Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.
GitHub repository with 6 stars and 3 forks.
Language: Python
Topics: agent-infrastructure, ai-agents, deterministic-agents, mcp, model-context-protocol, python, tool-orchestration, weaver-stack, workflow-engine
2026-06-04: 6 stars and 3 forks.
Budget-aware context compilation and context firewall for tool-heavy AI agents.
GitHub repository with 6 stars and 8 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-infrastructure, ai-agents, context-management, mcp, prompt-engineering, python
Verifiable and free cloud compute for AI agents. webMCP + MCP native. Check out our sandboxed Beta + research in the README
GitHub repository with 26 stars and 9 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-infrastructure, agent-skills, agent-wallet, agentic-cloud, ai-agents, claude
Execution control layer for AI agents — prevents duplicate or incorrect real-world actions under retries, uncertainty, and stale context.
GitHub repository with 6 stars and 2 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-agents, idempotency, reliability, agent, agent-infrastructure, agent-safety
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 4,882 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
Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
GitHub repository with 140 stars and 19 forks.
Trending score: 0.87; stars gained: +7; forks gained: +2.
Language: TypeScript
Topics: agent-infrastructure, agent-memory, ai-agents, ai-memory, cli, context-engineering
ctx: do you remember? — a single-binary, local-first, convergent memory system for humans and machines.
GitHub repository with 69 stars and 12 forks.
Trending score: 0.56; stars gained: +2; forks gained: +1.
Language: HTML
Topics: agent-infrastructure, ai-collaboration, ai-tooling, context-management, developer-tools, documentation
Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need.
GitHub repository with 189 stars and 3 forks.
Trending score: 0.47; stars gained: +2; forks gained: +0.
Language: TypeScript
Topics: agent-infrastructure, agent-runtime, agents, ai-agents, claude-code, codex-cli
Budget-aware context compilation and context firewall for tool-heavy AI agents.
GitHub repository with 6 stars and 8 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-infrastructure, ai-agents, context-management, mcp, prompt-engineering, python
OpenRouter for agents and containers. Provides a control plane for persistent agent workers. Route runtime + substrate, provision specialist presets, supervise the fleet. 161 skills · 35 MCP servers.
GitHub repository with 7 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: TypeScript
Topics: agent-fleet, agent-infrastructure, agent-machines, ai-agent, claude-code, codex-cli
A capability-based operating layer for long-running autonomous software engineering agents. Rust daemon, signed capabilities, append-only audit, drift-aware memory, fail-closed sandbox dispatch, commit-scoped provenance.
GitHub repository with 8 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Rust
Topics: agent-infrastructure, agent-os, ai-agents, audit-log, autonomous-agents, capabilities