repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Productive-Superintelligence/lllm
A light-weight, modular, and high-performance framework for building llm agentic systems.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 55%Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates →
- PossiblePossibly related (embedding) · 55%Agentic AI for Robot Teams →
- PossiblePossibly related (embedding) · 54%Generative Skill Composition for LLM Agents →
- PossiblePossibly related (embedding) · 54%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- PossiblePossibly related (embedding) · 54%Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering →
- PossiblePossibly related (embedding) · 50%Prime Intellect raises $130M Series A to help enterprises build their own AI agents →
- PossiblePossibly related (embedding) · 55%Metacognition in LLMs: Foundations, Progress, and Opportunities →
- PossiblePossibly related (embedding) · 56%New LLM Coordination Benchmark - Benchmarking Open-Ended Multi-Agent Coordination in Language Agents [R] →
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Related across the graph
newsNew LLM Coordination Benchmark - Benchmarking Open-Ended Multi-Agent Coordination in Language Agents [R]paperMetacognition in LLMs: Foundations, Progress, and OpportunitiesnewsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routerspaperGenerative Skill Composition for LLM AgentsnewsPrime Intellect raises $130M Series A to help enterprises build their own AI agentsnewsAgentic AI for Robot TeamspaperCheap Code, Costly Judgment: A Case Study on Governable Agentic Software EngineeringpaperConversable Complexity: Agentic LLM Collectives as Interpretable SubstratesnewsWe compared different LLMs on IMO 2026 [R]newsWhy good AI agents still produce bad system outputs