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Yes. Makes tons of sense and been working towards that. Yesterday I merged "prompt queuing", allowing a user to queue prompts while and agent is busy working. That was a prerequisite for some sort of callback on these forked or spawned sub sessions to be able to reliably cross communicate. Now needing to think about the mechanics of all this, but I'm thinking you don't always want or need for the sub session to return to the main thread (or do we!?). Also unlike sub agent/task-tool in Claude code, the main thread is still promptable while the task is running. I think in Claude code with the task tool, the last agent answer is fed back into the main thread, which seems reasonable, clearly there's not benefit of threading if the whole context is brought back ... I'm thinking a system-generated message seem most reasonable as a default callback. It would prompt something "hey parent agent, this is a system callback from subsession {sessionId}, letting you know that the agent is done with it's initial prompt. The original prompt was {prompt} and the last response was {response} . Now if you want you can do all sorts of things with the internal MCP, like1. Dig deeper as to what happen within the sub session using {mcptool1} or keep prompting this agent using {mcptool2} ... ". |
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Perhaps it would be beneficial to think of it as async function calls. So you have your main chat, which is the entry point to the program. So as it's executing, it would call these functions, which would basically be it would generate what needed to happen and the shape of the result, then proc a new context window and pass it that entire "function" to execute, which perhaps along the way requires more function calls that go on the stack so to speak, and then all return up the chain. |
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Yeah I think what you describe matches what I'm thinking. There's just no direct notion of a So when you'd trigger a session that's meant to contain a report, you'd pick a report template associated with that session. Now these report objects could be used for agent cross communication, and would leave useful metadata behind. Say if you fire 28 refactors in parallel in as many sessions, you'd have consistent reporting on each session, fitting your report template you defined upfront. So say when you fire up a subsession, the report would be a great artifact to share back with the parent thread. Subagent says "I've done the work, now check out this report ..." All this pretty heavy-handed, and force people to use this complicated-yet-useful pattern. Implies the system can provide much stronger guarantees, but has more constraints (like defining a report template for a task, and associated the task to the report tempalte). Maybe could be implemented as a very optional thing, like if you want to use this complex subsystem you can, but works totally fine if you don't. I kind of hate mutating people's prompts and injecting stuff like "hey agent, btw, this session is associated with at report template, so you should produce a report at this specific file location when you're done ....". About the report generation idea. It can work neatly with ephemeral, one time session forked session. Like to generate a report at any time for a given session, the system would fork any given session and prompt with "can you produce a report based on the work done so far in this session, the template you need to fill is located at {template_location} and the filed report you generate should be filed at {report_location}.". That way, the fork has full context to generate the report, but doesn't muddy the session it's generated from and burn the context window there. Similarly had the idea to manage [optional] context nuggets, as files in Not sure if any or all of this is useful/necessary now though. I mean it's pretty to say "do the ts-migration for this one file, make sure to read {relevant context files} before you do". But if we were to attach more of these conventions as structured data, Agor UI could be richer, showing clearly the context nuggets that went into a given session, and showing the report that was generated in the UI ([produce a session report], [show session report]) I'm kind of leaning towards keeping a lot of this light, or 100% optional. Like if you want to do it this way you get a nicer experience, but need to fill in a bit more forms and provide structure if you want to follow this framework. I think generally people would benefit from the optionality to follow more structure around context engineering and session management though, for sure. |
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What: Sync agent artifacts to Zep with importance beacons that indicate relevance per agent. How: Local proxy injects single-character beacons (🔴🟡⚡) into LLM responses when high-importance artifacts exist. Why: Zero context pollution + zero interruption + zero latency = agents coordinate like telepaths without the chaos. Result: Agor becomes the first agent orchestrator with true semantic coordination. Not just parallel execution, but intelligent collaboration that scales. I use this locally to stitch together multiple CLIs. Would be great to see it in Agor. May let claude off the lease while at work and also knock out a skill/plugin and check into this up later tn. |
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Oh I just looked Zep up. A memory layer / knowledge graph seem interesting here. Not sure exactly where in the framework that plugs in, or how we'd scope/namespace things in there, probably repo-based. Curious to better understand your workflow. On my side I've been using the repo itself for "memory" or knowledge accumulation, see how I do it in this folder -> https://github.com/preset-io/agor/tree/main/context --- Of course that's limited to very structured and congealed stuff, there's no database in there where you can ask what other agents are doing right now. Though in Agor itself, agents can answer this question pretty effectively -> "tell me about what the other active agents are currently doing on this worktree" and any agent can look up active/recent sessions. Maybe for this idea of the context/report system, using a knowledge graph would be pretty neat. File all that in a knowledge graph and have the Agor MCP expose a "search-agor-knowledge-base". Thinking about garbage collection here too as not all knowledge is useful to retain long term. |
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I've been playing around with this project and spinning up a team of agents where each one has a mailbox, which acts kind of like a queue. There is an orchestration layer that essentially handles detecting when a session goes idle, where it then asks a free model what to do next based on the context and the agents mailbox contents. The idea is to act like me where I'm just fielding passing "yes keep going following the plan until no tasks are available" over and over until a big snag is hit. You kind of want an escape valve. https://github.com/Dicklesworthstone/mcp_agent_mail Might be interested to see how he's using that project but it does introduce a lot of overhead in my playing with it and beads for issue tracking. |
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Interesting project! Are you looking to use Agor as a potential backend for it? Sidetracking here, but realized yesterday that Agor being pretty modular and having a solid REST/ts-client/CLI could probably be used externally to manage git worktrees and firing agents on top of them in a "headless" (GUI-free) kind of way. |
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Thread is old, but wanted to point to the knowledge base https://agor.live/guide/knowledge that serves as an "active" memory system (agent has to actively search/fetch), and wanted to point to this newer thread: #2315 that points more to a passive [almost subconscious] memory injection system via system prompt. |
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Hi, just watched the video demo of agor. It would be more powerful if you could open a new agent to do a subtask and then just put the result back into your main chat.
People are already doing this to not pollute their main chat window with unnecessary context, but I don't think there is any easy to use UIs to do this.
Like you have the fork or what not, and can do parallel agents, but the agents arnt talking to one another. Perhaps a chat room where agents have tool-use on writing to and reading from, and they keep each other in the loop on what each is doing. Perhaps even a orchestration context window that's monitoring that chat and can inject prompt commands into any one of the agents.
Anyways this is a really cool project.
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