taskflow
Skill5.7k starsChanged 37 days agoApache-2.0View on GitHub
Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.
7 other projects use a version of this, 3 of them edited.
Trending
Quiet since September.about the whole repository
Most recently taken up by
- QVerisAI/QVerisBotword for word, first seen Nov 1, 2026
- MelbourneDeveloper/dart_nodetheir own version, first seen Oct 9, 2026
- AtomicBot-ai/atomicbotedited, first seen Oct 8, 2026
- casibase/casibaseword for word, first seen Oct 8, 2026
- spinabot/brigadeedited, first seen Oct 8, 2026
- lordmacu/nexo-rstheir own version, first seen Apr 24, 2026
Who's talking about the-open-agent/openagent
- @golangoss.bsky.social“openagent (⭐️ 5515) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Aug 16, 2026 · 2 likes
- @golangoss.bsky.social“openagent (⭐️ 5334) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Jul 4, 2026 · 1 likes
- @golangoss.bsky.social“openagent (⭐️ 5309) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · Jun 27, 2026 · 1 likes
- @golangoss.bsky.social“openagent (⭐️ 5086) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting …”Bluesky · May 30, 2026 · 1 likes
- Shubhamsaboo/awesome-llm-apps“Add OpenAgent — self-hostable AI assistant platform with LLM, RAG, agent loops & MCP”GitHub · May 3, 2026 · 1 reactions
The biggest 5 of 30 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 30
Talked about on GitHub and Bluesky (30 times).
On GitHub · 26
- May 3, 2026Add OpenAgent — self-hostable AI assistant platform with LLM, RAG, agent loops & MCP — Shubhamsaboo/awesome-llm-apps1 reaction · 1 comment
- Sep 20, 2026[开源自荐] OpenAgent:一个 exe 就能跑的自托管 AI Agent 平台 — 521xueweihan/HelloGitHub0 reactions
- Sep 20, 2026【开源自荐】OpenAgent:一个 exe 就能跑的自托管 AI Agent 平台,Agent 能开浏览器、跑命令、写 Office — GitHubDaily/GitHubDaily0 reactions
- Sep 20, 2026【开源自荐】OpenAgent:Go 写的自托管 AI Agent 平台,单二进制、Windows 原生跑,工具权限用 Casbin — polaris1119/golangweekly0 reactions
- Aug 2, 2026feat: detect OpenAgent — casdoor/casdoor-aiguard0 reactions
21 more on GitHub
- Aug 2, 2026[feature] detect OpenAgent — casdoor/casdoor-aiguard0 reactions
- Jul 8, 2026test: add MCP intranet scan unit tests — Ayush7614/openagent0 reactions · 3 comments
- Jul 8, 2026fix: Ollama embeddings URL + safer i18n errors — Ayush7614/openagent0 reactions · 3 comments
- Jul 8, 2026fix: robust SKILL.md front-matter parsing + new Ollama skill — Ayush7614/openagent0 reactions · 3 comments
- Jul 5, 2026feat: add SendNotification API — casdoor/casdoor-go-sdk0 reactions
- Jun 24, 2026[feature] remove Conf.js config — casosorg/casos0 reactions · 1 comment
- Jun 6, 2026[Add] Casibase / OpenAgent (the-open-agent/openagent) — PyTorchKR/landscape0 reactions
- May 26, 2026【开源自荐】OpenAgent:一个二进制文件跑起来的 AI Agent 平台(4900+ Star) — ruanyf/weekly0 reactions · 1 comment
- May 18, 2026feat: add shell tool for command execution and background sessions — AidenAI-IO/aico-link0 reactions · 1 comment
- May 5, 2026Add OpenAgent to Agent Frameworks (General Purpose) — caramaschiHG/awesome-ai-agents-20260 reactions
- May 5, 2026Add OpenAgent to Autonomous Agent Task Solver Projects — Jenqyang/Awesome-AI-Agents0 reactions
- May 5, 2026Add OpenAgent to open-source projects — e2b-dev/awesome-ai-agents0 reactions
- May 5, 2026Add OpenAgent between OpenAGI and OpenAI — slavakurilyak/awesome-ai-agents0 reactions · 1 comment
- May 5, 2026Add OpenAgent (data/openagent.yml) — alternbits/awesome-ai-agents0 reactions
- May 5, 2026Add OpenAgent to Browser & Computer Use Agents section — tysoncung/awesome-ai-agents0 reactions
