Alternatives to Bevel
Compare Bevel alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Bevel in 2026. Compare features, ratings, user reviews, pricing, and more from Bevel competitors and alternatives in order to make an informed decision for your business.
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1
BAND
BAND.ai
BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. -
2
MuleSoft Anypoint Platform
Salesforce
MuleSoft is an agentic control plane designed to help enterprises govern, orchestrate, and secure AI agents, APIs, applications, models, and data across complex digital environments. The platform supports multi-agent governance, API management, integration, automation, and gateway federation from one unified control plane. With solutions such as MuleSoft Agent Fabric, MuleSoft Omni Gateway, Agent Registry, Agent Scanners, and Agent Broker, organizations can discover agents, manage interactions, reduce shadow AI, and coordinate workflows across ecosystems. MuleSoft also helps teams turn existing APIs and applications into governed tools that AI agents can safely discover and use. Its platform supports developers and business users with natural language development, prebuilt connectors, monitoring, API governance, and integration tools. MuleSoft is built to help enterprises scale AI adoption with stronger compliance, observability, security, and operational confidence. -
3
Peta
Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.Starting Price: Free -
4
Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
5
JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
6
Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
7
Maetra
Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.Starting Price: $20/month -
8
Barndoor.ai
Barndoor.ai
Barndoor is a data and access management layer designed to secure how artificial intelligence systems interact with enterprise data and infrastructure. It acts as a centralized control plane that governs AI agents and applications, allowing organizations to define policies, enforce access rules automatically, and maintain full visibility over how AI tools operate across business systems. Instead of relying only on traditional identity-based permissions, Barndoor introduces context-aware governance, enabling administrators to control what actions an AI agent can perform based on factors such as the user operating the agent, the system being accessed, the type of data involved, and the specific task being attempted. It evaluates every AI request in real time and enforces policies before an action is executed, preventing unsafe or unauthorized operations from reaching internal systems or modifying sensitive information.Starting Price: $500 per month -
9
Obot MCP Gateway
Obot
Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.Starting Price: Free -
10
SEAOTTER
SEAOTTER
SEAOTTER is a managed control plane for Hermes Agent on Google Cloud. Isolated, always-on agents. No VPS. No SSH. You create an agent in the dashboard. SEAOTTER provisions a per-agent namespace with a gVisor sandbox, typically in a few minutes. Pause, restart, restore, and reprovision from the API or UI. Logs and metrics included. You do not SSH into a box. Secrets go in a write-only tab and are stored in Google Secret Manager. Hermes loads them at startup. Do not paste keys into chat. After signup, connect with an org-scoped so_ MCP key from Cursor, Claude, or Codex. Hermes is the live harness: tools, memory, cron. us-central1 is live. 7-day trial, no credit card, one agent only (1 CPU / 4Gi / 8Gi). Then $99 per always-on agent / month. Extra agents after convert at +$99. Custom is book-a-call.Starting Price: $99 -
11
Microsoft Agent 365
Microsoft
Microsoft Agent 365 introduces a unified control plane that allows organizations to deploy, manage, and secure AI agents with the same confidence they apply to user management. It gives enterprises full visibility into all agents, including Entra-verified agents, self-registered agents, and shadow agents running across the environment. Built on Microsoft’s trusted ecosystem, Agent 365 extends familiar tools like Entra, Defender, Purview, Power Apps, and Microsoft 365 to support identity, security, governance, and productivity for agents. With Work IQ, organizations can connect agents directly to their unique company data and workflows, enabling smarter, more context-aware automation. IT admins can access Agent 365 early via Frontier, Microsoft’s early access program, and activate it at the tenant or user level. Designed to scale with modern AI adoption, Agent 365 ensures that enterprise agentic systems remain secure, compliant, and manageable from day one. -
12
Humatron AI
Humatron AI
Humatron is an enterprise AI workforce platform that turns AI agents into secure, trusted, vendor-neutral AI workers that operate across teams, tools, and business workflows. Organizations can build, hire, customize, onboard, train, monitor, and govern AI workers from a single control plane, managing them more like digital employees than standalone assistants. Each worker can be powered by modern core agents such as Claude, OpenAI, Manus, OpenClaw, Hermes, Cursor, or custom agentic systems, allowing companies to mix or replace underlying models without changing the workforce layer. AI workers can act autonomously, initiate and complete tasks, collaborate across teams, learn new skills, and interact through existing channels such as email, Slack, Teams, Zoom, and phone. Builds define reusable tools, rules, behaviors, and agent integrations, while each hired worker becomes an isolated instance customized for a specific company, team, and job.Starting Price: $1 for 100 credits -
