vayl-dev

vayl-dev/vayl

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

2 stars 0 forks 2 watchers Python Apache License 2.0

agent-memory ai-agents claude knowledge-graph llm mcp memory model-context-protocol openai python rag sqlite

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7 Open Issues Need Help Last updated: Aug 1, 2026

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Docs: dedicated Cursor setup guide about 13 hours ago

documentation good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a Pydantic AI framework adapter about 16 hours ago

enhancement help wanted

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a LlamaIndex framework adapter about 16 hours ago

enhancement good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a `recruiting` slot-schema preset about 16 hours ago

enhancement good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a `realestate` slot-schema preset about 16 hours ago

enhancement good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a `devops` slot-schema preset about 16 hours ago

enhancement good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite

Add a `legal` slot-schema preset about 16 hours ago

enhancement good first issue

2

Reconciling memory for AI agents (MCP server): a new value supersedes the old, removals actually retract, and history stays queryable — so agents get current facts, not stale ones.

Python

#agent-memory#ai-agents#claude#knowledge-graph#llm#mcp#memory#model-context-protocol#openai#python#rag#sqlite