Agents
The Semantic Layer
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
Cube β Semantic Layer for Building Data Applications
Large Language Model State Machine (llmstatemachine)
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
- Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.
- Custom Python Functions with JSON Generation : Allows the c
GitHub - robocorp/llmstatemachine: A Python library for building GPT-powered agents with state machine logic and chat history memory.
AgentTuning: Enabling Generalized Agent Abilities For LLMs
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent capa... See more
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent capa... See more
THUDM β’ GitHub - THUDM/AgentTuning: AgentTuning: Enabling Generalized Agent Abilities for LLMs
In the open-source community, there are huge numbers of people leveraging AutoGen in creative ways, and solving surprising problems. One pattern that we see as fundamental is the "generator+critic" pattern, where one agent generates content (writing, code, etc.) and another agent critiques it (finds bugs, etc.) They can iterate until the solution i... See more
Shortwave β rajhesh.panchanadhan@gmail.com [Gmail alternative]
In an Agentic UX, an AI agent pulls weight across 3 categories: cognitive, creative, and logistical.
- Cognitive weight β the built-in agent pulls analysis and decision-making weight
- Creative weight β the built-in agent takes on visualization and media creation weight
- Logistical weight β the built-in agent takes tasks on operational and workflow weig
The agentic era of UX
memary: Open-Source Longterm Memory for Autonomous Agents
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.
Data
π€ Create perpetual chatbots with self-editing memory!
ποΈ Chat with your data - talk to your SQL database or your local files!
π You can also talk to docs - for example ask about LlamaIndex!
ποΈ Chat with your data - talk to your SQL database or your local files!
π You can also talk to docs - for example ask about LlamaIndex!
cpacker β’ GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context ππ¦
ht - headless terminal
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
GitHub - andyk/ht: headless terminal - wrap any binary with a terminal interface for easy programmatic access.
So right now, LLMs (Large Language Models) are all the rage. But in the future, itβs possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.
Itβs what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).
This is how we... See more
Itβs what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).
This is how we... See more