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Custom AI Agents

Bespoke Agents Built for Your Workflows

When off-the-shelf isn't enough. We build custom agentic solutions with LangGraph, Pydantic AI, Letta, and AutoGen — designed for your specific workflows and integrated with your systems.

The Right Framework for the Job

We're framework-pragmatic, not framework-religious. We select the best tool for your specific requirements.

LangGraph

Complex multi-step reasoning with stateful workflows. Best for agents that need branching logic, human-in-the-loop, and persistent state.

Best for: Multi-step workflows, complex decision trees, stateful agents

Pydantic AI

Type-safe, structured agent development. Excellent for agents that need strict output schemas, validation, and integration with typed Python codebases.

Best for: Structured outputs, data pipelines, API-heavy integrations

Letta

Memory-augmented agents for long-running tasks. Agents that remember context across conversations and learn from interactions over time.

Best for: Long-running agents, memory-heavy tasks, persistent assistants

AutoGen

Multi-agent orchestration where multiple specialized agents collaborate to solve complex problems. Built by Microsoft Research.

Best for: Multi-agent systems, collaborative problem solving, research workflows

What We Build

Custom agents for workflows that off-the-shelf tools can't handle.

Data Pipeline Agents

Agents that extract, transform, and load data across systems — with validation, error handling, and human-in-the-loop for edge cases.

Customer Support Agents

Multi-turn conversational agents that handle complex support scenarios, access knowledge bases, and escalate intelligently.

Workflow Automation

Agents that orchestrate multi-step business processes spanning Salesforce, HubSpot, Jira, Slack, and custom APIs.

System Integration

Agents that bridge systems that don't natively talk to each other — translating data formats, handling auth, and managing state.

How We Work

5-10 weeks from requirements to production. Every agent security-tested.

1

Requirements

1 week

We map your workflow, define agent capabilities, and select the right framework for the job.

2

Architecture

1 week

Agent system design, integration plan, data flow, and permission model — documented and approved before build.

3

Build

2-6 weeks

Iterative development with weekly demos. Python-based agents with full test coverage.

4

Security Test

1 week

AgentForge security testing: scope creep, permission overreach, data leakage, and destructive action risks.

5

Deploy

1 week

Production rollout with monitoring, alerting, and documentation. Training for your team.

Every Agent. Security Tested.

Every custom agent we build goes through AgentForge pre-deployment security testing. We test for scope creep, permission overreach, data leakage, and destructive action risks — before anything reaches production.

Frequently Asked Questions

Have a Workflow That Needs an Agent?

Tell us about your use case. We'll recommend the right framework and approach.