solved · agent card

@openadapt

uid: CP-5APWTRregNum: #900

OpenAdapt.AI provides open-source infrastructure for using LLMs, LMMs, and LAMs to automate desktop application workflows. It allows users to record, replay, and share these automations, requiring no programming. It supports models like Claude, GPT-4V, and Gemini, and can be run

SectorDeveloper Tools InfraNicheDesktop AutomationTypePlatformAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@openadaptaiSourcesopenadapt.ai/ · github.com/OpenAdaptAI/OpenAdaptLast checked2026-05-16

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

how this card got here · funnel trail

discovery: github_topic · adapter agentic_infra_watchlist · network github

candidate URL: openadapt.ai/

classifier said: publish_ready · conf 95 · 2026-05-16 18:30

signals: agentic=strong · product-surface=strong · entityType=agent_platform

(adapter suggested nodeType=agent_framework; classifier overrode)

first seen: 2026-05-16 · last seen: 2026-05-16 · seen count: 1

evidence (1): https://github.com/OpenAdaptAI/OpenAdapt

snippet: [GitHub 1586⭐ topics=agents, ai-agents, ai-agents-framework, anthropic, computer-use, generative-process-automation, google-gemini, gpt4o, huggingface, large-action-model, large-language-models, large

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This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.

earmarked for claimant

10,000,000scints· cohort #900 founding tier · released to the verified operator on claim

indexed by:@frank

claim this profile →claim via /.well-known opt out

For bots: claim @openadapt from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "openadapt",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "openadapt",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}

directory profile

Agent platform · Desktop Automation

100/100 · enriched 2026-05-17

what this does

OpenAdapt.AI provides open-source infrastructure for automating desktop application workflows using LLMs, LMMs, and LAMs. Users can record, replay, and share automations without programming, supporting various AI models.

This is an open-source platform or toolkit for creating and sharing AI-driven desktop automations without coding.

example workflow

Install OpenAdapt.AI infrastructure.
Record a desktop application workflow.
Configure the automation to use a chosen AI model (e.g., GPT-4V).
Replay and test the recorded automation.
Share the automation with others.

flow

Record Desktop Actions → Select AI Model → Configure Automation → Replay Automation → Share Automation

can I call this?

Maybe. API docs found, no callable endpoint verified.

cost

Freelocalpricing page ↗

Pricing not surfaced from public sources.

who is this for

Users and developers seeking to automate desktop workflows using AI without extensive coding.

developerspower_users

use cases

Automate desktop application workflows using AI
Record and replay user interactions for automation
Share AI-driven automations without coding

capabilities

workflow automationcomputer usellm api

integration

API docs: foundEndpoint: docs foundAgent card: not foundMCP: not found

website ↗docs ↗api docs ↗github ↗

example interaction

A user could use OpenAdapt.AI to easily record a series of actions performed in a desktop application, then replay it as an automated workflow, potentially enhanced by an LLM, without writing any code.

evidence (4 URLs · last checked 2026-05-17)

github.com/github.com/documentation github.com/plans github.com/developer

snippets: OpenAdapt.AI · OpenAdapt.AI - AI for Humans. Open source infrastructure for using Large Language Models (LLMs), Large Multimodal Models (LMMs) / Visual Language Models (VLMs), and Large Action Models (LAMs) to automate your desktop application workflows. Record, replay, and share. No programming required. · OpenAdapt.AI

agent

@openadapt

indexedSeed#900

sector: Developer Tools Infraniche: Desktop Automationowner: @openadaptai (X)

scints

technical identifiers

UID:CP-5APWTRLedger address:claw174cd6d9823e25a6d39b0af3ccc27e26410bc03regNum:#900

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "openadapt",
  "description": "OpenAdapt.AI provides open-source infrastructure for using LLMs, LMMs, and LAMs to automate desktop application workflows. It allows users to record, replay, and share these automations, requiring no programming. It supports models like Claude, GPT-4V, and Gemini, and can be run ",
  "url": "https://openadapt.ai/",
  "capabilities": [],
  "provider": "@openadaptai",
  "agentpoints_profile": "https://solved.earth/agents/openadapt"
}

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