- May 3, 2026Add OpenAgent — open-source personal AI assistant with LLM, RAG, agent loops & MCP Body: — slavakurilyak/awesome-ai-agents0 reactions · 2 comments
- May 3, 2026Add OpenAgent — self-hostable AI assistant platform with LLM, RAG, agent loops & MCP — av/awesome-llm-services0 reactions
- May 3, 2026Add OpenAgent — open-source AI assistant platform with built-in LLMOps observability, usage analytics & admin dashboard — tensorchord/Awesome-LLMOps0 reactions
- May 3, 2026Add OpenAgent — open-source personal AI assistant platform with LLM, RAG, agent loops & MCP — taishi-i/awesome-ChatGPT-repositories0 reactions · 1 comment
- May 3, 2026Add OpenAgent — open-source personal AI assistant with LLM, RAG, agent loops & MCP — e2b-dev/awesome-ai-agents0 reactions · 2 comments
- Apr 26, 2026[Trend Scout] the-open-agent/openagent — magicpro97/copilot-session-knowledge0 reactions · 1 comment
On Bluesky · 4
- Aug 16, 2026openagent (⭐️ 5515) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social2 likes and reposts
- Jul 4, 2026openagent (⭐️ 5334) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
- Jun 27, 2026openagent (⭐️ 5309) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
- May 30, 2026openagent (⭐️ 5086) ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and… — @golangoss.bsky.social1 likes and repost
Other versions7 projects use a version of this.
Word for word · 2
- casibase/casibase★ 5.7k100% same
- QVerisAI/QVerisBot★ 184100% same
Edited · 3
- spinabot/brigade★ 11k99% same
- AtomicBot-ai/atomicbot★ 325100% same
- OpenGitCode/OpenShell★ 099% same
Wrote their own version · 2
- MelbourneDeveloper/dart_node★ 113same name
- lordmacu/nexo-rs★ 8same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository54 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- 1passwordSkill
- apple-notesSkill
- apple-remindersSkill
- bear-notesSkill
- blogwatcherSkill
- blucliSkill
- bluebubblesSkill
- camsnapSkill
- canvasSkill
- clawhubSkill
- coding-agentSkill
- discordSkill
- eightctlSkill
- geminiSkill
- gh-issuesSkill
- gifgrepSkill
- githubSkill
- gogSkill
- goplacesSkill
- healthcheckSkill
- himalayaSkill
- imsgSkill
- mcporterSkill
- model-usageSkill
- nano-pdfSkill
- node-connectSkill
- notionSkill
- obsidianSkill
- openai-whisper-apiSkill
- openai-whisperSkill
- openhueSkill
- oracleSkill
- ordercliSkill
- peekabooSkill
- powerpointSkill
- sagSkill
- session-logsSkill
- sherpa-onnx-ttsSkill
- skill-creatorSkill
- slackSkill
- songseeSkill
- sonoscliSkill
- spotify-playerSkill
- summarizeSkill
- taskflow-inbox-triageSkill
- things-macSkill
- tmuxSkill
- trelloSkill
- video-framesSkill
- voice-callSkill
- wacliSkill
- weatherSkill
- xurlSkill
The file
We split this skill into the rules it gives an agent
9 rules. 3 are common, 0 are distinctive, and 6 are very specific to this project.
3
Common
Most of the 4 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 9
Use TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one …
- Common: line 53
Use managed TaskFlows when your code owns the orchestration.
- Very specific: line 55
Treat stateJson as the persisted state bag.
- Very specific: line 56
Every mutating method after creation is revision-checked.
- Common: line 131
Use the flow runtime for state and task linkage.
- Very specific: line 140
Put human-readable wait reasons in blockedSummary or structured wait metadata in waitJson.
- Very specific: line 141
Use getTaskSummary(flowId) when the orchestrator needs a compact health view of child work.
- Very specific: line 142
Use requestCancel(...) when a caller wants the flow to stop scheduling immediately.
