The project board agents actually use.
API-first orchestration for AI coding agents.
133 REST endpoints · 60ms p50 · Zero SDK needed.
Website · API Docs · Dashboard · Discord
Every agent run can be published as a public Run Card at r.baaton.dev/<token> — a shareable receipt with the agent name, summary, files changed, tests status, and a link to the PR. Auto-posts as a markdown comment on the GitHub PR when the run completes. Vendor-neutral: works with Cursor agents, Claude Code, Devin, Copilot, OpenClaw, or any agent that hits the Baaton API.
Every published Run Card is also available as a signed JSON receipt at
GET /api/v1/public/runs/<token>/receipt.json. The receipt is Ed25519-signed
by a per-org keypair and follows the agent-receipts protocol.
Verify any receipt by fetching the org's JWKS:
GET /api/v1/public/orgs/<org_id>/jwks.json
This is the same protocol Microsoft teaches in their AI Agents curriculum. Compatible with any tool or auditor that consumes the standard JSON-Web-Key Ed25519 format.
Drop this in any repo's README to show its Baaton activity:
The badge auto-refreshes every 5 minutes and shows total runs, runs reviewed, and runs in the past week. If the repo isn't tracked by Baaton, the badge shows "not tracked" (still 200 OK so the README rendering doesn't break).
AI agents can write code. They can't plan, triage, or report.
Linear, Jira, GitHub Issues — all built for humans clicking buttons. Your agent can't use them without scraping UIs or fighting GraphQL schemas.
Baaton is different. Every feature is an API endpoint. Agents create issues, update statuses, post summaries, and hand off to humans — in 60ms, with one curl.
# Your agent creates an issue
curl -X POST https://api.baaton.dev/api/v1/issues \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{"project_id":"...","title":"Fix auth timeout","priority":"high"}'
# Response includes _hints — the API tells agents what to do next
# → {"data": {"display_id": "BAT-42"}, "_hints": [{"action": "pull_context", ...}]}
# Agent does the work, then reports back
curl -X POST https://api.baaton.dev/api/v1/issues/BAT-42/tldr \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{"summary":"Fixed. Refactored auth module.","files_changed":["src/auth.rs"],"tests_status":"passed"}'Time from issue to review: 47 seconds. Zero UI.
| Baaton | Linear | Jira | GitHub Issues | |
|---|---|---|---|---|
| Agent creates issue via API | ✅ 1 call | ❌ GraphQL | ❌ REST but 15 required fields | |
| Agent gets guided next steps | ✅ _hints |
❌ | ❌ | ❌ |
| Agent reads project context | ✅ /context |
❌ | ❌ | ❌ |
| Agent posts work summary | ✅ TLDRs | ❌ | ❌ | ❌ |
| Human reviews agent work | ✅ Board + approvals | ❌ | ❌ | |
| Response time | 60ms | ~200ms | ~500ms | ~150ms |
| Self-hostable | ✅ | ❌ | ❌ | ❌ |
Every response includes contextual hints telling the agent what to do next:
{
"data": { "display_id": "BAT-42", "status": "in_progress" },
"_hints": [
{ "action": "add_tldr", "reason": "Post a summary when done", "priority": "recommended" },
{ "action": "pull_context", "endpoint": "GET /projects/{id}/context" }
]
}No SDK. No docs lookup. The API itself teaches agents how to use it.
curl https://api.baaton.dev/api/v1/public/skill
# Returns a complete agent instruction file — plug into any AI coding agentYour agent already speaks HTTP. A REST API with good docs beats 51 MCP tools.
- No
npm install - No version drift
- No wrapper abstractions
- Every LLM knows how to
curl
┌─────────────┐ ┌──────────────────┐ ┌────────────┐
│ AI Agent │────▶│ Baaton API │────▶│ PostgreSQL │
│ (any agent) │◀────│ Rust · Axum │◀────│ 17 │
└─────────────┘ └──────────────────┘ └────────────┘
│
┌──────┴──────┐
│ Dashboard │
│ React 19 │
└─────────────┘
| Layer | Tech |
|---|---|
| Backend | Rust · Axum 0.8 · sqlx · PostgreSQL 17 |
| Frontend | React 19 · Vite · TypeScript · Tailwind 4 |
| Auth | Clerk (frontend) + clerk-rs (backend) + API Keys (agents) |
| Deploy | Docker multi-stage · Dokploy · Self-hosted |
| Realtime | SSE streams · Webhooks (HMAC signed) |
133 routes covering:
- Issues — CRUD, bulk ops, search, filters, relations, recurring
- Projects — context, statuses, templates, auto-assign
- TLDRs — agent work summaries with test status
- Sprints & Milestones — planning and tracking
- Automations — trigger → action rules
- Webhooks — HMAC-signed event delivery
- Gamification — XP, streaks, leaderboards
- GitHub Sync — bidirectional issue/PR sync
- AI Chat — built-in assistant with project context
Full reference: curl https://api.baaton.dev/api/v1/public/docs
- Sign up at app.baaton.dev
- Create a project → Generate an API key
- Give your agent:
BAATON_URL=https://api.baaton.dev/api/v1+BAATON_API_KEY=baa_... - Done. First useful call in 60ms.
git clone https://github.com/rmzlb/baaton.git
cd baaton
# Backend
cd backend
cp .env.example .env # Configure DATABASE_URL + CLERK keys
cargo run # → http://localhost:4000
# Frontend
cd ../frontend
npm install && npm run dev # → http://localhost:3000docker compose up -d
# API: http://localhost:4000
# App: http://localhost:3000Public Run Cards are server-rendered at r.baaton.dev/:token. To enable, add a CNAME for r.baaton.dev pointing to your Dokploy host (same target as api.baaton.dev). Until DNS is set, runs are also reachable at api.baaton.dev/r/:token.
Set PUBLIC_RUN_ORIGIN=https://r.baaton.dev on the backend service env so canonical URLs and OG meta tags resolve correctly. If unset, falls back to https://r.baaton.dev.
Add these env vars to your agent:
BAATON_URL=https://api.baaton.dev/api/v1
BAATON_API_KEY=baa_your_key_hereThen give your agent the skill file:
curl https://api.baaton.dev/api/v1/public/skill > SKILL.md
# Add to your agent's context/instructionsThe baaton-pm skill is available:
# ~/.openclaw/skills/baaton-pm/SKILL.md (auto-loaded)Add the SKILL.md to your agent's instructions or use the MCP bridge (coming soon).
Measured on production (r7g.large, eu-west-3):
| Endpoint | p50 | p99 |
|---|---|---|
GET /projects |
61ms | 140ms |
GET /issues?limit=20 |
92ms | 145ms |
POST /issues |
78ms | 130ms |
GET /search?q=... |
74ms | 120ms |
- Full REST API (133 endpoints)
- GitHub bidirectional sync
- Webhooks with HMAC signing
- Agent TLDRs and context
-
_hintsin every response - Gamification (XP, streaks)
- OpenAPI 3.1 spec (auto-generated)
-
@baaton/mcpbridge for MCP-native agents - S3 attachment storage
- Stripe billing integration
- Mobile app
MIT — see LICENSE
Your agents deserve a board that speaks their language.
Get started · Read the API docs · Join Discord