13
Paperclip.inc
Paperclip.inc
Paperclip.inc is a control plane for hiring and managing AI agents that can support engineering, growth, operations, research, and other company workflows. It lets users run multiple AI agents from a single inbox instead of juggling separate model tabs and scattered conversations. The platform supports agents such as Claude, Codex, Cursor, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, and others. Paperclip.inc includes approvals, permissions, budgets, audit logs, goals, routines, and scheduled heartbeats to help companies manage AI work with structure and accountability. Teams can install pre-built AI companies with defined org charts, agent configurations, and skill sets for areas like engineering, agencies, research labs, and digital studios. With EU-hosted managed infrastructure, open-source foundations, and per-company pricing, Paperclip.inc helps organizations scale AI work while maintaining control over cost, direction, and governance.Starting Price: 19€/month -
14
Axiamatic
Axiamatic
Axiamatic is an AI-native control plane for enterprise transformation, designed to help transformation teams see, decide, and act at every step of complex programs. It continuously maps live program work into a shared context, building an always-on digital twin that preserves every decision, rationale, dependency, artifact, and signal as work evolves. It ingests and analyzes structured and unstructured data across enterprise systems, documents, tickets, workshops, conversations, and meetings, creating a Living Context Graph that keeps full program context available instead of reducing reality to static status summaries. Specialized transformation agents detect structural breakdowns as they form, including translation loss, cross-stream drift, scope drift, missed requirements, dependency conflicts, stakeholder misalignment, and emerging change resistance. -
15
Lunar.dev
Lunar.dev
Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.Starting Price: Free -
16
Data Flow Manager
Ksolves
Data Flow Manager is an Agentic AI Control Plane for Apache NiFi Operations, built for enterprises running NiFi at real scale. Run, manage, and fix NiFi challenges across all clusters, environments, and flows using simple natural-language prompts. One platform. One control plane. Zero firefighting. DFM replaces fragmented UIs, brittle scripts, and reactive operations with centralized, AI-driven control, enabling NiFi teams to transition from manual operations to governed, autonomous execution. What DFM delivers: • Centralized control across all NiFi clusters and environments • Prompt-driven flow deployment and promotion • Pre-deploy flow validation & sanity checks • Scheduled and controlled flow deployments • Centralized controller service management • Built-in approval workflows and RBAC • Immutable, detailed audit logs • Unified visibility into flow health and runtime state -
17
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 -
18
Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free -
19
Onyx Security
Onyx Security
Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale. -
20
Trase
Trase
Trase is a governed AI platform for healthcare, government, and enterprise environments where trust, security, sovereignty, and predictability are non-negotiable. It provides a powerful foundation for deploying AI agents across real workflows, with hundreds of specialized agents ready to run in production and the infrastructure needed to keep every workflow, decision, and escalation under control. Trase Origin is the operating system agents run on, built to orchestrate, secure, and govern agents across cloud, on-premises, VPC, and edge environments while keeping data where it lives. Trase and third-party agents operate under one control plane with shared policy enforcement, monitoring, cost controls, escalation paths, and a full, immutable audit trail. It supports HIPAA- and SOC2-compliant deployment, data residency, privacy, model flexibility, and no vendor lock-in. -
21
eve
Vercel
Eve is the framework for building agents, like Next.js for web apps, but for agents. It uses Markdown for instructions and skills, TypeScript for tools, and durable execution by default. An agent is a directory that defines instructions and skills in Markdown, tools in TypeScript, and then deploys. Eve compiles the directory, wires up durable workflows, and connects channels, giving developers a structured way to build production agents without gluing together point solutions. An instructions.md file can be a complete agent, while agent.ts lets teams choose a model or configure the runtime. Reusable skills are Markdown playbooks loaded when relevant, so the agent gets focused guidance without carrying everything in every prompt. Tools are added as TypeScript files, with the filename becoming the tool name, and no registration is required. Every agent includes an isolated sandbox and file tools, with support for custom sandbox setup. -
22
Microsoft MCP Gateway
Microsoft
Microsoft MCP Gateway is an open source reverse proxy and management layer for Model Context Protocol (MCP) servers that enables scalable, session-aware routing, lifecycle management, and centralized control of MCP services, especially in Kubernetes environments. It functions as a control plane that routes AI agent (MCP client) requests to the appropriate backend MCP servers with session affinity, dynamically handling multiple tools and endpoints under one unified gateway while ensuring authorization and observability. It lets teams deploy, update, and delete MCP servers and tools via RESTful APIs, register tool definitions, and manage these resources with access control layers such as bearer tokens and RBAC. Its architecture separates control plane management (CRUD operations on adapters/tools and metadata) from data plane routing (streamable HTTP connections and dynamic tool routing), offering features like session-aware stateful routing.Starting Price: Free -
