AI Agent Apps With an API

As of June 2026, AIDiveForge tracks 31 ai agent apps with an api. Curated ai agent apps with an api tracked by AIDiveForge. Listings are verified against each tool's live website and re-checked regularly.

Last updated June 10, 2026 · 31 tools

1. Adapt
The vendor describes Adapt as an autonomous business intelligence agent that connects to disconnected data sources, routes queries to optimal models, and surfaces answers directly in Slack — without requiring SQL or dashboard-building skills. For executive briefings and churn monitoring, the no-code workflow layer handles the repetitive retrieval work so analysts are not the bottleneck. The credit-based free tier lets teams validate integrations before committing. The scraped page content provided does not match the tool — it describes a travel identification app called Spotter — so specific integration names, connector counts, and workflow depth cannot be verified from the source material and are omitted here.
Paid
2. AgentZee
The platform runs six distinct agent types — text, voice, 3D avatar, analytics, media, and testing — coordinated under a single account so a lead captured by the chatbot can trigger a voice follow-up call without you manually stitching two systems together. The starter tier caps voice calls at 100 per month and analytics at 25 AI reports, which works for a small business running targeted campaigns but hits the ceiling fast for any team doing high-volume outbound. There is no self-hosted option, so your conversation data and voice recordings live on Agentzee's infrastructure — a hard stop for regulated industries or companies with strict data residency requirements. Teams that outgrow the call caps or need on-premise deployment have a real decision to make.
PaidFree Trial · 14 days
3. AnyFrame
AnyFrame lets engineering, ops, and support teams spin up agents that trigger from Slack messages, Linear tickets, or GitHub PR comments and then act — rolling back a deploy, writing tests against a diff, or navigating a billing portal without touching an API. The harness layer is swappable: Claude Code, Codex, Cursor, Gemini CLI, and others sit behind the same agent surface, so a model switch doesn't break your workflow. The SDK lets you embed that same runtime inside your own product in a few lines of code. The ceiling shows up when you need strict approval before an agent acts on production — the vendor describes autonomous execution, and teams that need a mandatory human sign-off step before every consequential action will need to build that gate themselves.
Paid
4. Autoheal
AI platform leveraging a Production Context Graph to automate alert triage, root cause investigation, and incident remediation for enterprise SRE teams.
Paid
5. Breeze Customer Agent
An AI customer service agent within HubSpot that automates conversation handling and ticket resolution across multiple channels.
PaidFree Trial · 28 days
6. Claude Code
Claude is Anthropic's AI assistant and agent platform, built around Constitutional AI training intended to reduce hallucination and harmful outputs. The extended context window handles document-heavy work that breaks shorter-context alternatives — feeding an entire codebase or legal brief into a single session is the workflow it was designed for. The agent layer, including Claude Agents and Cowork, lets it plan and run multi-step tasks, execute code, search the web, and connect to external tools via MCP connectors. The ceiling appears when you need persistent memory outside a paid tier or need to self-host for compliance — neither is available. Teams with strict data residency requirements reach that wall quickly.
Paid
7. Claude Cowork
Running on Claude Opus 4.7 with a 1M context window, Cowork operates as a desktop agent that plans multi-step tasks, takes screenshots to read your actual screen, and controls mouse, keyboard, and shell commands to execute work inside an isolated VM. It handles file organization, bulk renaming, PDF data extraction, and expense tracking without needing a human to babysit each step — the vendor states it includes self-verification logic that checks its own output before reporting back. The ceiling appears when tasks require judgment calls outside a defined scope: the agent surfaces ambiguity rather than resolving it, which means complex editorial or legal review work still needs you at the keyboard. No self-hosting option exists, so teams with strict data-residency requirements are stopped before they start.
Paid
8. Coworker AI
The platform lets agents autonomously plan and execute multi-step workflows — pulling CRM data, writing follow-up emails, creating Jira tickets, flagging churn risk — without a human approving each step. Model routing handles cost management by selecting the appropriate frontier model per task. Compliance is baked in rather than bolted on: SOC 2, GDPR, and CASA Tier 2 certifications are vendor-stated. The ceiling appears when workflow logic grows genuinely complex across five or more interdependent agents — the abstraction layer that makes setup fast is the same layer that limits what you can surgically override. Teams needing fine-grained control over agent branching logic tend to reach for code.
