← all plugins

1. ▌
   evaluation · muratcankoylan bundle

   Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.
   16.9k
   repo stars
2. ▌
   tool-design · muratcankoylan bundle

   Design tool descriptions, schemas, and response formats that agents can reliably route on, including MCP server design, tool-set consolidation, and naming conventions.
   16.9k
   repo stars
3. ▌
   hosted-agents · muratcankoylan bundle

   Design and build hosted agent infrastructure with sandboxed execution, warm pools, session persistence, and multiplayer collaboration.
   16.9k
   repo stars
4. ▌
   memory-systems · muratcankoylan bundle

   Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
   16.9k
   repo stars
5. ▌
   latent-briefing · muratcankoylan bundle

   Shares memory between agents at the representation level by compacting the orchestrator's KV cache for efficient worker handoff, reducing token costs without summarization or retrieval.
   16.9k
   repo stars
6. ▌
   bdi-mental-states · muratcankoylan bundle

   Model agent mental states using BDI (Beliefs, Desires, Intentions) ontology patterns, enabling cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.
   16.9k
   repo stars
7. ▌
   filesystem-context · muratcankoylan bundle

   Uses the filesystem as a durable overflow layer for agent context, enabling scratch pads, plan persistence, sub-agent communication, dynamic skill loading, and log management.
   16.9k
   repo stars
8. ▌
   advanced-evaluation · muratcankoylan bundle

   Provides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.
   16.9k
   repo stars
9. ▌
   context-compression · muratcankoylan bundle

   Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.
   16.9k
   repo stars
10. ▌
    context-degradation · muratcankoylan bundle

    Diagnose and mitigate context degradation patterns including lost-in-middle failures, context poisoning, distraction, confusion, and clash in AI agent systems.
    16.9k
    repo stars
11. ▌
    harness-engineering · muratcankoylan

    Designs autonomous agent harnesses with locked evaluators, editable surfaces, durable logging, novelty gates, pruning, rollback, and human approval boundaries.
    16.9k
    repo stars
12. ▌
    project-development · muratcankoylan bundle

    Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.
    16.9k
    repo stars
13. ▌
    context-fundamentals · muratcankoylan bundle

    Explains foundational concepts of context engineering: what context is, attention mechanics, the U-shaped attention curve, and why context quality matters more than quantity.
    16.9k
    repo stars
14. ▌
    context-optimization · muratcankoylan bundle

    Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.
    16.9k
    repo stars
15. ▌
    multi-agent-patterns · muratcankoylan bundle

    Design multi-agent systems with context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, and decision frameworks for when multiple agents are justified.
    16.9k
    repo stars
16. ▌
    self-improvement-loops · muratcankoylan bundle

    Designs and governs recursive self-improvement loops where an agent mines its own failures and proposes edits to its own harness, prompts, or workflow, covering acceptance gates, diversity preservation, and the optimization ladder.
    16.9k
    repo stars