#python #agentic_ai #agents #memory
Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production.
https://github.com/vectorize-io/hindsight
Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production.
https://github.com/vectorize-io/hindsight
GitHub
GitHub - vectorize-io/hindsight: Hindsight: Agent Memory That Learns
Hindsight: Agent Memory That Learns. Contribute to vectorize-io/hindsight development by creating an account on GitHub.
#python #agent #agentic_rag #ai_agents #clawbot #context_database #context_engineering #filesystem #llm #memory #openclaw #opencode #rag #skill
OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+.
https://github.com/volcengine/OpenViking
OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+.
https://github.com/volcengine/OpenViking
GitHub
GitHub - volcengine/OpenViking: OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw).…
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 th...
#html #agentic_engineering #best_practices #claude_ai #claude_code #vibe_coding
To master Claude Code effectively, create a CLAUDE.md file that documents your project's overview, key commands, coding standards, and workflows. This file prevents Claude from repeatedly scanning your codebase and ensures consistent behavior across sessions. Include hooks that automatically format code and run type checks after edits, and organize instructions into commands, agents, and skills for different tasks. Keep your CLAUDE.md concise—under 200 lines—since overly long files cause Claude to ignore important rules. Use plan mode before implementation, write detailed specs to reduce ambiguity, and leverage subagents for parallel work to maintain a clean main context. The benefit: you'll accelerate development speed while maintaining code quality and consistency, allowing Claude to work more autonomously with fewer corrections needed.
https://github.com/shanraisshan/claude-code-best-practice
To master Claude Code effectively, create a CLAUDE.md file that documents your project's overview, key commands, coding standards, and workflows. This file prevents Claude from repeatedly scanning your codebase and ensures consistent behavior across sessions. Include hooks that automatically format code and run type checks after edits, and organize instructions into commands, agents, and skills for different tasks. Keep your CLAUDE.md concise—under 200 lines—since overly long files cause Claude to ignore important rules. Use plan mode before implementation, write detailed specs to reduce ambiguity, and leverage subagents for parallel work to maintain a clean main context. The benefit: you'll accelerate development speed while maintaining code quality and consistency, allowing Claude to work more autonomously with fewer corrections needed.
https://github.com/shanraisshan/claude-code-best-practice
GitHub
GitHub - shanraisshan/claude-code-best-practice: from vibe coding to agentic engineering - practice makes claude perfect
from vibe coding to agentic engineering - practice makes claude perfect - shanraisshan/claude-code-best-practice
#typescript #agentic_coding #ai_agents #automation #claude #claude_code #multi_agent_systems #oh_my_opencode #opencode #parallel_execution #vibe_coding
oh-my-claudecode (OMC) is a free plugin that supercharges your Claude Code with multi-agent teams, autopilot building, and natural language commands like `/team 3 build a REST API`. Install via marketplace, run `/setup`, and it auto-orchestrates 32 agents for planning, coding, verifying, and fixing—saving 30-50% on costs with smart routing. You benefit by coding 3-5x faster without learning curves, handling complex tasks automatically, and getting persistent results with real-time visibility.
https://github.com/Yeachan-Heo/oh-my-claudecode
oh-my-claudecode (OMC) is a free plugin that supercharges your Claude Code with multi-agent teams, autopilot building, and natural language commands like `/team 3 build a REST API`. Install via marketplace, run `/setup`, and it auto-orchestrates 32 agents for planning, coding, verifying, and fixing—saving 30-50% on costs with smart routing. You benefit by coding 3-5x faster without learning curves, handling complex tasks automatically, and getting persistent results with real-time visibility.
https://github.com/Yeachan-Heo/oh-my-claudecode
GitHub
GitHub - Yeachan-Heo/oh-my-claudecode: Teams-first Multi-agent orchestration for Claude Code
Teams-first Multi-agent orchestration for Claude Code - Yeachan-Heo/oh-my-claudecode
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#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension
Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.
https://github.com/zilliztech/claude-context
Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.
https://github.com/zilliztech/claude-context
GitHub
GitHub - zilliztech/claude-context: Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. - zilliztech/claude-context
#python #agentic_aigc #video_generation
ViMax is an AI tool that can turn an idea, story, novel, or script into a video by itself. It helps with writing the script, planning scenes, choosing reference images, keeping characters consistent, and making the final video. This saves time and makes video creation easier for you, especially if you want to make videos without doing all the technical work.
https://github.com/HKUDS/ViMax
ViMax is an AI tool that can turn an idea, story, novel, or script into a video by itself. It helps with writing the script, planning scenes, choosing reference images, keeping characters consistent, and making the final video. This saves time and makes video creation easier for you, especially if you want to make videos without doing all the technical work.
https://github.com/HKUDS/ViMax
GitHub
GitHub - HKUDS/ViMax: "ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)" - HKUDS/ViMax
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#rust #agentic_coding #ai_coding #anthropic #claude_code #cli #command_line_tool #cost_reduction #developer_tools #llm #open_source #productivity #rust #token_optimization
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
GitHub
GitHub - rtk-ai/rtk: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies - rtk-ai/rtk
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#python #agentic_ai #agentic_workflow #agents #function_calling #llama_cpp #llamafile #llm #ollama #python #self_hosted #tool_calling
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
GitHub
GitHub - antoinezambelli/forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows - antoinezambelli/forge
#javascript #agent_orchestration #agent_skills #agentic_ai #agentic_workflow #ai_agents #ai_automation #babysitter #claude_code #claude_code_skills #claude_code_workflows #claude_skills #claude_workflows #codex_plugin #codex_skills #codex_workflow #hermes_plugin #pi_extension #trustworthy_ai #vibe_coding
Babysitter is a tool that helps you run AI coding work in a strict, step-by-step way, with checks, approvals, and a full log of every decision. It can save you time, reduce mistakes, and make complex tasks easier to control because it keeps the process deterministic, resumable, and easier to audit.
https://github.com/a5c-ai/babysitter
Babysitter is a tool that helps you run AI coding work in a strict, step-by-step way, with checks, approvals, and a full log of every decision. It can save you time, reduce mistakes, and make complex tasks easier to control because it keeps the process deterministic, resumable, and easier to audit.
https://github.com/a5c-ai/babysitter
GitHub
GitHub - a5c-ai/babysitter: Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks…
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration - a5c-ai/babysitter
#other #agent_skill_repository #agent_skills #agentic_skills #claude_code_marketplace #claude_code_plugins #claude_cowork_plugin #product_management
PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI.
https://github.com/phuryn/pm-skills
PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI.
https://github.com/phuryn/pm-skills
GitHub
GitHub - phuryn/pm-skills: PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution…
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth. - phuryn/pm-skills
#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production
OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.
https://github.com/calesthio/OpenMontage
OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.
https://github.com/calesthio/OpenMontage
GitHub
GitHub - calesthio/OpenMontage: World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent…
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. - calesthio/OpenMontage
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#other #agentic_ai #coding #llm #long_horizon
GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.
https://github.com/zai-org/GLM-5
GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.
https://github.com/zai-org/GLM-5
GitHub
GitHub - zai-org/GLM-5: GLM-5: From Vibe Coding to Agentic Engineering
GLM-5: From Vibe Coding to Agentic Engineering. Contribute to zai-org/GLM-5 development by creating an account on GitHub.