata.
- Skills (8) — Agent-invocable workflows with numbered steps, grounded in the Decisions they enforce.
- Touch Points (1) — Guided introductions that frame a reader's lens onto a region of the graph — not summaries.
All nodes alphabetically (58)
Every node in one list, sorted by title. Each entry shows its form type so you can tell what kind of node it is. Use this when you remember a name but not the form, or when you want to scan the whole graph at once.
- A-MEM Agentic Memory (Xu et al., 2025) — Reference — A-MEM proposes agentic memory for LLM agents organized as a Zettelkasten-inspired interconnected knowledge network with dynamic indexing and linking, achieving 85-93 percent tok...
- Aspiration Form Contract — Contract — A directional target the project works toward, carrying its acknowledged Gap, current Work, and Progress-Recognition markers ⊕
- assists_by — Predicate — Facilitation by agent or person ⊕
- built_on — Predicate — Foundational substrate the subject rests on ⊕
- ClawVM Harness-Managed Virtual Memory (Rafique and Bindschaedler, 2026) — Reference — ClawVM proposes harness-layer enforcement of atomicity, persistence, and capability boundaries for stateful tool-using LLM agents, arriving independently at the substrate-proper...
- composes_with — Predicate — Routinely used alongside ⊕
- Compound AI Systems Optimization Survey (Lee et al., 2025) — Reference — A survey of optimization methods, challenges, and future directions for compound AI systems
- conforms_to — Predicate — Compliance with a specification ⊕
- contends_with — Predicate — Open tension with adjacent concept ⊕
- Contract Form Contract — Contract — The meta-contract: how a Contract node in this project is named, structured, declares inheritance, and conforms to itself ⊕
- contrasts_with — Predicate — Adjacent concept occupying different territory ⊕
- Conviction Form Contract — Contract — A held normative stance the project asks contributors to share, carrying Why-It-Is-Held and Drift Recognition sections ⊕
- Decision Form Contract — Contract — A committed choice with Why, Alternatives Considered, and What Would Change It; situational rather than standing ⊕
- DeepContext.com Graph (Allen, 2026) — Reference — The seed Deep Context graph; donor of the meta-layer (Form Contracts, Predicates, generic graph-operation Skills) grafted into eOS-DeepContext at instantiation
- DSPy Compiling Declarative Language Model Calls (Khattab et al., 2023) — Reference — DSPy is the foundational paper for treating LM pipelines as text-transformation graphs
- eOS Continuum Welcome — Touch Point — A guided introduction to the substrate-vs-glue diagnosis and the eight runtime primitives this graph anchors
- extends_contract — Predicate — Strict inheritance between form contracts ⊕
- frames_lens_on — Predicate — Frames a reader's lens onto a region of the graph ⊕
- Gloss Form Contract — Contract — An interpretive definition whose filename carries the working definition, usable from the filesystem without opening the file ⊕
- Graft — Gloss — A node copied from a donor graph into a recipient graph ⊕
- grafted_from — Predicate — Per-node content provenance from a donor graph ⊕
- Graph Audit — Skill — Sweeps the graph for drift across categories (vocabulary, ghost links, orphans, un-annotated edges, forbidden predicates, non-ASCII filenames); aggregates by pattern, not by file ⊕
- Graph Inception — Skill — Performs the local Open Integrity inception ceremony that stands up a new Deep Context graph with its own SSH-signed root commit and DID ⊕
- Graph Load Audit — Skill — Surveys the graph for node integration depth ⊕
- Graph Orient — Skill — Orients an agent to this graph at first entry by reading AGENTS.md, the landing page, then Contracts, Convictions, and Predicates in a prescribed order ⊕
- grounded_in — Predicate — Normative or structural foundation ⊕
- has_component — Predicate — Mereological relation where the subject contains the object as a component ⊕
- in_practice_domain — Predicate — Membership in a Practice Domain ⊕
- informed_by — Predicate — Weaker influence than grounded_in ⊕
- informs_downstream — Predicate — Providing substrate or evidence to a downstream node ⊕
- Inquiry Form Contract — Contract — A thesis-driven investigation node carrying a research question, current state, and open questions, with predicate vocabulary deferred to practice ⊕
- Markdown Node Contract — Contract — The base file-form every node inherits: encoding, filename rules, YAML scope, identity predicate block above the H1, Relations section, and named-edge syntax ⊕
- Mem0 Production Memory (Chhikara et al., 2025) — Reference — Mem0 is a production-oriented memory layer for AI agents using LLM calls to extract facts from conversations, storing them in hybrid vector and graph databases
- MemGPT Towards LLMs as Operating Systems (Packer et al., 2023) — Reference — MemGPT is the foundational paper framing agent memory as an OS-shaped concern, treating the LLM context window as physical memory and external storage as disk with virtual-memor...
