CommitLore
Give coding agents only the Git-owned decisions, constraints, and warnings that still apply.
FableCodex
Adds evidence-backed goals, review findings, and completion gates to Codex workflows where missed steps are costly.
Finding-Unknowns Skills
13 installable agent skills that surface what you don't know before your coding agent builds it — so unknowns don't get expensive.
Claude-Mem
Persistent, searchable project memory for coding agents across sessions.
Planning with Files
Persistent disk-backed plans for coding agents that must survive context loss.
Graft Code Context Layer
Build a searchable code graph for coding agents so they spend less time and context rediscovering a repository.
Loadout Context Engine
Automatically equips coding agents with the right context and workflow for each stack, machine, or task.
Tura
An open-source agent runtime harness that replaces repetitive ReAct loops with runtime-managed command graphs, using roughly 80% fewer tokens while improving task success.
zero2Agent: Zero-to-Production Agent Engineering Tutorials
A systematic Agent engineering tutorial site for programmers, covering core mechanics, framework teardowns, hands-on projects, and deep dives into big-tech interview questions.
Headroom: The Context Compression Layer for AI Agents
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM, saving 15-20% tokens for coding agents and 60-95% for JSON, with identical answers.
PowerContext
Not only memory but a full story: keep context with your work so humans and agents can hand off and pick up where things left off.
Hello-Agents
A hands-on curriculum for learning AI-native agents, from core patterns and framework internals to complete multi-agent projects.
Parlant Conversation Control
A Python control harness for governed, traceable customer-facing AI conversations.
Spring AI Alibaba
A Java framework for orchestrating agents, workflows, and long-running stateful execution.
Haystack
A Python framework for composing controlled, production-ready LLM pipelines and agent workflows.
ACE Context Learning Engine
Turns agent feedback and execution traces into reusable strategies.
Pro Workflow
Persistent correction memory, research wikis, and quality gates for coding assistants that need to improve across sessions.
RAGFlow Context Engine
Turn complex data into retrievable, cited LLM context and agent workflows.
Agent Skills for Context Engineering
A comprehensive open collection of skills for context engineering, multi-agent architectures, and production agent systems.
Acontext
Turn agent-run learnings into readable, editable skill files.
Understanding AI Agents: Design Principles and Engineering Practice
A comprehensive open-source book with 10 chapters and 95 hands-on experiments, based on 'Agent = LLM + Context + Tools' to take you from fundamentals to production.
Puppyone
Git-native context drive for AI agents — file-level permissions, versioning, and multiple access methods.
MineContext: Proactive Context-Aware AI Partner
Capture your digital context, proactively surface insights, todos, and summaries to bring clarity and efficiency to your workflow.
AgentGuide - All-in-One AI Agent Development & Interview Guide
A JavaGuide-style AI Agent learning hub: from zero to job offer, systematic, practical, and interview-focused.