Concord – let Claude Code, Codex and Cursor talk to each other is a skill AI agent for Enables developers to coordinate multiple AI code assistants to jointly handle intricate code generation and refactoring. Pricing: not stated on the product page. As of 2026-11-05, KanonAgent records 9 upvotes. First indexed by KanonAgent on 2026-08-27.
Concord connects AI coding tools like Claude Code, Codex, and Cursor so developers can orchestrate multi-agent workflows for complex code tasks.
9 upvotes
Tracked by Kanon since Aug 27, 2026
Status basis: npm_downloads_7d momentum fell to -413 per 3d from 134 (<= 40% of the prior window)
📈 Timelinewhat changed, and when
- Cooling npm_downloads_7d momentum fell to -413 per 3d from 134 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 134 per 3d from 654 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -117 per 3d from 1325 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -117 per 3d from 1325 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 654 in the last 3d vs 32 in the 3d before (ratio 20.4x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 654 in the last 3d vs 32 in the 3d before (ratio 20.4x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -2096 per 3d from 216 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -2097 per 3d from 216 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 416 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 216 per 3d from 1298 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 216 per 3d from 2288 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 416 per 3d from 2069 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 416 per 3d from 2069 (<= 40% of the prior window)
- Anomaly daily change 1098.0 is 6.8 standard deviations from this entity's own prior mean (10.0±159.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 971 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 990.0 is 28.0 standard deviations from this entity's own prior mean (-14.5±35.9, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 971 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 990.0 is 28.0 standard deviations from this entity's own prior mean (-14.5±35.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -153 per 3d from 39 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -134 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -79 per 3d from 26 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 39 per 3d from 194 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 18 per 3d from 196 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 26 per 3d from 168 (<= 40% of the prior window)
🔎 Known / Unknown
12 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 2 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneEnables developers to coordinate multiple AI code assistants to jointly handle intricate code generation and refactoring.
AutonomyL2 · tool-calling(evidence: "Send live messages across harnesses, detect overlapping work…")
Who it is forDevelopers
Prerequisitesopen source · self-hostable
Integrationsmcp
Traction · why it is rising7 votes on Product Hunt, reflecting early momentum around AI agent interoperability.
Why it matters
It pioneers cross-tool collaboration among AI coding agents, creating a foundational experiment in agent-based development ecosystems.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“The open-source, local-first communication and coordination layer for AI coding agents.”— readme
“npm install -g @concord-ai/concord-mcp”— readme
“Send live messages across harnesses, detect overlapping work before agents edit, share decisions, and hand off tasks with evidence - through one MCP server.”— readme
“through one MCP server”— readme
“open-source, local-first communication and coordination layer”— readme
Signal source: Show HN
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FAQ
What is Concord?
Concord connects AI coding tools like Claude Code, Codex, and Cursor so developers can orchestrate multi-agent workflows for complex code tasks.
What does Concord do?
Enables developers to coordinate multiple AI code assistants to jointly handle intricate code generation and refactoring.
Why does Concord matter?
It pioneers cross-tool collaboration among AI coding agents, creating a foundational experiment in agent-based development ecosystems.
Is Concord open source?
Yes — Concord is open source.
Can I self-host Concord?
Yes — Concord can be self-hosted.
What does Concord integrate with?
mcp
How popular is Concord?
As tracked by KanonAgent: 9 upvotes (first indexed 2026-08-27).
What are the best Concord alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, archify, open-design, deer-flow, ruflo, career-ops.