- MemMachine Ground-Truth-Preserving Memory (Wang et al., 2026) — Reference — MemMachine stores raw conversational episodes and indexes them at sentence level, minimizing LLM dependence for routine memory operations and preserving factual integrity using...
- Memoria Modular Memory Framework (Sarin et al., 2025) — Reference — Memoria is a modular memory framework that augments LLM-based conversational systems with persistent, interpretable, and context-rich memory, integrating dynamic session-level s...
- Meriadoc (ChatTheatre, 2026) — Reference — The refererence implementation's sandboxed code-load DSL: source-as-property in the persistent image, multi-phase signal-triggered execution, decoration-and-compile over a denyl...
- Model-Harness-Fit (Bustamante, 2026) — Reference — Argues the matched pair of model and harness is the proper unit of analysis
- Node Create — Skill — Authors a new node conforming to the form Contract it claims: filename pattern, identity predicate block, required body sections, annotated Relations edges ⊕
- Node Read — Skill — Reads a node progressively by layer (identity, H1, opening, Relations), letting an agent spend a finite context budget on the layer its task needs ⊕
- Node Validate — Skill — Verifies a single node against the Form Contract it conforms to, walking the inheritance chain and distinguishing mechanical violations from semantic ones ⊕
- Observation Form Contract — Contract — A descriptive claim with matched epistemic grounds (Empirical, Retrospective, Contested, On-Faith) and the conditions that would revise it ⊕
- Pattern Form Contract — Contract — A recurring craft move named from practice, with Heart at card scale, Problem, Forces, Solution, and Consequences ⊕
- Predicate Form Contract — Contract — A typed-edge definition with Carries, Crescent-per-adjacent-predicate, and Typing sections; a specialization of Gloss for predicate names ⊕
- Predicate Propose — Skill — Gates additions to the local predicate vocabulary; each new predicate arrives as a proposal with Carries, Crescent per neighbor, and Typing, not as drift discovered after the fact ⊕
- Recursive Language Models (Zhang et al., 2025) — Reference — Recursive Language Models treat the prompt as an external Python REPL environment the LM examines, decomposes, and recursively calls itself over
- Recursive Language Models Paradigm of 2026 (Prime Intellect, 2026) — Reference — A Prime Intellect blog post arguing RLMs are the paradigm of 2026
- Reference Form Contract — Contract — An external source pointer with an Adopted / Not adopted (yet) split and publication metadata; cite-by-wikilink rather than cite-by-URL ⊕
- responds_to — Predicate — Direct reply creating a conversation thread ⊕
- scion_of — Predicate — Content lineage from a template graph ⊕
- Self-Reflective Language Models (Alizadeh et al., 2026) — Reference — Self-Reflective Language Models extend RLM's recursive scheme with uncertainty-aware program-trajectory selection in the same Python REPL environment, achieving 22 percent accur...
- Skill Form Contract — Contract — An agent-invocable workflow as a compound-node graph node, carrying a runtime-invocation name, an Anthropic-spec description, and numbered steps ⊕
- source_voice — Predicate — Whose thinking is captured when different from the author ⊕
- Substrate Compounding Overcomes Agent Harness Fit — Conviction — Held without separate inquiry
- Touch Point Form Contract — Contract — A guided introduction that frames a reader's lens onto a region of the graph ⊕
- Towards Resource-Efficient Compound AI Systems (Chaudhry et al., 2025) — Reference — Proposes a declarative workflow programming model and an adaptive runtime system for dynamic scheduling and resource-aware decision-making in compound AI systems
- Why Atomicity Matters to AI ML Infrastructure (Borrill, 2026) — Reference — A paper arguing atomicity must be explicitly constructed as protocol convergence in AI/ML training infrastructure rather than assumed as a temporal property
- Why I Built DSPy Agent Skills (codeandcontext.ai, 2025) — Reference — A blog post arguing that procedural knowledge differs fundamentally from raw information availability for agents, framing GEPA optimization plus RLM long context plus procedural...