The thinking layer
for autonomous agents
DeepThought is the orchestration platform that gives your AI agents reasoning, persistent memory, and the ability to collaborate—so they don’t just execute, they think.
Everything agents need to think
A complete runtime for building agents that reason through complex tasks, use tools, remember context, and work together.
Multi-Agent Orchestration
Define agent teams with specialized roles. DeepThought handles delegation, message passing, consensus, and conflict resolution—so your agents collaborate like a well-run team, not a shouting match.
Deep Reasoning Engine
Chain-of-thought, tree-of-thought, and reflective reasoning patterns out of the box. Agents don’t just respond—they deliberate.
Persistent Memory
Short-term, long-term, and episodic memory layers. Agents recall past interactions, learn from mistakes, and build context over time.
Universal Tool Use
Connect any API, database, or service as a tool. Agents autonomously decide when and how to use them with built-in safety guardrails.
Guardrails & Observability
Full execution tracing, cost tracking, and configurable safety boundaries. See exactly what your agents are thinking and why.
Deploy Anywhere
Run on our managed cloud, your own infrastructure, or at the edge. Agents scale horizontally with zero config.
From zero to thinking agents
in three steps
No PhD required. Define your agents, give them tools, and let DeepThought handle the hard part.
Define Your Agents
Describe your agents in plain language or code. Set their roles, capabilities, and reasoning strategies.
Connect Tools & Memory
Plug in APIs, databases, and knowledge bases. DeepThought auto-indexes everything and makes it available to your agents.
Deploy & Observe
Launch your agents with one command. Watch them think in real-time with full execution traces and reasoning logs.
Ship agents in minutes, not months
A clean Python SDK that stays out of your way. Define agents declaratively, compose complex workflows, and let the platform handle orchestration, memory, and scaling.
Works with OpenAI, Anthropic, local models, or bring your own. DeepThought is model-agnostic by design.
from deepthought import Agent, Team, Memory
# Define a research agent
researcher = Agent(
name="researcher",
role="Find and summarize information",
tools=["web_search", "read_file"],
reasoning="chain_of_thought",
memory=Memory(type="persistent")
)
# Define a writer agent
writer = Agent(
name="writer",
role="Draft polished content",
tools=["text_editor"],
)
# Orchestrate them as a team
team = Team(
agents=[researcher, writer],
strategy="collaborate"
)
result = await team.run(
"Write a report on AI safety"
)Simple, transparent pricing
Start free. Scale when you’re ready. No surprises.
Perfect for experimenting and small projects.
- 3 agents
- 1,000 tasks/month
- Basic reasoning engine
- Short-term memory
- Community support
For teams building production-grade agent systems.
- Unlimited agents
- 50,000 tasks/month
- Advanced reasoning (ToT, reflection)
- Persistent & episodic memory
- Full observability dashboard
- Priority support
For organizations with serious agent infrastructure needs.
- Everything in Pro
- Unlimited tasks
- Self-hosted deployment
- Custom reasoning strategies
- SSO & audit logs
- Dedicated solutions engineer
Ready to build agents
that actually think?
We’re onboarding teams for our private beta. Drop us a message and we’ll get you set up.