mattbutlerengineering/mattbutlerengineering
mattbutlerengineering/mattbutlerengineering
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IDEAS FOR AGENTIC DEVELOPMENT
Saved public GitHub discoveries, explained in short summaries. Explore what each project does and how it could help you build, coordinate or evaluate agents.
Explore the feed ↓EXPLORE THE FEED
50 on this page · Page 10
Observed GitHub star growth per day, comparing saved observations about a week apart. Each card shows the actual dates. Counts describe attention, not quality.
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mattbutlerengineering/mattbutlerengineering
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matthewyjiang/rho
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maycuatroi1/evo-agents
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mblua/AgentsCommander
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MCapricorns/mycode
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MCKRUZ/microsoft-agentic-harness
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mcocdaa/AgentEverywhereFlow
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MervinPraison/PraisonAI
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50-WORD AI EDITORIAL SUMMARY
PraisonAI combines task planning, coding, memory and retrieval in a multi-agent framework. Potential use: Study execution loops and state handling before designing an agent runtime. This suggests an integration pattern; suitability depends on your tools and constraints. Before integrating it, check permissions against your requirements in a small controlled test.
Study execution loops and state handling before designing an agent runtime.
messagegabrielhere-lgtm/doomcon
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50-WORD AI EDITORIAL SUMMARY
SIREN publishes an AI-activity index with hash-linked receipts and a documented method. Potential use: Compare documented approaches before choosing components for agent-assisted development. This suggests an integration pattern; suitability depends on your tools and constraints. Before considering unattended use, check platform compatibility against your requirements in a small controlled test.
Compare documented approaches before choosing components for agent-assisted development.
metask-ai/metacodes
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Meusehorseradishroot8810/edge-browser-agent
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mfittko/dev-loops
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mhlaghari/stuntman
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50-WORD AI EDITORIAL SUMMARY
Stuntman separates planning and review from execution across models in a coding-agent harness. Potential use: Study execution loops and state handling before designing an agent runtime. This suggests an integration pattern; suitability depends on your tools and constraints. Before adoption, check permissions against your requirements in a small controlled test.
Study execution loops and state handling before designing an agent runtime.
mhrj7/TrustBench-AI
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michael-borck/hands-on-ai
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microsoft/EvalsforAgentsInterop
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milind-soni/OpenMausBot
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Minato95-ayu/INTENT-TO-SILICON
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Mingbird/Mingbird-agent
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50-WORD AI EDITORIAL SUMMARY
Mingbird Agent provides a Windows and Ollama harness aimed at smaller local models, with published benchmark material. Potential use: Study execution loops and state handling before designing an agent runtime. This suggests an integration pattern; suitability depends on your tools and constraints. Before integrating it, check permissions against your requirements.
Study execution loops and state handling before designing an agent runtime.
mishan/shotbox
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mixpeek/amux
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mmsearch-plus/MMSearch-Plus
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Mnemosyne-OS/Mnemosyne-Neural-OS
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Mng-dev-ai/agentrove
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50-WORD AI EDITORIAL SUMMARY
Agentrove provides a self-hosted coding workspace with multiple agent personas and sandboxed agent sessions. Potential use: Connect operator tasking to tools while preserving permission boundaries. This suggests an integration pattern; suitability depends on your tools and constraints. Before integrating it, check permissions against your requirements in a small controlled test.
Connect operator tasking to tools while preserving permission boundaries.
moghtech/lib
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Mohamad-Hachem/LangChain_Agent_Evaluation_System
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mohamedhabila/Kavi
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AI EDITORIAL SUMMARY
Kavi is a mobile-first AI assistant for iOS and Android with agentic workflows, on-device AI models, and remote work tooling. Its documented features include answering questions, researching topics, managing reminders and calendar events, working with selected photos, sharing content and remembering preferences across conversations. It supports configured connections to GitHub, browsers and remote tools. Its tool contracts, state handling and outcome evaluations offer agentic development references. User guide
1 star · 0 forks · 0 watchers. Figures checked 11 October 2026.
MohammadFayasKhan/LpuUmsAgent
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mojolearn/mojolearn
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morethanrealio/brambit
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MoRiv447/Firment
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morluto/rea
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mpieniak01/Venom
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mrdummy550/gnap
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50-WORD AI EDITORIAL SUMMARY
GNAP coordinates agents using Git and JSON records without requiring a dedicated coordination server. Potential use: Coordinate task handoffs with explicit responsibilities and review points. This suggests an integration pattern; suitability depends on your tools and constraints. Before integrating it, check permissions against your requirements in a small controlled test.
Coordinate task handoffs with explicit responsibilities and review points.
mrkhachaturov/agent-harness-docs
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mrnicholasbcarter-code/verdict-core
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MrPeppersDev/agent-infrastructure-landscape
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mrsladoje/sweet-search
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mrveiss/AutoBot-AI
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mschmdb/navigator-berlin
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mugil0095/Verity-RAG
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Muizzkolapo/agent-actions
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muneebkhan08/Cuse
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muratceme/data-consulting-workbench
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musharna/data-aggregator-mcp
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50-WORD AI EDITORIAL SUMMARY
Data Aggregator MCP normalizes research datasets and literature acquisition behind an MCP interface. Potential use: Supply relevant context to agents while preserving provenance and access boundaries. This suggests an integration pattern; suitability depends on your tools and constraints. Before adoption, check permissions against your requirements in a small controlled test.
Supply relevant context to agents while preserving provenance and access boundaries.
Muvon/octomind
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n0mad-ai/bastra-recall
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nadezhdkov/claude-toolkit
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Nanboy-Ronan/awesome-medical-imaging-agents
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nano-muse/nanoMuse
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50-WORD AI EDITORIAL SUMMARY
NanoMuse presents a personal agent across devices with continued work, memory and confirmation for consequential actions. Potential use: Connect operator tasking to tools while preserving permission boundaries. This suggests an integration pattern; suitability depends on your tools and constraints. Before considering unattended use, check permissions using a small controlled test.
Connect operator tasking to tools while preserving permission boundaries.