jerome
05eccd5b53
- Moved scattered scripts, templates, and documentation into organized directories (applications/, scripts/, assets/). - Updated .gitignore to strictly exclude secrets, state files, and IDE configs. - Added comprehensive README.md outlining repository structure and best practices. - Preserved all existing documentation and technical architecture files. - Prepared infrastructure/ for AWS Org and Proxmox Terraform management.
2.0 KiB
1|# 04 - Autonomous AI Agents — Home
2|Purpose: Research and implementation of autonomous agent workflows.
3|
4|## Overview
5|
6|Autonomous AI agents can execute multi-step tasks independently, learn from experience, and make decisions based on context. This section covers advanced orchestration patterns for production-grade agent systems.
7|
8|## Key Capabilities
9|
10|### Multi-Agent Collaboration
11|- Role-based agent delegation
12|- Cross-agent memory sharing
13|- Conflict resolution protocols
14|- Distributed task execution
15|
16|### Autonomous Behaviors
17|- Self-correction loops
18|- Error recovery mechanisms
19|- Performance optimization
20|- Adaptive resource allocation
21|
22|### Advanced Patterns
23|- Agent swarms (10+ coordinated agents)
24|- Continuous learning cycles
25|- Human-in-the-loop intervention points
26|- Audit trails and observability
27|
28|## Implementation Strategies
29|
30|### Sequential Workflows
31|python 32|agent1.run(task="Research market") 33|agent2.run(task="Analyze data") 34|agent3.run(task="Generate report") 35|
36|
37|### Parallel Workflows
38|python 39|results = await asyncio.gather( 40| agent1.run(task="A"), 41| agent2.run(task="B"), 42| agent3.run(task="C") 43|) 44|
45|
46|### Feedback Loops
47|python 48|while not agent.is_satisfied(result): 49| agent.improve(result) 50| result = agent.execute(prompt) 51|
52|
53|## Use Cases
54|
55|- Market research automation
56|- Multi-step data analysis pipelines
57|- Customer support orchestration
58|- Content generation workflows
59|- Codebase refactoring agents
60|
61|## Related Frameworks
62|
63|- [OpenClaw](../02\ -\ OpenClaw\ Framework/) — Agent orchestration platform
64|- [MCP](../03\ -\ MCP\ (Model\ Context\ Protocol)/) — Tool integration layer
65|- [OpenMAIC](../06\ -\ OpenMAIC\ Education/) — Educational resources
66|
67|---
68|
69|Advanced agent patterns for Jerome & Theodore's complex automation projects.
70|