Assistly vs Cleo - The AI Product Manager: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Assistly and Cleo - The AI Product Manager — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Assistly
Assistly
A live meeting assistant for Mac and Windows that reads call audio locally and shows guidance in an overlay excluded from screen shares.
Key features
- Bot-Free System Audio Capture: Works from your computer's audio rather than joining the meeting, so nothing appears in the participant list and there is nothing to integrate with the call app.
- Screen-Capture-Excluded Overlay: The assistant window is excluded from screen capture at the OS level, so it stays visible to you and invisible in shares and recordings.
- Auto-Assist Without Prompting: Detects when a question lands or when you think out loud and streams structured talking points into your thread automatically, with no hotkey and no break in eye contact.
- Multi-Speaker Language Tracking: Separates your voice from other participants and follows who said what across dozens of auto-detected languages, even when the call switches language mid-sentence.
- Two-Way MCP Context: Pulls context from Google Calendar, Notion, Linear or any MCP server during the call, and exposes your meeting history back over MCP so Claude, ChatGPT or Cursor can query it later.
- Personas from Your Material: Builds a persona from your CV, docs and notes and switches modes for a sales call, client review or interview so responses match your background and phrasing.
- Automatic Recap and Action Items: Turns the transcript into a summary with owners and deadlines the moment the call ends, auto-saved and searchable across sessions.
- Per-Client Projects: Files each session to a project based on the calendar, and scopes answers and mid-call lookups to that client's history so context never crosses between accounts.
Best for
- Live Sales Calls: Surfacing objection handling and product detail the instant a prospect asks, without breaking eye contact to search a doc.
- Client Account Reviews: Recalling what was committed to a specific client in a previous session, with the source call cited, while the review is still running.
- Non-Native Language Meetings: Following a call that switches language mid-sentence and receiving guidance in clear English.
- Customer Success Handoffs: Leaving every call with a written summary and assigned action items instead of reconstructing notes afterwards.
- Meetings Where Bots Are Unwelcome: Getting live assistance on calls with clients or legal teams who object to a recording bot joining the room.
- Querying Past Meetings from Your Editor: Asking Claude, ChatGPT or Cursor what was agreed in a past session over MCP without opening the app.
Cleo - The AI Product Manager
kryptobaseddev / CleoCode
Agent-first task orchestration platform with persistent memory and multi-provider coordination for long-running developer workflows.
Key features
- Persistent Session Memory: Stores and surfaces long-lived context across agent sessions so work survives interruptions and agents can resume with historical state.
- Multi-Provider Coordination (CAAMP): Unified provider registry and managed agent packages (@cleocode/caamp) to integrate and coordinate multiple model providers and plugins.
- Long-Running Runtime Layer: Runtime supporting polling, server-sent events (SSE), and heartbeat mechanisms to run long-lived processes and background tasks reliably.
- Core Business Logic SDK: @cleocode/core provides task, session, memory, orchestration and lifecycle primitives for building structured agent workflows and pipelines.
- Command-Line Product: @cleocode/cleo offers a thin CLI wrapper to interact with the framework, run agents, and manage tasks from developer terminals.
- Batteries-Included Distribution: @cleocode/cleo-os bundles CANT bridge and TUI extensions for an out-of-the-box experience with additional tooling and interfaces.
- Agent-Managed Packages: Support for modular agent packages that encapsulate provider configurations, capabilities and reusable behaviors for consistent orchestration.
- Lifecycle & Interruption Resilience: Built-in structures for task lifecycles and state transitions so agent workflows can pause, resume, and recover deterministically.
- Agent-first task orchestration (structure, lifecycle, session management)
- Persistent memory across sessions and interruptions
- Multi-provider coordination and unified provider registry (CAAMP)
- Business logic SDK for tasks, sessions, memory and orchestration (@cleocode/core)
- Long-running process support with runtime layer (polling, SSE, heartbeat) (@cleocode/runtime)
- Command-line interface for developer workflows (@cleocode/cleo)
- Batteries-included distribution with bridge and TUI extensions (@cleocode/cleo-os)
- Provider & MCP management for multi-provider setups (@cleocode/caamp)
- Modular monorepo packaging (npm/pnpm, package.json, TypeScript) and native components (Cargo manifest present)
Best for
- Coordinating Multi-Agent Development Workflows: Orchestrate specialist agents (e.g., code-writing, testing, documentation) across a project while preserving shared context.
- Long-Horizon Project Work: Run background, long-running tasks (research, refactors, data processing) with runtime heartbeats and automatic resumption after interruptions.
- Provider-Agnostic Agent Pipelines: Build pipelines that combine outputs from multiple model providers and managed packages via a unified registry for redundancy and best-of-breed selection.
- CLI-Based Agent Operations: Enable developers to run, inspect, and manage agent tasks locally from the terminal using the CLEO command-line interface.
- Stateful Session Automation: Maintain project-specific memory and session history to let agents make decisions based on accumulated context and prior outputs.
- Packaging and Reuse of Agent Capabilities: Create and share modular agent packages for common tasks (e.g., QA, summarization, code generation) to standardize workflows.
- Embedding Agents into Products: Use the cleo-os distribution and CANT bridge to integrate orchestrated agent workflows into TUI tools or product demos.
- Coordinating multiple LLM/agent providers in complex software projects
- Building long-running agent processes that survive interruptions and maintain state
- Developer workflows requiring persistent task memory and session lifecycle
- Integrating provider registries and managing multiple model/connector providers (MCPs)
- Embedding agent orchestration into CLIs, TUI tools or server-side runtimes