Charon
SoftwareAgents

The agent interface for your software

Make your software work for agents.

Charon builds the semantic interfaces that let ChatGPT, OpenClaw, and other AI agents understand, plan, and operate your product quickly and reliably.

Become a design partnerView the benchmark

Built on top of your existing APIs, SDKs, and internal capabilities.

Your API was built for developers. Agents use it differently.

Traditional APIs describe endpoints and data structures. Agents need to understand what operations accomplish, how they compose, what can go wrong, and whether the intended outcome was actually achieved.

01

Excessive round trips

Agents repeatedly reason, call one operation, wait, and then reason again.

02

Poor semantic context

Schemas describe valid syntax without fully expressing intent, dependencies, or side effects.

03

Rigid tool surfaces

Fixed wrappers can hide useful capabilities and restrict how an agent solves a task.

04

No outcome verification

A successful API response does not prove that the user’s objective was completed correctly.

Same model. Same prompt. Different interface.

Up to

50%

time saved

Up to

150%

accuracy gained

Up to

75%

fewer tool calls

See the full comparison in Past cases.

One semantic control layer. Every major agent.

Charon turns the capabilities already inside your software into an interface that agents can discover, compose, execute, and verify.

  1. Discover

    Map the relevant operations, constraints, permissions, and dependencies.

  2. Plan

    Let the agent choose and compose the capabilities needed for the objective.

  3. Execute

    Validate and batch operations close to the underlying software.

  4. Verify

    Inspect the resulting state and confirm that the intended outcome was achieved.

Integrate once. Support agents everywhere.

The underlying semantic model and execution layer remain shared. Charon adapts discovery, authentication, permissions, and responses to each agent environment.

  • ChatGPT
  • OpenClaw
  • Codex
  • Claude
  • Local agents
  • Future agent clients

Make your product agent-ready today.

Apply as a design partner

Design partners receive

  • An analysis of capability gaps, unnecessary round trips, and security risks.
  • A semantic interface designed around measurable task completion.
  • A benchmark of important workflows through their current agent interface.
  • Compatibility testing across several agent environments.