Agentic-Context-Engine

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Agentic Context Engine (ACE) is an open-source AI Agents & Automation tool that enables agents to learn from experience. It provides a persistent learning loop for self-improvement without fine-tuning or training data.

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At a glance

Pricing

Open Source · Freemium

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agentic-context-engine?

Agentic Context Engine (ACE) is an open-source framework designed to make AI agents learn from experience, preventing them from repeating mistakes and improving performance over time. It features a 'Skillbook' that collects and refines strategies, managed by specialized roles: an Agent executes tasks, a Reflector analyzes execution traces for insights, and a SkillManager curates the Skillbook. A key innovation is the Recursive Reflector, which uses Python code in a sandboxed environment to programmatically search for patterns and isolate errors. ACE integrates with over 100 LLM providers via LiteLLM and offers various runners for different use cases, including browser automation and LangChain integration. It has demonstrated significant improvements in consistency and token reduction in benchmarks.

Best used for

Ideal for developers and data scientists who need to create AI agents that learn from experience, automate complex workflows, and improve performance over time. Especially valuable for scenarios requiring consistent agent behavior and reduced operational costs in areas like browser automation or code translation.

Common actions

build AI agents

automate tasks

improve agent performance

manage agent learning

integrate LLMs

github copilot"AI Agents"workflowsdeepfakelow-code/no-codeopen-sourceautomated workflowface swappingcollaboration

Capabilities

Key features

Agent self-improvement
Persistent Skillbook
Recursive Reflector
100+ LLM providers
Browser automation
LangChain integration

Target Audience

developerdata scientiststartup founder

Integrations

openaianthropicgooglebedrockgroqlitellmlangchain

Pricing & Plans

Open Source · Freemium

Free

FAQs

How does ACE enable agents to learn without fine-tuning or training data?

ACE uses a 'Skillbook' to store learned strategies and a 'Recursive Reflector' that analyzes execution traces. This allows agents to extract actionable insights from their experiences and update their strategies, improving performance over time without needing traditional model retraining or fine-tuning.

What types of LLMs and providers does ACE support?

ACE integrates with over 100 LLM providers through its LiteLLM integration. It offers native support for popular models from OpenAI, Anthropic, Google, Bedrock, and Groq, allowing users flexibility in choosing their preferred language models for agent operations.

Can ACE be used to improve browser automation tasks?

Yes, ACE includes a 'BrowserUse' runner specifically designed for browser automation. This allows agents to learn and improve their performance with each run, cutting costs and increasing efficiency in repetitive web-based tasks.

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