longgraph

Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP

5 skills · 1 command · 4 agents

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills

Collection of Deep Agents skills for complex long-horizon agents with built-in planning, context management, and task delegation

10 skills

XROS — an eXecutable Research Operating System. Four commands: compile a long-horizon investigation into a verifiable methodology spec; sharpen an un-checkable question (orient a newcomer in a field's vocabulary → falsifiable claim → best-available check, with its ceiling); run the Tier-A/B multi-agent engine (diverse independent routes, adversarial refutation) gated on a real oracle's exit code; or reason through a no-oracle Tier-C claim with premises, pre-mortem, and dated tripwires. Founding rule: no verification, no claim. Ships a bundled dependency-free validator and conformance suite.

4 skills

Set a long-horizon goal in a project and advance it one increment at a time, delegating to Codex/Cursor.

1 skill · 5 commands

Deep reading, pre-draft article research, method transplant, low-variance translation, prose editing, long-horizon artifacts and loops, a spec-driven development workflow, and a constitution for human-AI collaboration.

11 skills