PaidFree Trial · 14 days
9. Dezifi
The scraped page content does not match the tool data provided: the page describes a travel identification app called Spotter, not an enterprise AI agent platform by Dezifi. No factual claims about the tool's architecture, integrations, or workflow behavior can be sourced from the available page content. Writing a grounded production review is not possible without a verified content source. Teams evaluating enterprise governance platforms should treat any listing without auditable sourcing the same way they treat an undocumented API — with caution. This entry should be reviewed and re-scraped before publication.
Paid
10. Elvex
The platform lets teams build agents with guided tooling, share them across departments via a shared agent library, and swap underlying models — Gemini, Claude, GPT, Llama, or custom — without rebuilding the agent. Governance is a first-class feature: admins apply guardrails, set permissions, and get full usage visibility before anything ships. Agents run up to 40 tool interactions per loop with conditional logic and triggers, which covers most document review, ticket routing, and research workflows. The ceiling appears when workflows require branching logic complex enough that the guided builder can't express it — at that point, teams either simplify the agent or wait for support to intervene. Elvex is cloud-only, so organizations with data residency requirements or air-gapped environments hit a hard stop before they start.
Paid
11. Elvex
Elvex is a model-agnostic agent-building platform aimed at enterprise teams. The core workflow lets non-technical employees build agents through a guided process, connect existing tools via an open connector framework, then share those agents across teams through a shared library — with admin-level permission controls and usage visibility applied across the board. The pitch is adoption at scale, not just capability at the edges. Where it strains: organizations that need deeply custom branching logic or developer-grade control will find the guided-builder model constraining before long. The vendor pairs the platform with dedicated human support — a 1:1 success partner and direct Slack or Teams access — which is the actual hedge against the adoption problem, not just the software.
Paid
12. Extella.AI
The structured tool data describes an agentic execution platform from Chariot Technologies Lab., Inc. with primitives called Rules, Concepts, and Experts — built for research automation, cross-system operations, and persistent memory across sessions. The scraped page, however, describes Spotter: a mobile app that identifies landmarks, street food, and wildlife via camera snap and saves them as travel journal entries. There is no matching factual source to ground a production review of the intended tool. Writing a listing from the validator summary alone, without page-sourced specifics on architecture, failure modes, or integration depth, would produce claims that cannot be verified.
Free
13. GroundPound AI
The scraped page content returned for this listing does not match the tool under review — the source page describes a travel-identification app, not a business operations agent platform. The structured tool data from GroundPound.ai describes an agentic system where a coordinator agent hands off to specialist sub-agents, with approval gates sitting on decisions your team hasn't pre-authorized. The vendor states self-hosting is on the roadmap but the launcher has not shipped, meaning every workflow runs on GroundPound.ai infrastructure. Teams with data-residency requirements hit that wall on day one.
Paid
14. Hermes Agent
Self-improving open-source AI agent with persistent memory, skill learning, and multi-platform access.
Free
15. Hermes Desktop
Hermes Studio is an open-source, self-hosted dashboard that wraps Hermes Agent in a control plane: task scheduling, multi-agent coordination, memory and skill management, cost tracking, and an approval gate for actions you don't want running unsupervised. The vendor describes it as MIT-licensed with no paid tiers, which means every feature ships without a paywall. The architecture assumes you are already running Hermes Agent locally — Hermes Studio is the interface, not the runtime. Teams that need cloud-hosted infrastructure or agents that run without a local Hermes Agent install will hit that wall immediately.
FreeOpen Source
16. Kimi WebBridge
The platform handles long-horizon coding tasks, parallel document research, and full-stack web generation through a coordinated swarm architecture — the vendor states K2.6 scales to 300 sub-agents running concurrently. The model weights are open-source under a Modified MIT license, so teams with strict data governance can run inference locally rather than routing sensitive payloads to a cloud endpoint. Where the friction surfaces is at the edges: the scraped interface shows a broad surface — Slides, Websites, Docs, Deep Research, Sheets, Agent Swarm, Kimi Code, Kimi Claw — and integrating any of those outputs into an existing CI/CD pipeline requires API work the UI does not abstract. Teams building beyond Kimi's native surfaces reach for the API fast.
