caura-ai/caura-build-fleet - 5 Help Wanted Issues

Open Issues Need Help

Add CI to run the existing test suite about 2 hours ago

good first issue

A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Python

#agent-fleet#agent-memory#ai-agents#ai-pipeline#constraint-propagation#llm#mcp#model-context-protocol#multi-agent#python#shared-memory

Agent iteration cap is hit silently, truncated runs look successful about 2 hours ago

good first issue

caura-ai/caura-build-fleet

A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Python

#agent-fleet#agent-memory#ai-agents#ai-pipeline#constraint-propagation#llm#mcp#model-context-protocol#multi-agent#python#shared-memory

except (ValueError, Exception) is redundant in run_agent about 2 hours ago

good first issue

caura-ai/caura-build-fleet

A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Python

#agent-fleet#agent-memory#ai-agents#ai-pipeline#constraint-propagation#llm#mcp#model-context-protocol#multi-agent#python#shared-memory

Pipeline exits 0 even when every agent fails about 2 hours ago

good first issue

caura-ai/caura-build-fleet

A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Python

#agent-fleet#agent-memory#ai-agents#ai-pipeline#constraint-propagation#llm#mcp#model-context-protocol#multi-agent#python#shared-memory

Running a single agent directly ignores MEMCLAW_API_URL from .env about 2 hours ago

good first issue

caura-ai/caura-build-fleet

A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Python

#agent-fleet#agent-memory#ai-agents#ai-pipeline#constraint-propagation#llm#mcp#model-context-protocol#multi-agent#python#shared-memory