proxagent 0.1.0

Supabase-backed config, logging, and memory for Claude Agent SDK agents

proxagent

Supabase-backed config, logging, and memory for Claude Agent SDK agents.

One Supabase project = one company. One company can have many agents. All tables are scoped by agent, identified by a human-readable slug (e.g. otmc-agent, claims-agent).

Install

uv pip install -e .

Setup

1. Get a Personal Access Token

Go to Supabase Dashboard > Account (top right) > Access Tokens and create a PAT.

2. Check and create tables

uv run proxagent check

The CLI will:

• Ask for your PAT
• List your Supabase projects (arrow-key select)
• Check if all _proxagent_* tables exist
• Offer to create them if missing

Tables are prefixed with _proxagent_ to avoid collisions. RLS is enabled by default.

3. Register an agent

Insert a row into _proxagent_agents:

insert into _proxagent_agents (slug, name)
values ('my-agent', 'My Agent');

4. Add skills

Insert rows into _proxagent_skills:

insert into _proxagent_skills (agent_id, name, description, content)
values (
  (select id from _proxagent_agents where slug = 'my-agent'),
  'greeting_style',
  'How to greet users',
  '# Greeting Style\n\nAlways greet users warmly...'
);

Python API

ProxAgent

Single object for config, skills, and logging.

from proxagent import ProxAgent

agent = ProxAgent("my-agent", supabase_url="...", supabase_key="...")
agent.fetch()

Build system prompt (fills placeholders like {issue_key}):

prompt = agent.build_prompt(issue_key="COPS-123")

Write skills to disk (creates .claude/skills/{name}/SKILL.md with YAML frontmatter):

agent.write_skills(".")  # writes to ./.claude/skills/*/SKILL.md

Get skills as data (for writing into E2B sandboxes or other targets):

for skill in agent.skills_files():
    # skill["path"]    -> "greeting_style/SKILL.md"
    # skill["content"] -> "---\nname: greeting_style\n..."
    sandbox.files.write(f"/app/.claude/skills/{skill['path']}", skill['content'])

Write memories to CLAUDE.md (each memory becomes a bullet point):

agent.write_claude_md(".")  # writes to ./CLAUDE.md

Get CLAUDE.md content as string (for writing into E2B sandboxes):

content = agent.claude_md_content()
sandbox.files.write("/app/CLAUDE.md", content)

Save a new memory (persists to _proxagent_memories):

agent.save_memory(
    learning="For noissue.co WRO tickets, use [e-mail]",
    context="Taught by Nipun on COPS-198277"
)

Memory MCP Server

Create an MCP server with a save_learning tool that the agent can call at runtime to persist new learnings:

from proxagent import ProxAgent, create_memory_server

agent = ProxAgent("my-agent", ...).fetch()
memory_server = create_memory_server(agent)

options = ClaudeAgentOptions(
    mcp_servers={"memory": memory_server},
    allowed_tools=["mcp__memory__save_learning"],
)

The agent sees a save_learning tool that accepts learning (str) and context (str). Writes to _proxagent_memories under the hood.

Log SDK messages to _proxagent_runs and _proxagent_logs:

agent.start_run(run_label="COPS-123", sandbox_id="sbx_abc")

async for message in client.receive_response():
    agent.log(message)

The logger handles all message types automatically:

• SystemMessage (init) → creates a run in _proxagent_runs
• AssistantMessage → logs each block (text, thinking, tool use, tool result)
• UserMessage → logs user input and tool results
• ResultMessage → finalizes the run with cost, duration, tokens

Environment variables

Variable	Description
SUPABASE_URL	Supabase project URL (e.g. https://abc123.supabase.co)
SUPABASE_SERVICE_ROLE_KEY	Service role key or new-style secret key (sb_secret_...)
SUPABASE_ACCESS_TOKEN	Personal Access Token (for CLI only)

ProxAgent reads from SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY by default, or accepts them as constructor args.

Tables

All tables use the _proxagent_ prefix and have RLS enabled.

Table	Purpose
_proxagent_agents	Agent registry — slug, name, system_prompt
_proxagent_skills	Skills per agent — name, description, content, is_active
_proxagent_memories	Learnings per agent — learning, context, is_active
_proxagent_runs	One row per agent execution — cost, duration, tokens, result
_proxagent_logs	Message-level detail — tool calls, text, thinking blocks

CLI

proxagent check    # Check/create tables in your Supabase project