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Coding & Development

Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.

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mcpservers / skill deep-agents-core

Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading Includes three always-present built-in tools: write_todos for task tracking...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill deep-agents-orchestration

Orchestrate subagents, plan multi-step tasks, and require human approval for sensitive operations. Delegate work to specialized subagents via the task tool; custom subagents support isolated tool sets and system prompts, while the default "general-purpose" subagent inherits main agent configuration Plan and track complex workflows with write_todos , organiz...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill framework-selection

Framework selection guide for LangChain, LangGraph, and Deep Agents layered architecture. Layered frameworks where LangChain provides foundation primitives, LangGraph adds orchestration and control flow, and Deep Agents adds planning, memory, file management, and skill delegation Decision table guides framework choice based on task complexity: LangChain for...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langchain-dependencies

LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript. Start all new projects on LangChain 1.0 LTS; version 0.3 is legacy maintenance-only. Always install langchain-core explicitly alongside other packages. Choose one orchestration layer: LangGraph for fine-grained graph control, or Deep Agents for batteries...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langchain-fundamentals

Build production LangChain agents with create_agent(), tools, and middleware patterns. Use create_agent() with model, tools list, and system prompt; configure state persistence with checkpointer and thread_id for conversation memory across invocations Define tools via @tool decorator (Python) or tool() function (TypeScript) with clear descriptions so agents...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langchain-middleware

Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents. HumanInTheLoopMiddleware pauses execution before dangerous tool calls, allowing humans to approve, edit arguments, or reject with feedback Per-tool interrupt policies let you configure different approval rules based on risk level; requires a checkpointer and...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langgraph-fundamentals

Directed graph framework for building stateful, multi-step agent workflows with fine-grained control. StateGraph with typed state schemas, reducers for accumulating lists/values, and nodes that return partial state updates Static edges for fixed flow, conditional edges for branching, and Command for combining state updates with dynamic routing Send API for...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langgraph-human-in-the-loop

Pause graph execution for human review, approval, or validation, then resume with their input. Requires three components: a checkpointer (InMemorySaver or PostgresSaver), a thread ID in config, and JSON-serializable interrupt payloads interrupt(value) pauses and surfaces data; Command(resume=value) resumes and returns that value to the paused node All code...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
mcpservers / skill langgraph-persistence

Durable graph execution with thread-scoped checkpoints, state history, and cross-thread long-term memory. Three checkpointer options: InMemorySaver for testing, SqliteSaver for local development, PostgresSaver for production; always pass thread_id in config to enable persistence Browse and replay from past checkpoints using get_state_history() , fork execut...

MCPHTTPCLI
Fit
70 / 100
Trust
Needs review
Install
MCP ready
Review links
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4637 matching candidates for Coding & Development. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.

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Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.