The Ultimate Guide to Agent Development
Behind every production agent is a stack: a framework to orchestrate reasoning and tool calls, memory so it remembers context, observability to see what it did, and infrastructure to serve it reliably. This is the builder's toolkit.
Below you'll find agent frameworks and SDKs, development and deployment platforms, memory and vector stores, the Model Context Protocol (MCP) ecosystem, model-serving and MLOps, and the observability tools that make agents debuggable in the real world.
Agent Development by the numbers
1849
Uzskaitīti rīki
21
Kategorijas
98%
Bezmaksas vai freemium
295
Ar lietotāju atsauksmēm
Cenu struktūra
Bezmaksas 1725Freemium 87Maksas 14Kontakts 23
Lielākā kategorija: Skills (967 rīki).
Types of Agent Development tools
- Skills967 rīki
- MCP Servers593 rīki
- AI Agents Frameworks73 rīki
- AI Agent Development Platforms53 rīki
- AI Agent Development Frameworks38 rīki
- Agent Development25 rīki
- AI Infrastructure & MLOps24 rīki
- Observability20 rīki
- Edge AI10 rīki
- Model Serving8 rīki
- Model Context Protocol (MCP)7 rīki
- Agent Observability Tools6 rīki
- AI Model Serving Platforms5 rīki
- Blockchain Agent Frameworks5 rīki
- AI Agent Memory4 rīki
- Development Framework Agent4 rīki
- Agent Memory2 rīki
- Memory2 rīki
- AI Framework1 rīki
- Data Integration Agents1 rīki
- Sandboxes1 rīki
Featured Agent Development tools
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2

Wildcard AI / agents.json
Open spec and platform that lets AI agents discover and call API workflows through an agents.json file.
3L
Letta
Framework for building stateful AI agents with long-term memory and continuous learning.
5.0 (6)
· AI Agent Memory4

KeywordsAI
Unified developer platform for building, monitoring, and scaling LLM applications.
5.0 (6)
· Observability5

Ceramic.ai
An AI infrastructure platform optimizing large-scale model training with enhanced efficiency and scalability.
Popular Agent Development tools
The top tools across all Agent Development categories.