Paid
17. Krater
The core workflow is a unified chat interface where you route requests to different models — GPT-4, Claude, Gemini, image generators, audio tools — without context-switching between platforms. Slash commands and scheduled tasks let you automate recurring generation jobs inside the same workspace. The ceiling appears when your workflow needs branching: Krater executes single-turn commands well, but it does not plan multi-step tasks or loop through tool use on its own. Teams building anything that requires a model to react to its own previous output and decide a next action will hit that wall quickly. At that point, they move to a purpose-built orchestration layer and use Krater's API access for model calls.
Paid
18. LobeHub
LobeHub lets you define a goal and have the system assemble an agent team, dispatch parallel workers across tasks, and surface results without you approving every step. The agent marketplace and skill library — reportedly over 332,000 skills and 64,000 MCP server connections — mean you're not building from scratch each time. Memory is white-box and editable, so agents don't silently drift from your preferences. Where it gets difficult: the self-hosted path requires you to manage your own infrastructure, and the complexity of multi-agent coordination means debugging a failed task chain is non-trivial. Teams running production workloads tend to add observability tooling — the Langfuse integration listed on the page suggests this is an expected pattern, not an edge case.
Paid
19. Locaible
Locaible runs AI agents entirely on your own machine: no bytes leave the device, no API calls to OpenAI or Anthropic, no telemetry. The vendor states it is GDPR and EU AI Act compliant by design, which matters when your legal or finance team needs a paper trail for the regulator, not a ToS URL. Multi-step workflows chain separate agents — one retrieves from your indexed documents, one analyses, one drafts — each running its own local model. The ceiling appears when your team scales beyond a small LAN setup: team seats authenticate over a private token and require a detected LAN IP, so distributed or remote teams hit a networking configuration wall before they hit a workflow one.
PaidFree Trial · 7 days
20. NanoClaw
NanoClaw is a lightweight, open-source personal AI agent that runs on your own machine, connects to messaging apps like WhatsApp, Telegram, Slack, Discord, and Signal, and is built around just 15 source files you can read in a single sitting.
Free
21. OpenLegion
Each agent gets its own isolated container, spend cap, and vault-proxied credentials — so a rogue agent can't drain your API budget or leak credentials to the next task in the queue. The platform deploys a coordinated fleet from a plain-English description of the function you need: a sales pipeline, a content studio, a research desk. Credential handling and per-agent budgets are locked down by default, which means you're not retrofitting security after something goes wrong. The ceiling appears when your workflow needs branching logic that the template model can't express — at that point you're describing edge cases in natural language and hoping the agent interprets them correctly. Teams with deterministic multi-step requirements often add a separate orchestration layer to compensate.
PaidFree Trial · 7 days
22. Orchestrik.ai
The scraped vendor page does not match the tool data provided. The page content describes 'Spotter,' a travel-identification app, while the structured data references an enterprise AI agent platform from ITMTB Technologies. Because the only factual source available is the Spotter page — which contains no information about multi-agent workflows, compliance features, audit trails, or backend integrations — this listing cannot be written to the publication standard required. Asserting capabilities from the structured input without page-level sourcing would violate the grounding rule. A corrected scrape of the ITMTB Technologies product page is needed before this listing can be completed accurately.
Paid
23. Owkin
K Pro is an agentic AI scientist from Owkin that autonomously traverses multimodal biomedical data — genomics, spatial multi-omics, clinical trial records, competitive intelligence — and returns ranked, evidence-grounded answers to R&D questions. The vendor states it is trained on a proprietary multimodal patient data network and continuously refined by oncologists and biologists, which means its outputs are not generic literature summaries but claims tied to patient-level evidence. For target identification or patient stratification questions, that grounding matters. Where it breaks: teams that need to interrogate their own proprietary assay data or internal compound libraries will hit the edges of what K Pro's data network covers. The platform is not self-hosted, so data residency requirements that block cloud-based analysis force a different architecture entirely.
PaidFree Trial · 180 days
24. Replit
Agent 4, Replit's current generation, runs tasks in parallel rather than sequentially — so authentication, database setup, and UI work happen at the same time instead of in a queue. The vendor describes a model where you submit requests in any order and the agent sequences them intelligently, which means a non-technical PM can iterate on a live app the way an engineering team would sprint on it. That promise holds well for greenfield apps, internal tools, and MVPs that live inside Replit's own infrastructure. The ceiling appears when you need to export the underlying code to your own hosting stack, integrate with services the platform's 100+ connectors don't cover, or take fine-grained control over architecture decisions the agent has already made on your behalf.