23
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. -
24
Oz
Warp
Oz is a cloud-based orchestration platform for AI coding agents that lets developers and teams run, manage, automate, and scale unlimited parallel cloud coding agents without building custom infrastructure, providing programmable, auditable, and fully steerable workflows that automate repetitive development tasks and complex code changes. It enables you to launch agents from the CLI, web app, APIs, SDKs, Warp Terminal, or even mobile, orchestrate hundreds of agents in parallel with built-in audit trails, session tracking, and visibility, and monitor or interact with running agents in a shared control plane. Oz supports flexible hosting on your infrastructure or Warp’s, isolates each agent in secure environments, produces real artifacts like plans and pull requests, and handles multi-repo changes so agents can coordinate sweeping updates across large codebases.Starting Price: $18 per month -
25
Forest
Forest
Forest is an operational infrastructure platform for regulated companies that helps teams run humans, AI agents, BPOs, LLMs, suppliers, and workflows together with full auditability and control. The platform acts as an operational backend between company data, compliance providers, human teams, AI agents, and tools connected through MCP. Forest includes business logic, smart actions, workflows, permissions, RBAC, audit trails, and a shared control plane deployed inside the customer’s infrastructure. It supports regulated workflows such as KYC, KYB, onboarding, document checks, beneficial-owner discovery, screening, risk routing, agent triage, and human review. Every provider call, agent step, workflow action, and reviewer decision is recorded at the record level for compliance and audit readiness. Built for regulated operations, Forest helps companies make agentic operations safer, faster, more governed, and easier to scale.Starting Price: $0.00/month -
26
Aditya Protocol
Aditya Labs
Aditya Protocol is a reviewed-operations control plane for teams using AI agents, scripts, CI/CD, internal tools, and automation near production. It helps technical teams request, review, approve, run, and record important operational actions with human oversight. The product includes reviewed command flows, rationale prompts, approval states, run history, artifacts, access-token guidance, node-token guidance, settings controls, and evidence-oriented workflows. Aditya Protocol is currently open for a small supervised pilot with trusted technical reviewers and service-provider partners. It is not positioned as a broad public launch, certification product, legal-advice product, or replacement for human operational judgment.Starting Price: $79/month -
27
Klique
Klique
Klique is an enterprise AI control plane that centralizes model routing, AI service governance, and compute orchestration across on-premises, cloud, and hybrid environments. The platform routes AI requests to appropriate models based on factors such as cost, latency, policy, and data sensitivity while also directing workloads to suitable infrastructure. It provides centralized controls for budgets, quotas, virtual keys, single sign-on, audit trails, and access policies across users, agents, models, projects, and tools. Klique can manage in-house models, open-source models, third-party APIs, GPU clusters, CPUs, Kubernetes environments, and cloud AI services through a unified layer. Its orchestration capabilities support shared compute pools, fractional GPU usage, priority scheduling, training jobs, data processing, and live model deployments. -
28
Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security. -
29
Arcade
Arcade
Arcade.dev is an AI tool-calling platform that enables AI agents to securely perform real-world actions, like sending emails, messaging, updating systems, or triggering workflows, through authenticated, user-authorized integrations. By acting as an authenticated proxy based on the OpenAI API spec, Arcade.dev lets models invoke external services (such as Gmail, Slack, GitHub, Salesforce, Notion, and more) via pre-built connectors or custom tool SDKs, managing authentication, token handling, and security seamlessly. Developers work with a unified client interface (arcadepy for Python or arcadejs for JavaScript), facilitating tool execution and authorization without burdening application logic with credentials or API specifics. It supports secure deployments in the cloud, private VPCs, or on premises, and includes a control plane for managing tools, users, permissions, and observability.Starting Price: $50 per month -
30
Vokal
Vokal
Vokal is a collaboration space for teammates and AI agents, built so founders and product teams can run agent work where the team can see it, review it, and reuse what matters. It gives human-agent work a shared place to start, move, stay visible, and become reusable context, instead of leaving agent runs, assumptions, and decisions trapped in private sessions across Claude Code, Codex, Cursor, ChatGPT, or other tools. Vokal connects channels, tasks, docs, files, apps, agents, memory, Knowledge Base, identity, access, runtime, and event logs around the work, helping teams keep output aligned, reviewed, controlled, and reusable. Agents can work in shared channels with named owners, roles, instructions, sources, statuses, permission scopes, app grants, memory scope, local project-file grants, and visible activity. Teams can use pre-built roles for engineering, product, growth, support, operations, research, and customer work, or bring their own local Codex, Claude Code, Hermes, etc.Starting Price: $20 per month -
