Alternatives to AUTOMATER.ai
Compare AUTOMATER.ai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AUTOMATER.ai in 2026. Compare features, ratings, user reviews, pricing, and more from AUTOMATER.ai competitors and alternatives in order to make an informed decision for your business.
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1
Muse Code
Meta
Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.Starting Price: $1.25 per 1M tokens (input) -
2
AgentOps
AgentOps
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.Starting Price: $40 per month -
3
AI Usage Tracker
AI Usage Tracker
AI Usage Tracker is a native macOS utility for people who monitor AI coding tools and local-model activity while working. It displays supported account limits, reset times, and agent activity in a compact notch that can sit along the top, bottom, left, or right edge of the screen. Users can review session and weekly usage, receive reset notifications, and select a tracked session to return to work when an agent needs attention. The app supports Claude, Codex, Cursor, Gemini, OpenCode, Kimi, Ollama, and LM Studio; available readings vary by provider and account. For supported local models, it can show context use and generation speed, and separate work and personal profiles can be configured for some services. The installed Mac app requires macOS 15 or later and runs on Apple silicon or Intel Macs.Starting Price: $9.99 one-time purchase -
4
Agentastic.dev
Agentastic
Agentastic.dev is a native macOS development workspace for software developers using AI coding agents. It combines an editor, terminal, browser, Git tools, and agent sessions so users can launch multiple coding agents and isolate tasks in Git worktrees or containers. Developers can inspect diffs, run code-review workflows, test applications in the built-in browser, and start work from prompts, specifications, or supported issues and team tools. The product supports a catalog of coding-agent command-line tools and allows custom terminal-based agents. Work can run locally, on SSH-accessible development machines, or in supported cloud environments. An iPhone companion lets users monitor sessions and respond when agents need input. The macOS app is free; subscriptions and API usage for third-party agents are paid to those providers.Starting Price: $0 -
5
Orca
Stably AI
Orca is a desktop environment for developers coordinating AI coding agents across software projects. It organizes work in isolated Git worktrees, allowing agents to tackle separate tasks or try the same task in parallel. Each workspace combines an agent terminal with code editing, browser access, and tools to inspect diffs, review changes, and commit or push work. Orca supports command-line agents such as Claude Code, Codex, Cursor CLI, and OpenCode, and can connect work to code repositories and issue-tracking tools. Developers can run agents locally or on remote machines, organize work into sessions, and use a mobile companion to monitor sessions away from the desktop. A command-line interface supports workspace and agent-task automation. Orca is designed for developers working with code and Git who want to supervise multiple AI-assisted coding tasks; it is a desktop application rather than a hosted coding service.Starting Price: $0 -
6
Lucidic AI
Lucidic AI
Lucidic AI is a specialized analytics and simulation platform built for AI agent development that brings much-needed transparency, interpretability, and efficiency to often opaque workflows. It provides developers with visual, interactive insights, including searchable workflow replays, step-by-step video, and graph-based replays of agent decisions, decision tree visualizations, and side‑by‑side simulation comparisons, that enable you to observe exactly how your agent reasons and why it succeeds or fails. The tool dramatically reduces iteration time from weeks or days to mere minutes by streamlining debugging and optimization through instant feedback loops, real‑time “time‑travel” editing, mass simulations, trajectory clustering, customizable evaluation rubrics, and prompt versioning. Lucidic AI integrates seamlessly with major LLMs and frameworks and offers advanced QA/QC mechanisms like alerts, workflow sandboxing, and more. -
7
AvonAI
AvonAI
AvonAI keeps your AI agents aligned with your business by monitoring every customer conversation, controlling every interaction, and helping teams trust every outcome at scale. Your agents are live, handling real conversations with real customers, but agents do not manage themselves: they go off-script, drift from policies, and cannot keep up with business changes on their own. AvonAI reads every interaction and surfaces only the ones that matter, including policy violations, hallucinations, missing disclaimers, and other behavioral drift, so teams can find and fix risks in hours instead of weeks. It lets operations teams update agent knowledge and steer behavior in plain language, with no code and no developer ticket, while showing exactly what will change and allowing validation before anything goes live. AvonAI continuously tests agents against business directives, so the moment a model, prompt, or knowledge source changes, teams know whether the agent still behaves as intended. -
8
Kayba
Kayba
Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.Starting Price: Free -
9
Vibe Island
Vibe Island
