AI Agents That Work With Linear (2026)
As of Aug 10, 2026, 15 AI agents in the KanonAgent index are judged to connect to Linear; this page covers the top 12 by real traction (12 with the source line quoted). Judgements come from quoted evidence, not vendor claims — where we cannot read it, we leave it blank.
Connecting an agent to Linear lets it pull real issues, push updates, and close the loop between chat, GitHub, and execution tracking. In 2026 the practical change is agents that treat Linear as the source of truth instead of just another notification channel.
Updated 2026-08-10 · 12 products · live data from KanonAgent
1. Eodly107 upvotes
Eodly reads Linear alongside Slack and GitHub so managers see what actually shipped each day instead of guessing from activity.
source: “Eodly reads Slack, Telegram, Discord, GitHub and Linear”
2. knowledge-work-plugins38 upvotes
knowledge-work-plugins adds Linear support to Claude Cowork so the agent can create and update issues directly from the knowledge base.
source: “Slack, Notion, Asana, Linear, Jira, Monday, ClickUp, Microsoft 365”
3. boop-agent37 upvotes
boop-agent pulls Linear issues into iMessage threads and lets you reply to update status without leaving the chat.
source: “connect Gmail, Slack, GitHub, Linear, Notion, and ~1000 others”
4. Memnox9 upvotes
Memnox ingests Linear history so agents understand past decisions and avoid recreating work already tracked.
source: “ingesting your GitHub, Slack, Discord, Linear and Jira history”
5. Conductor by Min15x - The Founder OS5 upvotes
Conductor turns a strategy note into Linear tasks and distributes them across Slack and the rest of the stack automatically.
source: “across Linear, Slack, and your entire tool stack”
MindFlock assigns parallel coding agents to Linear issues and keeps each branch isolated in its own Git worktree.
source: “Work assigned to you in Jira, Linear, GitHub Issues, Shortcut, or Asana”
Aident Loadout gives Codex 25k actions including Linear so the agent can create, assign, and close issues without manual steps.
source: “tools like Gmail, Slack, Linear, Google Sheets, Notion, HubSpot, Firecrawl, Exa, and Fal”
8. OSS Pi Agent for Slack and Linear3 upvotes
OSS Pi Agent listens in Slack and writes or updates Linear issues to keep development workflows in one place.
source: “Slack bot (Socket Mode)”
Aident Loadout connects Claude Code and Codex to Linear so generated code changes are tied back to the original issue.
source: “Gmail, Slack, Linear, Google Sheets, Notion, HubSpot, Firecrawl, Exa, and Fal”
10. Cloud for your AI Agent's tools/fuctions2 upvotes
The cloud platform exposes Linear as one of 800 OAuth tools so agents can call it from any hosted function.
source: “800+ OAuth integrations: Salesforce, GitHub, Slack, HubSpot, Stripe, Notion, Linear”
The personal-internet agent pulls Linear issues into its context so responses reflect the actual current task list.
source: “GitHub, Drive, Gmail, Notion, Slack, Linear, Jira, Asana”
OldHand checks that code generated for a Linear issue passes end-to-end verification before the issue is marked done.
source: “Jira, Asana, monday.com, Linear, or GitHub issue”
Before you wire it up
Prefer agents whose quoted evidence shows direct Linear read/write rather than generic OAuth mentions. Check whether the integration uses Linear's API scopes for issue creation and comments or only read access. Rate limits on Linear's issue endpoints and webhook reliability are the two things that usually break first when agents run at scale.
FAQ
Do these agents need full Linear admin access?
Most only request issue and comment scopes; check the exact OAuth scopes listed for each agent before connecting.
What breaks when Linear rate limits are hit?
Agents stop creating or updating issues until the window resets; some fall back to Slack notifications instead.
Can an agent close Linear issues automatically?
Only the agents with explicit write evidence (Eodly, Conductor, Aident Loadout, OSS Pi) currently support closing issues.
How is this list ranked?
By real traction from our index (upvotes / MRR / growth rate, whichever the product actually has) — not editorial picks, and we do not accept paid placement. Sources: ProductHunt, Hacker News, GitHub, HuggingFace, Reddit, TrustMRR.
What is the inclusion bar?
A page is published only when at least 5 real products qualify. Judgement fields (autonomy, prerequisites, cost, integrations) all require a source quote — where we cannot read it, we leave it blank rather than guess.
How often is this updated?
Collection runs continuously; this page was regenerated on 2026-08-10. Every number is verifiable through our public read-only API: https://kanonagent.com/data