31
ArmorCode
ArmorCode
ArmorCode is the Agentic Control Plane for Unified Exposure Management, unifying, prioritizing, and driving remediation across apps, code, cloud, infrastructure, supply chains, and AI. Scannerless and vendor-agnostic, ArmorCode connects with 400+ security and dev tools, feeding findings into the Context Risk Graph, correlating them with assets, code, cloud, identities, and business context. Anya Agents investigate exposures, analyze risk, assess zero-day impact, and generate remediation guidance and reporting; workflows then route issues to the right owners. The platform unifies four capabilities: ASPM (App Security Posture Management), RBVM (Risk-Based Vulnerability Management), AIEM (AI Exposure Management), and SSCS (Software Supply Chain Security), giving teams one system of action across their exposure landscape. ArmorCode processes 400B+ findings yearly across 400+ integrations, driving up to 90% noise reduction, 97% faster remediation, and 80%+ less security debt. -
32
Dapple
Dapple
Dapple is an Enterprise OS Cloud built for regulated enterprises and AI-native companies that need dedicated AI infrastructure without compromising on isolation, data residency, governance, or performance. It sits between the public cloud and the private data center, combining dedicated, single-tenant GPU infrastructure with orchestration, compliance, connectivity, observability, and operations through one control plane. Topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters provide predictable performance without noisy neighbors. Private connectivity extends existing cloud environments directly to dedicated compute, while identity, container orchestration, threat protection, and governance policies continue working across the deployment. Compliance is enforced at the architecture level before workloads execute, supporting in-country data residency, audit requirements, and regulatory frameworks. -
33
CybeDefend
CybeDefend
Your AI agent ships thousands of lines a day, and most of them never get a real review. CybeDefend works inside the agent while it codes. One command installs VibeDefend on Claude Code, Cursor, Windsurf, GitHub Copilot, Codex and other agents. From then on the agent writes with your business rules in its context, mined automatically from your repo (tenant scoping, soft delete, audit on write), next to your security rules (OWASP, SOC 2, GDPR, ISO 27001). It scans each diff while the file is still open, and a guard refuses commands like rm -rf, sudo or a read of your secrets before they run. Behind it sits a full AppSec platform with SAST, SCA, secrets, IaC, CI/CD and container scanning, plus AutoFix. The free plan needs no card and includes 10 static scans and 50 AI credits. Paid plans start at $19 a month. npx -y @cybedefend/vibedefend@latest installStarting Price: $19/month -
34
Tulsk
Tulsk
Tulsk is an agentic project management workspace for small startup teams, built to plan, run, and monitor autonomous AI work across projects, docs, tasks, comments, and agent workflows in one shared workspace. Teams use Tulsk to delegate real work to AI agents instead of managing separate chat windows, prompts, and half-finished outputs. Users can mention an agent in any task, and the agent reads the context, executes the work, and posts the result back in the thread with no copy-paste or babysitting. Tulsk combines projects, statuses, priorities, attachments, real-time comments, OpenClaw agent runtime, EMA AI project manager, Skills, MCP access, and agent scheduling in one workspace. OpenClaw gives agents their own dedicated cloud workspace with browser, shell, web search, editable persona files, attached skills, and tool access, so they can handle long-running jobs such as market research, competitor analysis, reports, content drafts, operational checks, and specialized workflows.Starting Price: $39 per month -
35
AstrBot
AstrBot AI
AstrBot is an open source, cross-platform Agentic AI assistant and chatbot platform built for chats, automation, and smart collaboration. It runs directly in messaging apps and provides an agent runtime with Sub-Agents, complex workflows, tool calls, context management, scheduled tasks, runtime controls, and isolated agent sandboxes for real actions. Native MCP and Skills support expands AI capabilities, while a plugin-driven architecture provides access to more than 1,000 community extensions for productivity, group operations, content workflows, and external integrations. AstrBot supports OpenAI, Google, Anthropic, and OpenAI-compatible providers with flexible model switching, as well as text generation, vision, speech-to-text, text-to-speech, and embeddings. Its built-in knowledge base supports PDF, DOCX, and Markdown parsing, hybrid dense and BM25 retrieval, and references to multiple knowledge bases in a single conversation. -
36
InstaVM
InstaVM
