Transform JSON output from Senzing SDK for use with graph technologies, semantics, and downstream LLM integration
GitHub repository with 18 stars and 3 forks.
Language: Python
Topics: context-engineering, data-privacy, entity-resolution, entity-resolved-knowlege-graph, ontology, rdf, semantic-layer, semantics, senzing-public, senzing-template-python
2026-06-04: 18 stars and 3 forks.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,126 stars and 792 forks.
Trending score: 3.28; stars gained: +2,887; forks gained: +157.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
GitHub repository with 1,223 stars and 99 forks.
Trending score: 2.40; stars gained: +21; forks gained: +3.
Language: Python
Topics: agentskills, claude-code, claude-code-skill, claude-plugin, context-engineering, context-window
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
GitHub repository with 32,535 stars and 2,810 forks.
Trending score: 1.76; stars gained: +71; forks gained: +7.
Language: Python
Topics: agentic-ai, agents, ai, ai-agents, context-engineering, information-retrieval
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
GitHub repository with 25,137 stars and 1,936 forks.
Trending score: 1.74; stars gained: +37; forks gained: +8.
Language: Python
Topics: context-engineering, filesystem, rag, memory, skill, agent
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub repository with 1,585 stars and 158 forks.
Trending score: 1.51; stars gained: +38; forks gained: +3.
Language: Python
Topics: agent-harness, agent-memory, agent-orchestration, ai-agents, awesome-list, context-engineering
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
GitHub repository with 1,052 stars and 85 forks.
Trending score: 1.37; stars gained: +26; forks gained: +0.
Language: Python
Topics: agent-harness, context-engineering, harness-engineering
The agent that grows with you
GitHub repository with 180,729 stars and 30,995 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
GitHub repository with 4,879 stars and 485 forks.
Trending score: 4.55; stars gained: +340; forks gained: +27.
Language: Python
Topics: agent-skills, self-evolving-agents
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
GitHub repository with 13,233 stars and 1,551 forks.
Trending score: 4.53; stars gained: +301; forks gained: +38.
Language: Python
Topics: ai-agents, claude-code, cybersecurity, incident-response, mitre-attack, penetration-testing
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,166 stars and 523 forks.
Trending score: 4.43; stars gained: +415; forks gained: +37.
Language: Python
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
GitHub repository with 130,131 stars and 21,146 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
GitHub repository with 23,119 stars and 1,836 forks.
Trending score: 4.24; stars gained: +250; forks gained: +17.
Language: Python
Topics: anti-detect, bot-detection, browser-automation, chromium, cloudflare, fingerprint
Git. Ship. Done - Core
GitHub repository with 2,662 stars and 161 forks.
Trending score: 3.96; stars gained: +189; forks gained: +13.
Language: JavaScript
Topics: claude-code, context-engineering, meta-prompting, spec-driven-development
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,126 stars and 792 forks.
Trending score: 3.28; stars gained: +2,887; forks gained: +157.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.
GitHub repository with 553 stars and 243 forks.
Trending score: 2.63; stars gained: +22; forks gained: +4.
Language: Rust
Topics: agents-md, ai-agents, ai-assisted-development, claude-code, codex, coding-agents
A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture
GitHub repository with 469 stars and 48 forks.
Trending score: 2.61; stars gained: +21; forks gained: +3.
Language: TypeScript
Topics: context-engineering, meta-prompting, spec-driven-development
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
GitHub repository with 1,223 stars and 99 forks.
Trending score: 2.40; stars gained: +21; forks gained: +3.
Language: Python
Topics: agentskills, claude-code, claude-code-skill, claude-plugin, context-engineering, context-window
Spec-driven development (SDD) for AI coding assistants.
GitHub repository with 52,858 stars and 3,698 forks.
Trending score: 2.39; stars gained: +351; forks gained: +20.
Language: TypeScript
Topics: spec, ai, context-engineering, engineering, planning, prd