Vibe Island is a macOS notch panel for AI coding agents. It tracks sessions from 26 agents - Claude Code, Codex, Gemini CLI, Cursor, OpenCode, Kimi Code, DeepSeek, Copilot, and more - in one place, with real-time status, per-agent brand colors, and one-click precise jump to the exact terminal tab, split pane, or VS Code window where each session runs (20+ terminals supported, tmux included). Built for developers running several agents in parallel, it also shows remaining usage quota for Claude, Codex, Kimi, GLM, and DeepSeek subscriptions with live reset countdowns, and lets you approve permissions, answer agent questions, and review plans without leaving the notch. Works with local sessions and remote servers over SSH. Native Swift, no Electron, under 100 MB RAM. Free trial, then a one-time purchase - no subscription.Starting Price: $19.99 one-time -
10
Voker
Voker
Voker is an Agent Analytics Platform for monitoring and improving AI agents in the wild, helping teams make sure their agents are helping, not just responding. It gives builders a way to track what AI agents are saying, identify knowledge gaps, detect abnormalities, and measure improvement over time without digging through logs or waiting for users to complain. Voker connects agent metrics to business outcomes by correlating conversational data with user data that teams are already collecting, making it easier to understand whether an agent is actually improving activation, retention, conversion, support quality, or other product goals. Its self-service analytics are designed for PMs, analysts, and business teams, giving them digestible insights without tickets, bottlenecks, or delays. Developers can install Voker through the SDK, including pip install voker, or use an AI coding tool to scaffold the SDK, add an API key, and instrument an agent in minutes.Starting Price: $80 per month -
11
Langfuse
Langfuse
Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export dataStarting Price: $29/month -
12
Flue
Flue
Flue is an open agent framework for building durable AI agents with a programmable TypeScript harness. Created by the team behind Astro, it uses a React-like hooks API to compose agent behavior, persistent state, lifecycle events, models, tools, sandboxes, subagents, skills, and MCP servers in code. Agents are stateful and addressable over HTTP, keep context across conversations and events, and can change capabilities as work progresses. Flue records every session in a durable stream, so accepted work survives crashes, restarts, and deploys; interrupted sessions resume automatically and clients reconnect without starting over. Developers can run agents locally, in CI, from their own backend, or orchestrate them with systems such as Cloudflare Workflows and Inngest. Secure sandboxes let agents run commands, edit files, and do real work, while tools connect them to APIs and data. Flue is powered by Pi and supports different LLM providers, allowing teams to choose the models they want. -
13
Fluq
Fluq
Fluq is an AI agent observability and orchestration platform designed to give teams full visibility and control over how their AI agents operate in real time. It acts as a centralized “single pane of glass” where every agent action, LLM calls, tool usage, file operations, token consumption, and associated costs are tracked and visualized through detailed waterfall traces. By routing all agent requests through a lightweight proxy, Fluq requires minimal setup and works with any LLM provider or agent framework, allowing organizations to integrate it into existing systems without modifying code. It enables teams to inspect each decision an agent makes, drill into execution steps, and understand exactly how outcomes are generated, improving transparency and debuggability. It also includes governance features such as policy enforcement, spend limits, approval gates, and access controls, helping prevent issues like runaway costs, misuse of tools, or inaccurate outputs.Starting Price: $29 per month -
14
Wave Terminal
Command Line Inc
Wave is an open-source, AI-native terminal built for seamless developer workflows with inline rendering, a modern UI, and persistent sessions. Features Include: - Render almost anything in line with plugins for images, Markdown, audio/video, and more. - Edit code quickly with the same editor that powers VSCode locally and remotely. - Persistent sessions, searchable universal history, and workspaces across local and remote sessions. - Native AI integration with ChatGPT, with plans to allow users to bring their own AI (BYOLLM) in the future. - Licensed under the Apache 2.0 license, with packages available for both macOS and Linux.Starting Price: $0 -
15
Herdr
Herdr
Herdr is a terminal-based runtime and multiplexer for developers who run AI coding agents, shells, tests, and other command-line tools. It organizes work into workspaces, tabs, and panes managed by a background server, so processes can keep running when a client disconnects. Users can reattach locally or connect to Herdr on other machines over SSH. The software detects supported coding agents and displays whether they are working, blocked, idle, or done; integrations can preserve native agent sessions after a server restart. Its CLI and local socket API let scripts and agents inspect sessions, manage panes, start or prompt agents, and wait for state changes. Developers can configure keybindings and themes and extend workflows with local executable plugins. Herdr is installed on macOS, Linux, or Windows and is released under the Apache 2.0 license.Starting Price: Free -
16
port22
port22
