Agents that close the loop, not just open the thread.

Single-shot LLM calls hit a ceiling quickly. We build autonomous agent loops — tool-calling, multi-step reasoning, memory, human-in-the-loop controls — that complete complex workflows end to end.

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agent loop · task #2847

search_knowledge_base()

returned 4 results · 142ms

draft_response()

quality_score: 0.91 · approved

await_human_approval()

routed to reviewer · SLA 4h

Task completion: 99.7%

23 tools · avg 3.4 steps/task

What we deliver

Agent architecture from tool design to production.

Tool definitions

Function schemas, input validation, secure sandboxing, and error contracts for every tool the agent calls.

OpenAI Functions · Anthropic Tools

Orchestration layer

Task decomposition, agent routing, parallel subtask execution, and result aggregation with timeout and retry logic.

LangGraph · CrewAI · AutoGen

Memory systems

Short-term context window management, long-term key-value and vector stores, and memory compression strategies.

Redis · pgvector · Mem0

Human-in-the-loop

Approval gates, escalation triggers, audit trail, and interrupt/resume semantics so humans stay in control of critical decisions.

Temporal · LangGraph interrupts

Error recovery

Retry logic, partial success handling, dead-letter queues, and fallback agent strategies that keep jobs completing.

circuit breaker · backoff · DLQ

Multi-agent systems

Supervisor-worker hierarchies, specialist sub-agents, inter-agent communication, and shared state management.

CrewAI · AutoGen · LangGraph

Our approach

Build the tools before you build the agent.

Task decomposition

We map the full workflow, identify decision points, required tools, and where human judgment must stay in the loop.

Tool scaffolding

Build, test, and validate each tool independently before wiring it to an agent. Tools are the agent's reliability floor.

Loop evaluation

Run the agent against a suite of real tasks. Measure completion rate, step count, and failure modes before production.

Production gates

Human review checkpoints, output validation, cost caps, and observability dashboards ship alongside the agent — not after.

Frameworks & tools we build with

LangChainLangGraphCrewAIAutoGenOpenAI FunctionsAnthropic Tool UseTemporalRediscustom frameworks

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Ready to automate a complex workflow end to end?

No SDR, no discovery-call gauntlet. A senior AI practitioner personally reviews every submission and replies within one business day.

Tool definition, sandboxing & schemas

Multi-agent orchestration & memory

Human-in-the-loop approval gates

Error recovery & production observability

Direct contact

Use the contact form

(202) 903-9000