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    AI agent development ecosystem

    The tools behind our AI agent development — and the decisions behind them.

    Implement Agentic is deliberately model- and vendor-neutral. We picked these partners because each represents a defensible choice in its category. MCP keeps every layer swappable.

    Foundation models

    Model-neutral by design. We pick the model that fits the workflow's latency, cost and reasoning needs.

    • Anthropic Claude (Opus 4.7, Sonnet 4.6, Haiku 4.5)

      Production-grade default for agentic workflows. Native Skills, Agent SDK and filesystem memory.

    • OpenAI GPT-5.4 / Codex

      Best ChatGPT integration and Frontier deployment platform.

    • Google Gemini 2.5 / 3 Pro

      Long context (up to 10M experimental, 2M production), strong multimodal.

    • Meta Llama 4 / Mistral / DeepSeek V4

      Open-weight tier for self-hosted, regulated deployments.

    Agent frameworks

    LangGraph as the outer orchestrator wrapping CrewAI inner crews is our default production pattern.

    • LangGraph v1+

      Production winner. Explicit state, time-travel debugging, MCP nodes first-class.

    • Anthropic Claude Agent SDK + Skills + Managed Agents

      Sandboxed agent harness with filesystem memory.

    • OpenAI Agents SDK

      Clean handoff model with built-in tracing.

    • CrewAI

      Fastest prototyping with role-based DSL; A2A protocol support.

    • Microsoft Agent Framework

      AutoGen + Semantic Kernel unified for Microsoft-stack clients.

    • Google ADK

      A2A-native, Vertex AI tight integration.

    Unified Work-AI platforms

    Where the workflow is horizontal, we deploy and customize a turnkey suite instead of rebuilding.

    • Glean

      Permissions-aware enterprise search + agents. Single-tenant deployment available.

    • Microsoft 365 Copilot

      Deepest M365 integration via Microsoft Graph.

    • Notion 3.0

      Workspace-native agents, MCP-first, Custom Agents and Canvas.

    • Dust

      Model-agnostic, mid-market sweet spot.

    • Salesforce Agentforce 360

      CRM-native agents with Atlas Reasoning Engine and Agent Script.

    • ServiceNow AI Agents + AI Control Tower

      Multi-vendor agent governance.

    • Atlassian Rovo

      Bundled with Confluence/Jira.

    • Palantir AIP / Foundry

      Ontology-centric decision intelligence.

    Ingestion & document parsing

    We choose parsers based on format complexity, regulatory needs and where data must reside.

    • Unstructured.io

      Broadest format coverage. Open source + hosted Platform, SOC 2 Type 2.

    • LlamaParse

      Vision-based, best for tables. SOC 2 + HIPAA + GDPR.

    • Reducto

      Citation-grade extraction. On-prem option, HIPAA, zero data retention.

    • Docling

      Open source, strong for ESG/finance hierarchical docs.

    • Fivetran / Airbyte / Estuary

      ELT/ETL connectors. Airbyte preferred for self-host and data residency.

    Vector & retrieval

    pgvector first; migrate later only when QPS, scale or filter complexity force it.

    • pgvector

      Default for <5M vectors. ACL filtering in the same SQL plane.

    • Qdrant

      Rust-based, strongest filtered-search performance at 10M+ vectors.

    • Pinecone

      Managed zero-ops, fastest time-to-production.

    • Weaviate

      Hybrid vector+keyword in one query, multi-tenant.

    • Milvus / Zilliz

      Billion-scale retrieval.

    Knowledge graph & GraphRAG

    Used selectively for multi-hop reasoning, entity-rich corpora and explainability via traceable paths.

    • Neo4j

      Most mature graph DB. Native MCP integration in Microsoft Agent Framework.

    • Microsoft GraphRAG / LazyGraphRAG

      Open source. LazyGraphRAG cuts indexing cost ~1000×.

    • Stardog / TigerGraph / GraphAware

      Enterprise graph platforms.

    Meeting intelligence

    Capture is the first stage of the closed loop. We pick the recorder that matches privacy and integration needs.

    • Granola

      Bot-free Mac/iOS, on-device, MCP-native — Implement Agentic's default.

    • Fireflies

      Broadest 90+ integrations, best for cross-team archive.

    • Fathom

      Generous free tier, bot-free Mac capture.

    • Gong

      Enterprise revenue intelligence and deal coaching.

    • Read.ai / Otter

      Cross-channel synthesis / transcription baseline.

    Observability & evaluation

    Pick by deployment model: self-host (Langfuse), CI-first (Braintrust), LangChain-native (LangSmith).

    • Langfuse

      Open source, self-hostable. Default for regulated client work.

    • LangSmith

      Deepest LangChain/LangGraph integration.

    • Braintrust

      Eval-first CI/CD blocking; 1M free spans/month.

    • Arize Phoenix / AX

      OpenTelemetry-native. Strong for combined ML + LLM teams.

    • Helicone / Latitude / LangWatch

      Lightweight proxy / issue lifecycle / prompt optimization.

    Protocol & governance

    MCP is our portability anchor. Permission enforcement is non-negotiable for client work.

    • Model Context Protocol (MCP)

      Donated to Linux Foundation's Agentic AI Foundation. Native across Anthropic, OpenAI, Google, AWS, Microsoft, Glean, Notion, Salesforce.

    • OpenFGA / SpiceDB

      ReBAC permission enforcement at the retrieval layer.

    • Microsoft Entra / Azure AI Search

      POSIX-style ACLs in vector search.

    Not sure which tools fit your AI agent development project?

    Our two-week Readiness Assessment gives you a tool-by-tool recommendation tied to your data, permissions and KPIs. See our build vs buy framework for the decision logic.

    Book a free call