port22 puts your coding agents in your pocket. Run the agent, pair your iPhone, and drive Claude Code, Codex, or OpenCode from anywhere while reading the live transcript and approving actions as the agent works. It attaches to the session already running in your terminal rather than starting or forking a new one, so you can continue working with the same live process you began at your desk. Every token is streamed to your phone as the agent thinks, edits, and runs, while push notifications arrive when it finishes or needs your approval. Live status remains visible through the Dynamic Island and lock screen, so you can follow every active session without repeatedly opening the app. port22 works over your local network at your desk and automatically switches to an end-to-end encrypted relay when you leave Wi-Fi, keeping the same session over cellular.Starting Price: Free -
17
FoldersSynchronizer
Softobe
FoldersSynchronizer is a nifty and popular utility for macOS (Apple Silicon and Intel) which synchronizes and backs-up files, folders and disks. You can choose one or more pairs of files, folders or disks then FS will synchronize or backup those exactly. FS lets you organize your sync and backup on several sessions you can save to a file for a later reuse. On each session you can apply special options like Timers, Multiple pairs of folders, Filters, Exclude Items, Auto-Mount local and remote volumes, launch your own AppleScripts, set how to resolve Conflicts, execute an incremental or an exact copy, include locked files... FS can display a preview panel listing all the files FS is going to copy, replace and delete. FS can save a log file or send it to a custom email address, and it can sync and automatically quit the application… FoldersSynchronizer has been successfully tested on macOS 14 Sonoma. Previous versions for previous macOSs, for Intel and PPC are available too.Starting Price: $30 per license per 2 machines -
18
Entire
Entire
Entire is a developer platform that integrates deeply with your Git workflow to capture and preserve AI agent sessions alongside your code, making the context of AI-assisted development transparent, searchable, and shareable. Every time you commit, Entire’s CLI hooks into Git to automatically record comprehensive session data, including transcripts, prompts, files changed, token usage, and tool calls, as versioned checkpoints that link directly to Git commits, helping developers understand how and why AI-generated code was produced. These checkpoints become first-class, permanent data stored in special Git branches so team members can review AI interactions during code reviews, recall decision context, trace history, and collaborate more effectively. Entire’s model ensures AI sessions aren’t ephemeral but become part of a project’s source context, searchable and explainable through tooling that helps teams rewind, analyze, and share workflows the same way they manage code.Starting Price: Free -
19
Convo
Convo
Kanvo provides a drop‑in JavaScript SDK that adds built‑in memory, observability, and resiliency to LangGraph‑based AI agents with zero infrastructure overhead. Without requiring databases or migrations, it lets you plug in a few lines of code to enable persistent memory (storing facts, preferences, and goals), threaded conversations for multi‑user interactions, and real‑time agent observability that logs every message, tool call, and LLM output. Its time‑travel debugging features let you checkpoint, rewind, and restore any agent run state instantly, making workflows reproducible and errors easy to trace. Designed for speed and simplicity, Convo’s lightweight interface and MIT‑licensed SDK deliver production‑ready, debuggable agents out of the box while keeping full control of your data.Starting Price: $29 per month -
20
AgentScope
AgentScope
AgentScope is an AI-driven agent observability and operations platform that provides visibility, control, and performance analytics for autonomous AI agents across production workloads. It enables engineering and DevOps teams to monitor, diagnose, and optimize complex multi-agent applications in real time by capturing detailed telemetry on agent actions, decisions, resource usage, and outcome quality. With rich dashboards and timelines, AgentScope helps teams trace execution flows, identify bottlenecks, and understand how agents interact with external systems, APIs, and data sources, improving debugging and reliability for autonomous workflows. It supports customizable alerting, log aggregation, and structured event views so teams can quickly surface anomalous behavior or errors across distributed agent fleets. In addition to real-time monitoring, AgentScope provides historical analysis and reporting that help teams measure performance trends, model drift, etc.Starting Price: Free -
21
XHawk
XHawk
XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built. -
22
Vivgrid
Vivgrid
Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.Starting Price: $25 per month -
23
Slack Code
Slack
Slack Code is a collaborative coding experience that brings teammates and AI agents together to build software in the open. Mentioning an agent can start a temporary code channel for a specific task, giving the team a dedicated place to follow the work, provide direction, review changes, and approve the result without cluttering regular channels. Agents begin with the conversations and knowledge they are permitted to access, helping them work with useful team context from the start. Users can describe what they want built and let an agent produce working code while everyone follows along, weighs in, and decides what ships. Code channels archive automatically when the task is complete, while their context remains searchable for future reference. Agents are organized in the Agents tab, where users can check sessions, monitor live status, and see when input is needed. Smarter threads create clearer titles so previous work is easier to find and resume.Starting Price: $4.38 per month -