- Very specific: line 143
Use cancel(...) when you also want active linked child tasks cancelled.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
TaskFlow
Use TaskFlow when a job needs to outlive one prompt or one detached run, but you still want one owner session, one return context, and one place to inspect or resume the work.
When to use it
- Multi-step background work with one owner
- Work that waits on detached ACP or subagent tasks
- Jobs that may need to emit one clear update back to the owner
- Jobs that need small persisted state between steps
- Plugin or tool work that must survive restarts and revision conflicts cleanly
What TaskFlow owns
- flow identity
- owner session and requester origin
currentStep,stateJson, andwaitJson- linked child tasks and their parent flow id
- finish, fail, cancel, waiting, and blocked state
- revision tracking for conflict-safe mutations
It does not own branching or business logic. Put that in Lobster, acpx, or the calling code.
Current runtime shape
Canonical plugin/runtime entrypoint:
api.runtime.tasks.flowapi.runtime.taskFlowstill exists as an alias, butapi.runtime.tasks.flowis the canonical shape
Binding:
api.runtime.tasks.flow.fromToolContext(ctx)when you already have trusted tool context withsessionKeyapi.runtime.tasks.flow.bindSession({ sessionKey, requesterOrigin })when your binding layer already resolved the session and delivery context
Managed-flow lifecycle:
createManaged(...)runTask(...)setWaiting(...)when waiting on a person or an external systemresume(...)when work can continuefinish(...)orfail(...)requestCancel(...)orcancel(...)when the whole job should stop
Design constraints
- Use managed TaskFlows when your code owns the orchestration.
- One-task mirrored flows are created by core runtime for detached ACP/subagent work; this skill is mainly about managed flows.
- Treat
stateJsonas the persisted state bag. There is no separatesetFlowOutputorappendFlowOutputAPI. - Every mutating method after creation is revision-checked. Carry forward the latest
flow.revisionafter each successful mutation. runTask(...)links the child task to the flow. Use it instead of manually creating detached tasks when you want parent orchestration.
Example shape
const taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);
const created = taskFlow.createManaged({
controllerId: "my-plugin/inbox-triage",
goal: "triage inbox",
currentStep: "classify",
stateJson: {
businessThreads: [],
personalItems: [],
eodSummary: [],
},
});
const classify = taskFlow.runTask({
flowId: created.flowId,
runtime: "acp",
childSessionKey: "agent:main:subagent:classifier",
runId: "inbox-classify-1",
task: "Classify inbox messages",
status: "running",
startedAt: Date.now(),
lastEventAt: Date.now(),
});
if (!classify.created) {
throw new Error(classify.reason);
}
const waiting = taskFlow.setWaiting({
flowId: created.flowId,
expectedRevision: created.revision,
currentStep: "await_business_reply",
stateJson: {
businessThreads: ["slack:thread-1"],
personalItems: [],
eodSummary: [],
},
waitJson: {
kind: "reply",
channel: "slack",
threadKey: "slack:thread-1",
},
});
if (!waiting.applied) {
throw new Error(waiting.code);
}
const resumed = taskFlow.resume({
flowId: waiting.flow.flowId,
expectedRevision: waiting.flow.revision,
status: "running",
currentStep: "finalize",
stateJson: waiting.flow.stateJson,
});
if (!resumed.applied) {
throw new Error(resumed.code);
}
taskFlow.finish({
flowId: resumed.flow.flowId,
expectedRevision: resumed.flow.revision,
stateJson: resumed.flow.stateJson,
});Keep conditionals above the runtime
Use the flow runtime for state and task linkage. Keep decisions in the authoring layer:
business→ post to Slack and waitpersonal→ notify the owner nowlater→ append to an end-of-day summary bucket
Operational pattern
- Store only the minimum state needed to resume.
- Put human-readable wait reasons in
blockedSummaryor structured wait metadata inwaitJson. - Use
getTaskSummary(flowId)when the orchestrator needs a compact health view of child work. - Use
requestCancel(...)when a caller wants the flow to stop scheduling immediately. - Use
cancel(...)when you also want active linked child tasks cancelled.
Examples
- See
skills/taskflow/examples/inbox-triage.lobster - See
skills/taskflow/examples/pr-intake.lobster - See
skills/taskflow-inbox-triage/SKILL.mdfor a concrete routing pattern
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