InstaVM is a production sandbox and cloud built for AI agents, giving agents instant computers with runtime, storage, networking, secrets, and policy. It goes beyond basic sandboxes by running untrusted code inside hardware-isolated real VMs rather than containers, helping teams give AI agents secure execution environments with full Linux filesystems, networking, package management, RESTful API access, and persistent state. InstaVM supports snapshots, allowing users to fork any sandbox and rewind any run, while persistent volumes keep state beyond each execution. Egress control lets teams allowlist what calls home, secrets injection and Vault help protect sensitive credentials from prompt injections, and public URL deploys can expose any port to the public web. It is built for agent patterns such as code interpreters, deploy agents, deep research agents, AI evaluations, reinforcement learning, computer use, and vibe coding apps.Starting Price: $100 per month -
37
SurePath AI
SurePath AI
Ensure AI use adheres to corporate policy with our simple-to-implement AI governance control plane. Remove complexity, gain visibility, and securely increase AI adoption, with SurePath AI. Native integrations to your existing security solutions, private models, and enterprise data sources. SSO, SCIM, and SIEM are natively supported. Detect AI use at a network level. Control access and inspect requests for sensitive data leaks. Redact sensitive data found in requests to public models. In-line modification of requests enables productivity while mitigating risk. Redirect traffic to your private AI models. Leverage SurePath AI's private model access controls as your own internally branded enterprise AI portal. Policy-based controls enrich requests with only the enterprise data users are granted access to, giving meaningful responses based on relevant business context. Users' prompts are automatically enhanced to align output to enterprise objectives. -
38
scribe
scribe
scribe is a self-hosted knowledge base written automatically by your tools. It reads Git history, Claude Code and Codex sessions, self-sent URLs, and drop files, then turns that work into a curated, cross-project wiki of plain Markdown stored in Git. Instead of making developers maintain a second brain or rebuild context whenever an agent session starts from zero, scribe captures decisions, fixes, evaluations, and the reasoning behind them so agents can query that memory before they act. Its pipeline runs on cron: it discovers projects, filters low-value noise with FTS5 before invoking an LLM, extracts grounded facts through bounded and two-pass workflows, and compiles them into entity-first pages with YAML frontmatter, wikilinks, backlinks, retrieval context, and typed relationships such as supersedes, contradicts, derived_from, specializes, and extends. -
39
MiniMax Code
MiniMax
MiniMax Code brings the agent experience to Mac and Windows, where users can pick a workspace, describe what they need, and let the agent read, analyze, batch-process, and act on local files or remote tasks. Instead of manually managing every step, users define the goal and MiniMax Code builds the right agent team, soloing simple tasks and teaming up on complex work. The agent remembers habits, preferences, projects, and repeated workflows through persistent memory, generating skills over time so users do not have to explain the same context again. It is designed to work where people already chat, handling local files, remote work, schedules, teams, memories, and skills directly from the conversation. The product supports advanced coding and agentic workflows, including multi-file edits, test-validated repairs, long-horizon tool chains, planning, document summarization, creative writing, research, full-stack development, reports, presentations, web development, and everyday Q&A.Starting Price: $20 per month -
40
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 -
41
Apigene
Apigene
Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol. It exposes agent tools, context, skills, and instructions as a single remote MCP endpoint that is fully managed and governed, making MCP native rather than experimental. Apigene provides the full agent foundation layer as one MCP Gateway, allowing agents to securely access APIs and MCP servers without custom glue code or framework-specific logic. Teams can build AI agents using chat, defining which APIs and MCP servers the agent can use, how it should reason, and how it should act without code. It supports intelligent tool selection, automatically matching the right API or MCP tool to each request, and multi-platform deployment across ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI platforms, and custom apps.Starting Price: $200 per month -
42
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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Memory AGI
Memory AGI
Memory AGI is a runtime memory layer for AI agents, built around the idea of giving agents real muscle memory. Hand over a slice of company data, and Memory AGI builds the organization’s knowledge and runtime memory layer, grounds agents in the business, and keeps that context current automatically. Your AI is only as good as the context you give it; without it, agents stay stuck at an intern-level, guessing at how the company runs. Memory AGI turns processes into knowledge agents that can actually execute, so they run reliably, show their work, and can be trusted with what they ship. It is built on three layers of muscle memory. Dynamic Ingestion captures and structures the company’s unique knowledge from voice notes, internal documents, or the tools where data already lives. The Runtime Memory Layer gives agents access to a live, de-duplicated context layer; a company knowledge base that humans, agents, and automations can all draw on to perform tasks like the best employees. -
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Open Code Review
Alibaba
