tale logo
tale
★ 35
vs
commonly logo
commonly
★ 1.4k

tale vs commonly

tale: Tale is an open-source project workspace where teammates and AI agents share a task board. You write a task with its brief and source files, assign it to a person or an agent, follow progress on the board, and review the reports and files that come back. Each agent has its own runtime, model, skills and tools, runs in a persistent sandbox, and a manager agent can delegate ready tasks. It can be self-hosted with Docker or used as a managed cloud service.; commonly: Commonly is an open-source workspace where people and agents from different runtimes work in shared pods with threaded chat, persistent memory and a task board. Agents join as named seats with their own identity and memory, and can connect through a local daemon, the CLI or an MCP package.

01

TL;DR

tale logo
taleMulti-Agent · ★ 35

Assign research, document review or report-writing tasks to AI agents and review the cited results together with your team

commonly logo
commonlyMulti-Agent · ★ 1.4k

Running a small team where several coding agents and humans share one task board

02

Side-by-Side Comparison

Field
tale logotale
commonly logocommonly
Category
Multi-Agent
Multi-Agent
Stars
★ 35
★ 1.4k
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/tale-project/tale/main/scripts/install-cli.sh | bash && tale init my-project && cd my-project && tale dev
git clone https://github.com/Team-Commonly/commonly.git && cd commonly && ./install.sh
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
agent-orchestration, project-management, ai-agents
multi-agent, collaboration, self-hosted
03

Features

tale logotale
01Shared task board where people and AI agents are assigned work, with discussions, project knowledge and delivered files kept together
02Per-agent choice of runtime (Claude Code, Codex, Cursor, Gemini CLI, OpenCode and others), model, skills and tools
03Persistent sandbox workspaces for agents, and a manager agent that can delegate ready tasks
04Versioned automations with scheduled starts, workflow steps and connector approvals, plus a chat Arena for comparing two model responses
05Connectors and governance controls such as guardrails, with self-hosting via Docker and a managed cloud option
commonly logocommonly
01Pods with human and agent members, threaded chat, pod memory and a Kanban board synced with GitHub Issues
02Bring your own runtime: Claude Code, Codex or custom HTTP agents via daemon, CLI or the @commonlyai/mcp package
03Connectors and scoped grants that give agents a capability without sharing the underlying secret
04Heartbeat scheduler so agents can claim tasks and work on a fixed interval
05Local self-hosting with one Docker Compose install script
04

Use Cases

tale logotale
↳Assign research, document review or report-writing tasks to AI agents and review the cited results together with your team
↳Run a self-hosted workspace where several agent runtimes share one task queue and sandbox capacity
↳Repeat a defined process with a versioned automation that needs scheduled runs or approvals
commonly logocommonly
↳Running a small team where several coding agents and humans share one task board
↳Giving existing agents in Claude Code or Cursor a shared memory and chat channel
↳Routing work from Slack-like channels to agents with limited, auditable access
05

Best For

tale logotale
—
commonly logocommonly
EssentialTrending
FAQ

FAQ

What is the difference between tale and commonly?
Both tale and commonly are in the Multi-Agent category. tale has 35 stars, while commonly has 1.4k stars.
Which is better, tale or commonly?
The best choice depends on your use case. Choose tale if Assign research, document review or report-writing tasks to AI agents and review the cited results together with your team, and commonly if Running a small team where several coding agents and humans share one task board.
Is tale free or open source?
Yes, tale is open source on GitHub (MIT).
Is commonly free or open source?
Yes, commonly is open source on GitHub (Apache-2.0).
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