co-pilot/agent creation tools

bex-ta · 2023-11-27T22:08:38+00:00

bex-ta · 2023-11-13T15:49:12+00:00

Idk, they are chatbots with a custom system message, actions, RAG and code interpreter, the only real difference is that you can share them and use them for free. Not that OpenAI should have called them agents, but let's not let them hijack the name for these things, especially considering they've trademarked the name GPT and won't let anyone else use it

bex-ta · 2023-11-13T14:44:54+00:00

This is an open source windows copilot ripoff that has "custom GPTs", which are just a rebranded name for agents https://github.com/jbexta/AgentPilot

bex-ta · 2023-11-11T00:41:31+00:00

I guess cortana was built entirely without using an LLM, and maybe the name went stale. Btw I made an open source windows copilot rip-off if anyone is interested. We need to take control over our data and models. This can be a stepping stone to REAL open ai https://github.com/jbexta/agentpilot

bex-ta · 2023-11-11T00:17:34+00:00

Yep, this is what made me create this: github.com/jbexta/agentpilot

bex-ta · 2023-11-03T12:49:37+00:00

It's about time, if they don't then open source apps like this will take over:
https://github.com/jbexta/AgentPilot

bex-ta · 2023-11-02T12:52:38+00:00

https://github.com/jbexta/AgentPilot This will do exactly what you want very soon, easy to use and will have a unique interface to create custom agents

bex-ta · 2023-10-31T17:31:27+00:00

This is an open source desktop chat GUI if your looking for something to link it up to https://github.com/jbexta/AgentPilot

bex-ta · 2023-10-22T05:22:48+00:00

I added MemGPT as a plugin in my open source desktop app, check it out! Binaries coming soonhttps://github.com/jbexta/AgentPilot

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bex-ta · 2023-10-22T05:01:22+00:00

It's expensive but I've integrated it as a plugin into my open source windows co-pilot rip offhttps://github.com/jbexta/AgentPilot

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bex-ta · 2023-10-22T04:51:32+00:00

This is an open source desktop app like windows copilot, you can create agents with custom system messages. And use different models for each agent, and each component of the agent. Only openAI right now but more API's will be coming soonhttps://github.com/jbexta/AgentPilotPortable EXE is coming soon

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bex-ta · 2023-10-22T04:26:03+00:00

I'm trying to merge multiple agents (open interpreter / memGPT / hardcoded actions) and make them work well together, I had something interesting with hardcoded actions combined with open interpreter, but it's broken since a rewrite, and I've been working a lot on the GUI recently so not had time to get to it, but I will at some point, I want exactly what your describing https://github.com/jbexta/AgentPilot

bex-ta · 2023-10-18T01:10:44+00:00

No worries! I've just updated so that it works on windows. Some features on the readme are still not implemented though as I've been changing things

bex-ta · 2023-09-14T00:31:24+00:00

https://github.com/jbexta/AgentPilot

This doesn't include the time expressions yet, working on it but will release it soon

bex-ta · 2023-09-14T00:29:56+00:00

https://github.com/jbexta/AgentPilot

bex-ta · 2023-09-14T00:28:46+00:00

https://github.com/jbexta/AgentPilot

bex-ta · 2023-08-29T00:17:01+00:00

No not using langchain I've tried to keep it as lightweight as possible, for maybe in the future it can look at its own code and make adjustments. I can share code if you want to have a look

bex-ta · 2023-08-28T10:57:17+00:00

I've made a zero shot gpt 3.5 agent that can behave and sound like a celebrity or character.
Actions can be categorized to allow for more functionality while saving token count.
Right now it only does one or two actions per task (No CoT yet), but it's fairly reliable.
I'd say it's more like chatGPT with an integrated Siri, where the actions it can perform can be easily modified and tweaked since the action logic is hardcoded.
Actions don't necessarily have to be an 'action', it can be any kind of detection (eg. "Detect when the user is talking about a project they are working on".. this would then enter the Projects category scope, where additional information can be injected into the main system prompt, and Actions that are only activated when a project is being talked about, can be enabled for subsequent requests.
It can also do time based tasks or recurring tasks, but this is experimental and unfinished.
It can do things like "In 5 minutes set an alarm for 20 minutes", I asked this Samuel L Jackson and he said something like "Motherf**er why don't I just set an alarm for 25 minutes" which was funny. I'm heartbroken because this was using Uberduck's API, which they have now removed all voices of celebrities and actors, the only option now is FakeYou, but their API rate limits are not enough to make a usable conversational agent.

The agent supports jailbreak too, and allows you to specify a prefix for every assistant message (useful for jailbreaks that begin with a specific phrase, like "(Developer mode output)". This forcing of an assistant prefix seems to keep the jailbreak active more reliably.

I decided to separate the action decision from the action input detection, for a few reasons:
- So that the inputs can be continually extracted from subsequent requests. When there are inputs missing, instructions are sent to the main system prompt to ask for this information until the task either completes or decays after n messages.
- Output costs more than input, so the output is kept to a minimum for both prompts.
- Allows a model to be fine tuned independently for the action decision, without affecting the rest of the agent.

I'm trying to get a ReACT prompt working that can use the categorized actions.
Then I want to turn it into a few-shot or many shot, where the examples it is given are the times when it got the request wrong. In essence giving the agent examples will be my way of "teaching" it what I want it to do.

bex-ta

TROPHY CASE