Paid
25. SynapCores Agent
The repo, published by SynapCores under MIT, routes all memory, retrieval, semantic tool selection, and generation through the SynapCores backend — one database as the entire brain. There is no LangChain, no separate vector store, no framework glue to audit or upgrade. The project ships a browser chat widget and a live debug sidebar so you can watch memory recall and tool routing decisions in real time. That transparency is the differentiating feature — and also the boundary: the agent's intelligence rides entirely on the SynapCores backend, whose self-hosted deployment requirements the repo does not fully document. Teams that need the backend running on-premise will hit that wall before they hit a code problem.
FreeOpen Source
26. SynthBoard.ai
The platform assembles a board of AI personas — Skeptic, CFO, Strategist, Operator, and more — that autonomously debate your brief, counter each other's claims, and produce a synthesized recommendation with a traceable audit trail. Each session is recorded, outcomes can be connected to tools like Stripe and HubSpot, and the system learns over time which calls led to which results. That feedback loop is the differentiating bet — six months of tracked decisions means the board has context that a cold consulting call never would. The wall appears when your question requires deep industry-specific compliance knowledge or live market data the board cannot access without a web search toggle. Teams needing regulatory-grade rigor or litigation-ready documentation will hit the ceiling fast.
Paid
27. Teralynk
The scraped page content does not match the tool described in the structured data — the page belongs to Spotter, a travel identification app, not Teralynk's workflow automation platform. No production details about Teralynk's agent architecture, file system integrations, MCP tool use, or governance controls can be sourced from the provided page. The vendor states a freemium model with storage limits and capped workflow runs on the free tier; paid-only features unlock higher run volumes and expanded storage. Teams evaluating this for compliance auditing or multi-cloud document workflows cannot rely on this listing for verified capability claims — vendor documentation should be consulted directly.
Paid
28. Triggered Agents by Adaptive
Adaptive lets you describe work in plain language — 'flag suspicious signup domains every morning' or 'draft weekly product updates from GitHub' — and deploys agents that loop through the steps, call connected tools, and surface results without waiting for you to click through each stage. Agents can run in parallel, so a sales pipeline workflow and a development update feed operate independently at the same time. The approval controls let you stay in the loop on sensitive steps without babysitting routine ones. Where it strains: teams with complex conditional branching across departments, or those who need fine-grained workflow versioning, will hit the ceiling of a conversational-first build surface faster than teams doing linear recurring tasks.
Paid
29. Twin
Twin runs agents that control a real browser, execute code, call APIs, and chain multi-step workflows on a schedule — without requiring a developer to build each integration from scratch. The vendor positions this at SMBs replacing a stack of point tools: sales prospecting, invoice handling, recruiting pipelines, real estate lead qualification. Where it holds up is repetitive, browser-dependent work that other automation platforms treat as out of scope. Where it breaks is complex conditional branching — when the logic depends on what a previous step returned in an unexpected format, agent recovery works until it doesn't, and there is no self-hosted fallback when a workflow handles sensitive data. No permanent free tier means the cost clock starts after the trial ends.
PaidFree Trial · 14 days
30. Wingbits AI
The scraped page content returned for this tool does not match the tool data provided: the page describes a travel photo-identification app, not an aviation intelligence platform. Based on the validator context and structured tool data alone, Spotter is described as a freemium aviation OSINT tool where agents run scheduled monitoring loops, execute repeated queries against air traffic data, and fire alerts for events like GPS jamming, diversions, or VIP aircraft movement. The Explorer tier carries a trial limit, and deeper alert cadences and query volume are gated to paid tiers. No technical integration details, API schema, or workflow specifics could be sourced from the scraped page.
PaidFree Trial · 14 days
31. WorkBuddy
WorkBuddy runs as a local-first agent on the desktop, autonomously chaining file access, web search, and document generation into single-prompt workflows. The Tencent ecosystem fit is real: WeCom and WeChat integrations mean scheduling and messaging tasks route without extra setup, which matters if your organization already lives there. Outside that ecosystem, the integration surface narrows fast. Teams running mixed SaaS stacks report reaching for MCP-compatible connectors to fill the gaps — which adds configuration overhead the tool is supposed to eliminate. Self-hosted execution is the headline privacy story, but the closed-source codebase means you audit what the vendor discloses, not the code itself.
Paid

Listings on this page are sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent — no money changes hands for inclusion.