4 ms·

Show HN: A lightweight way to make agents talk without paying for API usage

58 points by juanpabloaj 6mo ago

swingboy 6mo ago
I put together a skill to do this with OpenCode and the GitHub Copilot provider. Works pretty well.
pitched 6mo ago
I’ve been keeping them open in tmux and using either send_keys or paste buffer for communication. Using print mode and always resume last means you can’t have parallel systems going.
scalefirst 6mo ago
Have you seen https://www.roborev.io/ https://www.roborev.io/ from Wes McKinney?
- perelin 6mo ago
  Any personal experience with it? Recommended?
  - nicolailolansen 6mo ago
    It's top notch. Big recommend!
glashatay 6mo ago
[dead]
dragonfax 6mo ago
Claude Code (subscription) has Agent Teams built in. Teams of Agents communicate with local files that they use as inboxes and task list. Has tmux and iTerm 2 integration. https://code.claude.com/docs/en/agent-teams https://code.claude.com/docs/en/agent-teams They can rack up some extra tokens if you leave agents going idle. Because they loop, checking for new messages for them. This fellow reverse-engineered exactly how it works and then abstracted the pattern into an MCP server that any Harness/agent can use. https://github.com/cs50victor/claude-code-teams-mcp https://github.com/cs50victor/claude-code-teams-mcp
theoperatorai 6mo ago
[dead]
DeathArrow 6mo ago
In Cursor or OpenCode is very easy, just change the LLM in the same conversation.
saadn92 6mo ago
[dead]
kumardeepanshu 6mo ago
[dead]
pidgeon_lover 6mo ago
> use the subscription plans you already have, avoid paying for API usage, and keep the setup simple enough that you can try it in a few minutes. That interested me, but the article does not explain how to do this at all. I was hoping it would tell how use my work's ChatGPT Pro subscription via the CLI without having to pay per token over their API.
d4rkp4ttern 6mo ago
My regular workflow is to run code agents in Tmux panes and often I have Claude Code consult/collaborate with Codex, using my tmux-cli [1] tool, which is a wrapper around Tmux that provides good defaults (delay etc) for robust sending of messages, and waiting for completion etc. [1] https://pchalasani.github.io/claude-code-tools/tools/tmux-cli/ https://pchalasani.github.io/claude-code-tools/tools/tmux-cl...
harish124 6mo ago
Using tmux session as short-term memory is great idea. When you force a model to look at other model's cli history they tend to stay focussed on the technical constraints already discussed. Also, I like this idea because now the agents are not talking in private, they're talking in a window you can peek into. If you see the two AI agents starting to get confused or repeating mistakes, you can just hop into that same window, type a quick correction, and jump back out.
7777777phil 6mo ago
> whether the final result is actually better, or whether it is just a more polished hallucinatio Agents sampled from the same base model agreeing with each other isn't validation, it's correlation. Cheaper orchestration mostly amplifies whatever bias the model already has. Neat hack though.
leninkatta 6mo ago
[dead]
Olivia_Pan 6mo ago
[dead]
raffaeleg 5mo ago
[flagged]
tahosin 5mo ago
[dead]
natloz 5mo ago
Any methods to reduce the cost of using AI (which can be exorbitant) is welcome!

58 points by juanpabloaj 6mo ago

I put together a skill to do this with OpenCode and the GitHub Copilot provider. Works pretty well.

I’ve been keeping them open in tmux and using either send_keys or paste buffer for communication. Using print mode and always resume last means you can’t have parallel systems going.

scalefirst 6mo ago

Have you seen https://www.roborev.io/ https://www.roborev.io/ from Wes McKinney?

perelin 6mo ago
Any personal experience with it? Recommended?
- nicolailolansen 6mo ago
  It's top notch. Big recommend!

glashatay 6mo ago

[dead]

dragonfax 6mo ago

Claude Code (subscription) has Agent Teams built in. Teams of Agents communicate with local files that they use as inboxes and task list. Has tmux and iTerm 2 integration. https://code.claude.com/docs/en/agent-teams https://code.claude.com/docs/en/agent-teams They can rack up some extra tokens if you leave agents going idle. Because they loop, checking for new messages for them. This fellow reverse-engineered exactly how it works and then abstracted the pattern into an MCP server that any Harness/agent can use. https://github.com/cs50victor/claude-code-teams-mcp https://github.com/cs50victor/claude-code-teams-mcp

theoperatorai 6mo ago

[dead]

DeathArrow 6mo ago

In Cursor or OpenCode is very easy, just change the LLM in the same conversation.

saadn92 6mo ago

[dead]

kumardeepanshu 6mo ago

[dead]

pidgeon_lover 6mo ago

> use the subscription plans you already have, avoid paying for API usage, and keep the setup simple enough that you can try it in a few minutes. That interested me, but the article does not explain how to do this at all. I was hoping it would tell how use my work's ChatGPT Pro subscription via the CLI without having to pay per token over their API.

d4rkp4ttern 6mo ago

My regular workflow is to run code agents in Tmux panes and often I have Claude Code consult/collaborate with Codex, using my tmux-cli [1] tool, which is a wrapper around Tmux that provides good defaults (delay etc) for robust sending of messages, and waiting for completion etc. [1] https://pchalasani.github.io/claude-code-tools/tools/tmux-cli/ https://pchalasani.github.io/claude-code-tools/tools/tmux-cl...

harish124 6mo ago

Using tmux session as short-term memory is great idea. When you force a model to look at other model's cli history they tend to stay focussed on the technical constraints already discussed. Also, I like this idea because now the agents are not talking in private, they're talking in a window you can peek into. If you see the two AI agents starting to get confused or repeating mistakes, you can just hop into that same window, type a quick correction, and jump back out.

7777777phil 6mo ago

> whether the final result is actually better, or whether it is just a more polished hallucinatio Agents sampled from the same base model agreeing with each other isn't validation, it's correlation. Cheaper orchestration mostly amplifies whatever bias the model already has. Neat hack though.

leninkatta 6mo ago

[dead]

Olivia_Pan 6mo ago

[dead]

raffaeleg 5mo ago

[flagged]

tahosin 5mo ago

[dead]

natloz 5mo ago

Any methods to reduce the cost of using AI (which can be exorbitant) is welcome!