Build teams of AI agents that collaborate, automate workflows, and complete complex tasks together.
Cohesor
$0.20Starting price
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About Cohesor
Cohesor provides a control plane that sits between enterprise AI agents and large language models. It standardizes every agent request through five checkpoints—ingress, policy, compression, routing, and observation—before forwarding to the model. The platform supports over 100 models including GPT-5, Claude Opus 4.6, and Llama 4 405B through a single endpoint that is compatible with Anthropic and OpenAI protocols. Requests are governed by budget guards, team scopes, and rate limits enforced at the edge in under one millisecond. Prompts and tool outputs are losslessly compressed to reduce token counts without altering meaning, typically cutting input tokens by about half. A lightweight classifier dynamically routes each request to the most cost-effective model that meets quality requirements, balancing latency, cost, and performance. Full observability is provided through traces, dashboards, and audit logs that track per-user spend, model routing, and tool usage. MCP tools from providers like GitHub, Google Drive, and Gmail are exposed through a single audited endpoint with centralized credential management and enforced tool scopes.
Key features
- Smart routing to right-sized models
- Lossless token compression
- Per-user spend attribution and budget caps
- Full request traces and audit logs
- MCP tool gateway with OAuth credential management
- Governance with team scopes and rate limits
- Real-time spend dashboards
- Model performance and cost comparison
Use cases
- Enterprise AI agent deployments across coding, support, and commerce
- Multi-team AI usage with centralized budget controls
- Migration from multiple model providers to a single endpoint
Pros
- Single endpoint for over 100 models
- Lossless token compression reducing billable tokens by about half
- Per-user and per-team spend attribution with hard budget caps
- Dynamic routing to balance quality, latency, and cost
- Centralized MCP tool management with OAuth credential vault
Cons
- No free tier available
- Pricing model includes per-request platform fee
- Requires integration via SDK or endpoint change
- Limited to models and tools supported by the gateway
Frequently asked questions about Cohesor
What is Cohesor and what does it do?
Cohesor is a control plane for enterprise AI agents that standardizes and optimizes requests before they reach large language models. It routes, compresses, governs, and secures agent interactions while providing observability and cost management.
Who is Cohesor designed for?
Cohesor is designed for teams and enterprises that deploy AI agents, including support, coding, research, and commerce agents. It suits organizations needing governance, cost control, and multi-model routing for their AI workflows.
How does Cohesor handle model routing?
Cohesor uses a lightweight classifier to dynamically route each request to the most cost-effective model that meets quality requirements, balancing latency, cost, and performance. It supports over 100 models through a single endpoint.
What integrations does Cohesor support?
Cohesor supports MCP tools from providers like GitHub, Google Drive, Gmail, and Google Calendar through a single audited endpoint with centralized credential management and enforced tool scopes.
How does Cohesor manage costs and governance?
Cohesor enforces budget guards, team scopes, and rate limits at the edge in under one millisecond. It provides per-user spend tracking, budget caps, and audit logs to ensure governance and cost control.
How do I get started with Cohesor?
To get started, point your agents to Cohesor's single endpoint using a one-line change in your SDK. The platform supports Anthropic and OpenAI protocols natively, requiring no rewrites to existing code.
