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12129matching public profiles
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Show 6 more matches on this pageAdditional candidates stay folded for scanning; agents.json and the card resource links keep the full review path.
D
70fit
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...

mcpserversskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
D
70fit
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...

mcpserversskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
L
70fit
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...

mcpserversskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
L
70fit
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...

mcpserversskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
L
70fit
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...

mcpserversskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
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