Open Code Review is an AI-powered code review CLI built from Alibaba’s battle-tested internal code review agent and validated across millions of real-world tasks. It reads Git diffs, sends changed files to a configurable LLM through an agent with tool-use capabilities, and generates structured review comments with precise line-level positioning. Rather than reviewing only the visible diff, the agent can read complete files, search the codebase, inspect related changes, and cross-reference context to uncover deeper issues. Its hybrid architecture separates deterministic engineering tasks such as file filtering, task splitting, rule routing, scheduling, and line positioning from LLM reasoning for risk detection, context exploration, and issue classification. A dedicated reflection module helps intercept hallucinations and knowledge drift before comments are returned. Review depth can be adjusted from low to high depending on the required balance of speed and thoroughness. -
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Keycard
Keycard
Keycard is an identity-and-access infrastructure platform built for the agent-native era, enabling developers and enterprises to securely connect AI agents, users, services, and APIs with real-time, policy-driven identity controls. It issues dynamic, ephemeral access tokens in place of static secrets and supports federated identity models to unify users, agents, and workloads under a distributed authorization framework. The platform provides drop-in SDKs for popular frameworks so developers can build agent-aware applications without becoming IAM experts. Keycard’s data model includes identity-attested agents, tasks, tools, and resources, allowing logical zones with context-aware permissions and auditability. On the policy side, security teams can define deterministic, task-based rules that enforce who (user/agent) can do what (task) on which resource under which conditions, all with full transparency. -
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Tragentics
Tragentics
Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. Tragentics runs no inference and executes no agent logic. It never reads or stores what your agents say. Every agent gets a permanent ID and an Ed25519 identity, keys are encrypted at rest with AES-256-GCM, and every call is authenticated, rate-limited, and recorded as metadata only — never payloads. Protocol-agnostic: it routes MCP, A2A, ACP, OpenAI, ANP, and DID traffic for the agents you already own.Starting Price: $39/month -
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Idira
Idira by Palo Alto Networks
Idira is Palo Alto Networks’ next-generation identity security platform built for the AI enterprise, designed to secure every human, machine, and agentic identity through one unified control plane. It modernizes privileged access management by extending privilege controls beyond administrators to every identity that can access sensitive systems, data, applications, cloud services, workloads, endpoints, secrets, certificates, SSH keys, and AI agents. It discovers identity risk, applies privilege dynamically, and governs the full lifecycle from first access to final session. Idira replaces static, always-on access with dynamic privilege, just-in-time access, zero standing privilege, continuous verification, policy-driven controls, and real-time enforcement based on identity, device, and context. For human identities, it unifies privileged access, workforce access, endpoint privilege management, and identity governance, helping organizations reduce privilege sprawl. -
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OpenViking
OpenViking
OpenViking is an open source context database designed specifically for AI agents, built around a file-system paradigm that unifies the management of memories, resources, and skills. Instead of treating context as scattered chunks in a fragmented vector store, OpenViking organizes agent context into a virtual file system under the viking protocol, giving agents a structured way to store, navigate, retrieve, and observe the information they need. It is designed to help developers move beyond the hassle of manual context management by giving agents a minimalist interaction model for context, similar to reading and writing files. OpenViking supports hierarchical context loading, semantic retrieval, recursive retrieval, sessions, metrics, and observability, making it possible for AI agents to access the right level of information without stuffing everything into the prompt.Starting Price: Free -
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Gentoro
Gentoro
Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack. -
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Permiso
Permiso Security
Permiso is an identity security platform that secures human, non-human, and AI identities across cloud, SaaS, and on-premises environments. The platform is built around its Universal Identity Graph, which connects identities to credentials, machines, agents, permissions, and runtime activity to provide continuous visibility across authentication boundaries. Permiso helps organizations discover identities, evaluate identity risk, detect threats, and defend against account compromise, insider threats, and attacks targeting AI agents and non-human identities. The platform combines identity discovery, posture management, runtime monitoring, threat detection, and response capabilities into a single identity security solution. It continuously analyzes identity behavior, permissions, tool calls, API activity, and machine interactions to identify suspicious activity before it becomes an incident.