24
OpenCode
Anomaly Innovations
OpenCode is the AI coding agent purpose-built for the terminal. It delivers a responsive, themeable terminal UI that feels native while streamlining your workflow. With LSP auto-loading, it ensures the right language servers are always available for accurate, context-aware coding support. Developers can spin up multiple AI agents in parallel sessions on the same project, maximizing productivity. Shareable links make it easy to reference, debug, or collaborate across sessions. Supporting Claude Pro and 75+ LLM providers via Models.dev, OpenCode gives you full freedom to choose your coding companion.Starting Price: Free -
25
Sculptor
Imbue
Sculptor is a coding agent environment from Imbue that embeds software engineering practices into an AI-augmented development workflow; it runs your code in sandboxed containers, spots issues (e.g., missing tests, style violations, memory leaks, race conditions), and proposes fixes that you can review and merge. You can launch multiple agents in parallel, each operating in its isolated container, and use “Pairing Mode” to sync an agent’s branch into your local IDE for testing, editing, or collaboration. Changes go back and forth in real time. Sculptor also supports merging agent outputs while flagging and resolving conflicts, and includes a Suggestions feature (beta) to surface improvements or catch problematic agent behavior. It preserves full session context (code, plans, chats, tool calls) so you can revisit prior states, fork agents, and continue work across sessions. -
26
Atla
Atla
Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more. -
27
epho
epho
Epho turns coding agents into an API, letting developers run Claude Code, Codex, or OpenCode in isolated cloud sandboxes through a single HTTP endpoint. Send a prompt, choose a harness and model, attach repositories and files, connect MCP servers, and pass environment variables or provider credentials; Epho boots the environment, clones the code, wires in the tools, and streams the agent’s work back as it happens. Runs can return live events, tool calls, edits, final answers, and artifacts, or execute asynchronously with polling and webhooks. Chats are durable, so follow-up turns can resume with the same filesystem, checkout, agent session, system prompt, model, and MCP configuration even if the original sandbox is gone. Private GitHub, GitLab, and Bitbucket repositories are supported, and agents can read code, make changes, run tests, and iterate on failures just as they would locally. Every event is persisted, allowing interrupted streams to reconnect without losing the run.Starting Price: $0.00013 per GiB per hour -
28
FlowLens
Magentic AI
FlowLens is an AI-native debugging and session-recording tool that captures everything needed for correct, context-aware bug diagnosis and lets AI coding agents fix bugs autonomously. With a simple browser extension and optional MCP server, FlowLens records full user sessions, including video of the UI, network-request data, console logs, user interactions (clicks, inputs, navigation), storage state (cookies, local/session storage), system info, and more, all synchronized on a unified timeline. Once a bug is reproduced, FlowLens bundles that complete context into a single “flow” that can be shared via link. AI coding agents compatible with MCP (such as those from major providers) can then load the flow, inspect network activity, error logs, UI state, and user inputs, and automatically analyze root causes and suggest or even generate code fixes. This removes the need for manual replays, copying and pasting logs, or writing verbose bug descriptions.Starting Price: $11 per month -
29
Nimbalyst
Nimbalyst
Nimbalyst is a free, local, visual workspace for building with Claude Code and Codex. Nimbalyst provides a session and task manager and visual editors for markdown, mockups, diagrams, drawings, csv, mcp, data-models, code, sessions, and tasks. Nimbalyst enables builders (developers, product managers, designers, and others) working with agents to achieve: - Higher bandwidth: a visual workspace to collaborate with your agents on sessions, files, and tasks. - Richer context: live diffs, linked files, and integrated editors keep you and your agents on the same page - Faster workflows: your agent builds custom tools and visual interfaces for your use cases right inside the workspace where you workStarting Price: $0/user/month -
30
Future AGI
Future AGI
Future AGI is an open-source, end-to-end AI agent engineering platform that covers the full lifecycle: simulate, evaluate, optimize, monitor, protect, gateway, and guardrail - all from one place. It helps teams ship self-improving AI agents by collapsing fragmented tooling into one platform and one feedback loop: simulate edge cases before launch, evaluate what happens in production, protect users in real time, and turn every trace into signal for the next version. Key capabilities include 70+ built-in evaluation templates covering quality, safety, factuality, RAG retrieval, bias, audio, and image evaluation, OpenTelemetry-native tracing, agent optimization, and real-time guardrails (PII detection, prompt injection blocking). SDKs are available in Python, TypeScript, Java, and C#, with integrations for OpenAI, LangChain, LlamaIndex, and 30+ frameworks. Apache 2.0 licensed, self-hostable or cloud-managed. -
