Everything you need to operate enterprise AI.
Five core modules. One operating layer. Orchestration, agents, retrieval, observability, and governance — built to interoperate from day one.
One operating layer. Every AI workload.
Stop stitching together vendors. Deepstack ships the full enterprise AI stack — orchestration, agents, RAG, observability, and governance — as a single, observable platform.
Model Orchestration
One control plane for every model — OpenAI, Claude, Gemini, local models, and open-source LLMs. Route, fall back, cache, and version across vendors.
- OpenAI + Claude
- Gemini + Llama
- Local + OSS
- Multi-model routing
Agent Infrastructure
Production-grade runtime for AI agents — workflow chains, persistent memory, tool execution, and coordinated multi-agent systems.
- AI agents
- Workflow chains
- Memory systems
- Tool + multi-agent
Neural Search / RAG
End-to-end retrieval for grounded AI — vector search, semantic retrieval, embedding pipelines, and context engineering at enterprise scale.
- Vector search
- Semantic retrieval
- Embeddings
- Context engineering
AI Observability
See every prompt, span, and dollar. Track latency, hallucinations, failures, token usage, and cost across every model and workflow.
- Prompts + traces
- Latency + failures
- Hallucination evals
- Tokens + spend
Enterprise Governance
Centralized policy, permissions, audit logs, and AI compliance controls — with deployment guardrails for regulated environments.
- Permissions + RBAC
- Audit logs
- AI policies
- Compliance + deploy
One API. Any model. Any agent.
A single endpoint routes to the right model with policy-aware fallback. The SDK turns it into agents in a few lines.
curl https://api.deepstack.dev/v1/route \
-H "Authorization: Bearer $DEEPSTACK_KEY" \
-H "Content-Type: application/json" \
-d '{
"task": "reasoning",
"messages": [{ "role": "user", "content": "Summarize Q3 earnings." }],
"policy": { "max_cost_usd": 0.02, "max_latency_ms": 2000 },
"fallback": ["gpt-4o", "claude-3.5-sonnet", "llama-3.1-405b"]
}'import { Deepstack } from "@deepstack/sdk";
const ds = new Deepstack();
const agent = ds.agent({
tools: [searchDocs, runSQL, sendEmail],
retrieval: { index: "company-kb", topK: 8 },
observability: { trace: true, evals: ["faithfulness"] },
});
const result = await agent.run("Draft the investor update.");The neural infrastructure layer is ready.
Free to start. Production-grade by default. Built for the systems you'll ship tomorrow.