Awesome local LLM
Section: Context Engineering · a comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems
FreshScore 87
Entry
Awesome-Context-Engineering
Appears in 2 awesome lists
a comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems
Found in these lists
Awesome Prompts
Section: Context Engineering · curated papers, frameworks, and implementation guides
FreshScore 90
Often listed next to it
Effective Context Engineering for AI Agents
Anthropic's systematic guide to managing the full context state—system prompts, tools, MCP, and message history—as a finite, curated resource. Reframes harness design as "what configuration of context produces the desired behavior?" rather than just prompt wording.
In 5 listsDetails
muratcankoylan/Agent-Skills-for-Context-Engineering
comprehensive, MIT-licensed collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems — context fundamentals/degradation/compression, memory systems, tool design, harness engineering, self-improvement loops; cited in academic research as…
In 4 listsDetails
Context-Engineering
a frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization
In 3 lists
Graft
Open-source codebase context layer for coding agents — builds a persistent, queryable code graph and pulls matching nodes into each prompt; 46% fewer tool calls, 42% token savings, 60% faster on a 162-run benchmark, 66% SWE-bench Verified (vs 54% cold); supports Claude Code, Cursor, Codex, Gemini…
In 2 lists
redhat-et/ripwire
"The ripgrep of AI context" (Red Hat): zero-dependency C++23 CLI + MCP server that lets coding agents find what they need without reading the whole repo — tree-sitter signatures at 74.7% fewer bytes than bodies, blast-radius queries, tests-to-run suggestions, and post-change verification with…