31
AgenticCutter
Götzendorfer
AgenticCutter is a native video rough-cutting app for Apple Silicon Macs running macOS 26 or later. Import a local recording, transcribe it, review proposed edits as text, approve the cut, and render locally to MP4 or ProRes. It helps creators shorten pauses and make transcript-driven edits while retaining control over the final result. Transcription and rendering run on the Mac. Cutting decisions can use Claude Code or Codex, or a local model through LM Studio; cloud providers may receive transcript text and still frames. Automatic retake cleanup is still in progress and requires manual review. The direct-download app offers a 7-day trial without payment details, then EUR 9.99/month, EUR 79/year, or EUR 149 once for the first 100 buyers. Supported cloud-provider access is supplied by the user.Starting Price: EUR 9.99/month -
32
Inficy
Artnames Ltd
Inficy is a hosted control plane for AI agent execution evidence. It turns captured agent runs into readable, tamper-evident execution records showing tools, services, timing, failures, recoveries, and human interventions. Records can be inspected, exported, and verified offline, with optional independent certification for selected executions through the NexArt infrastructure. Inficy is designed for engineering teams, operators, and risk or audit reviewers running AI agents that take real actions in production systems. -
33
TrayToken
TrayToken OÜ
TrayToken is a privacy-focused engineering intelligence platform that helps organizations understand and improve how software teams use Claude Code. A desktop tray app for macOS, Windows, and Linux analyzes selected local Claude Code sessions and turns them into prompt-quality scores, activity timelines, adoption trends, token and tool-usage metrics, and actionable coaching. Role-based web dashboards give administrators organization-wide visibility, team leads team-level insights, and engineers personal analytics. TrayToken supports project-level opt-in, CSV exports, alerts for declining scores or inactivity, and side-by-side comparisons. Source code, file contents, Claude responses, and tool outputs remain on the device and are not transmitted. -
34
ClawTab
ClawTab
ClawTab manages Claude Code, Codex, OpenCode and shell jobs in durable tmux sessions. A headless daemon handles schedules, agent status, task titles, question detection, notifications and remote connections even when the desktop app is closed. Use the terminal tools, tmux plugin or macOS desktop app to manage agents. Open the same live sessions from iPhone, iPad or the web to follow output, answer questions and start work on your Mac or a paired Linux host. The apps and local tools are free and MIT licensed. Self-host the relay for free or use hosted Remote for $4.99 per month.Starting Price: $4.99/month; local tools free -
35
Respan
Respan
Respan is a self-driving observability and evaluation platform built specifically for AI agents. It enables teams to trace full execution flows, including messages, tool calls, routing decisions, memory usage, and outcomes. The platform connects observability, evaluations, and optimization into a continuous improvement loop. Metric-first evaluations allow teams to define performance standards such as accuracy, cost, reliability, and safety. Respan also includes capability and regression testing to protect stable behaviors while improving new ones. An AI-powered evaluation agent analyzes failures, identifies root causes, and recommends next steps automatically. With compliance certifications including ISO 27001, SOC 2, GDPR, and HIPAA, Respan supports secure, large-scale AI deployments across industries.Starting Price: $0/month -
36
omp
omp
omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.Starting Price: Free -
37
SuperBased
SuperBased
SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.Starting Price: $0.90 per month -
38
Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
39
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
40
Papaya
Papaya
Papaya is the optimization engine for AI agents. Engineers connect their agents via SDK, and Papaya analyzes production traces to find improvements across context, prompts, prompt caching, subagents, and tool calls. It delivers actionable recommendations ranked by quality, latency, and cost impact, with the production runs that produced each finding. Approved improvements can be pushed to production as pull requests. Papaya runs more than 200 research-backed analyses and typically finds a 10%+ quality improvement on the first workflow analysis.Starting Price: Free -
41
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
42
Plurai
Plurai
Plurai is the real-world trust platform for AI agents, built for simulation-driven evaluation, protection, and optimization that turns agents into trusted, continuously improving production systems. It helps teams train evals and guardrails tailored to their use case, bridging the gap from prototype to reliable production at scale. Plurai’s simulation platform prepares agents for the real world, not the lab, with hyper-realistic, product-tailored experimentation and evaluation that covers production complexity. It generates authentic multi-turn scenarios, personas, required artifacts, and tool mocking, using organizational PRDs, relevant sources, and policies to build a knowledge graph and expand edge-case coverage. Instead of relying on static datasets, manual test creation, or inconsistent LLM-as-a-judge methods, Plurai groups evaluations into structured, runnable experiments so teams can test new versions, measure regressions, and validate improvements before release.Starting Price: Free -
