Frameworks
Fluent in every major agent stack
The agent landscape has consolidated around a handful of serious frameworks. We work with all of them — and recommend the one that fits your cloud, your compliance requirements and your team. Not our favorite.
Microsoft Copilot Studio & M365 Agents
Custom copilots and declarative agents where your team already works — grounded in your enterprise knowledge, governed and evaluated.
Microsoft Agent Framework & Foundry
The successor to Semantic Kernel and AutoGen. We build production agents on it — and migrate existing codebases before the debt compounds.
LangChain & LangGraph
Durable, resumable agent graphs with checkpoints and human-in-the-loop interrupts — evaluated and observed with LangSmith.
OpenAI Agents SDK
Long-horizon, computer-using agents in controlled sandboxes on the OpenAI model stack.
Claude Agent SDK
The harness behind Claude Code — for deeply tool-integrated agents with files, shell, web and MCP as first-class citizens.
Google ADK & AWS AgentCore
Agent development kits and managed runtimes from Google and AWS — including A2A-based multi-agent systems across vendor boundaries.
CrewAI & Pydantic AI
Role-based multi-agent crews and strongly-typed single agents with durable execution — the pragmatic Python end of the spectrum.
LlamaIndex & n8n
Agentic document workflows and low-code automation with embedded agents — self-hostable and data-residency friendly.
BITS Agent Layer
Our own thin layer on top of these runtimes: MCP-first connectors, guardrails, memory, tracing and approval flows — portable, not proprietary.
Which build path?
The right platform is decided by where the AI should live and what your team can maintain — not by what a vendor demo looked like.
fig. 01 — build pathcyan: question · blue: route · gold: note
Your team lives in Microsoft 365 — Copilot Studio and declarative agents put the assistant where the work already happens, with governance and evaluation built in.
It's your own product or backend — go pro-code: Microsoft Agent Framework on .NET, LangGraph and the vendor SDKs on Python or TypeScript.
It's process automation across many tools — workflow platforms like n8n plus MCP connectors get you value fastest, and stay self-hostable.
Several of these at once — the A2A protocol lets agents from different stacks cooperate instead of competing.
Already on an aging stack?
The framework market consolidated hard — several popular stacks are now in maintenance mode. We migrate before the technical debt compounds.
Semantic Kernel / AutoGen
Both are in maintenance mode. We move your agents to their official successor, Microsoft Agent Framework — with behavior parity tests.
LangChain 0.x
Legacy chains and AgentExecutor are deprecated. We migrate to the stable 1.x agent architecture with middleware and checkpoints.
Framework exit strategy
Whatever comes next: because we build on MCP, A2A and OpenTelemetry, your connectors, contracts and telemetry outlive any single framework.
Not sure which stack fits?
Bring your constraints — cloud, compliance, team skills. We route you through the decision tree honestly, in one conversation.