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Openlayer
Openlayer
Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own -
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telemetry.dev
telemetry.dev
telemetry.dev is an OpenTelemetry-native observability platform for AI agents and LLM applications. Developers can trace model calls, tool steps, retrievals, logs, and metrics; inspect failures, latency, token usage, and estimated cost; and compare activity by model, provider, and environment. It supports first-party TypeScript and Python SDKs, provider and framework integrations, and standard OTLP/HTTP ingest. Environment-level capture controls, SDK masking, and server-side redaction help teams manage stored prompt, response, and telemetry content.Starting Price: $0/month -
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Lanes
Lanes
Lanes is a local-first desktop application designed to help developers manage and interact with AI coding agents in a private, secure environment where all work remains on the user’s machine. It operates on the principle that sensitive development data, such as source code, terminal activity, prompts, AI responses, and project configurations, should never leave the local device, ensuring full confidentiality and control. It integrates with third-party AI coding agents and CLI tools like Codex, Claude Code, or Gemini CLI, but does not act as an intermediary; instead, all communication occurs directly between the user’s machine and those services. This architecture allows developers to use powerful AI tools while maintaining strict data privacy and ownership. Lanes supports account management through simple authentication and collects only minimal, anonymous telemetry data, such as feature usage patterns, session duration, and crash reports, to improve performance. -
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Orq.ai
Orq.ai
Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security. -
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Mistral Medium 3.5
Mistral AI
Mistral Medium 3.5 is a flagship 128B dense model that merges instruction-following, reasoning, and coding into a single set of weights. It has a 256K context window, configurable reasoning effort, multimodal input, strong agentic capabilities, and is built for long-horizon tasks that require reliable multi-tool use and structured outputs. The model powers remote agents in Mistral Vibe, allowing coding sessions to run in the cloud, work through long tasks independently, and execute multiple sessions in parallel. Agents can be launched from the Vibe CLI or Le Chat, with local CLI sessions moved to the cloud while preserving history, task state, and approvals. Users can inspect file diffs, tool calls, progress states, and questions as work proceeds. Each coding session runs in an isolated sandbox and can handle module refactors, test generation, dependency upgrades, CI investigations, and bug fixes, then open a GitHub pull request for review.Starting Price: $14.99 per month -
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Netra
Netra
AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra is the single platform to trace, evaluate, simulate and security test your agents. Built for text, voice, image and video agents. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.Starting Price: $39/month -
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Reasonix
Reasonix
Reasonix is an open source coding agent designed for long autonomous sessions that remain readable, auditable, and reversible. One local engine powers four interfaces: terminal, desktop app, browser, and ACP-compatible editors, with sessions, permissions, skills, and MCP servers shared across them. Plan mode holds every write until the proposed steps are reviewed and approved, while reads, writes, and shell commands are separately gated and constrained by a workspace sandbox. Each turn creates a checkpoint outside Git, allowing users to rewind a long run without affecting commit history. MCP support over stdio, SSE, and streamable HTTP merges external tools into one registry, while Markdown skills and isolated subagents extend the agent without requiring a fork. Reasonix maps a codebase once and keeps that map throughout the session, letting users queue tasks, review diffs, and resume work without losing context.Starting Price: Free -
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OpenChiip Harness
OpenChiip
OpenChiip Harness is a self-hosted AI agent runtime and orchestration framework for developers building local or coordinated agent workflows. It combines LLM conversations, skill orchestration, tool execution, multi-layer memory, resource monitoring, and multi-agent collaboration in a React administration dashboard. Run it as a local service or connect it to the OpenChiip platform for collaborative scheduling. Its CLI, web dashboard, HTTP API, and WebSocket interface support chat, tools, sessions, memory, task management, and monitoring. It supports Baidu ERNIE, OpenAI-compatible model providers, and delegation to Codex or Claude Code. Install via pip or deploy with Docker, Linux packages, systemd, or Windows installers; macOS supports pip installation. Licensed under AIGCGPL-1.0.
