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Agentic Ledger

Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.

Connector by ShekharBhardwaj · GitHub account verified by the MCP Registry

IndexedMITRemote (HTTP)★ 7
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About

Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
6 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 6

Read from the source code; the running server may list different tools.

Read 6 · Look things up without changing anything.

  • explain
  • get_run_status
  • get_session
  • list_runs
  • list_sessions
  • search

Network hosts it talks to 15

  • agentic-ledger.dev · found in code
  • ai.google.dev · found in code
  • anthropic.com · found in code
  • api.anthropic.com · found in code
  • api.github.com · found in code
  • api.openai.com · found in code
  • github.com · found in code
  • glama.ai · found in code
  • host.docker.internal · found in code
  • ledger.test · found in code
  • openrouter.ai · found in code
  • opentelemetry.io · found in code
  • platform.openai.com · found in code
  • raw.githubusercontent.com · found in code
  • upstream.loadtest · found in code

Files it touches

  • /home
  • /opt/homebrew
  • /tmp/agenticledger-smoke.db
  • /Users/user
  • /usr/local/Cellar
  • Your home directory (~)

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • explain

    Retrieve the full captured trace for a single LLM call. Returns the prompt, system prompt, tool calls, model response, token usage, cost, and latency.

  • get_run_status

    Status of one loop run: iterations so far, total cost and tokens, flagged calls, and whether the completion promise was seen (status=complete). Loop runners and agents can use this to decide whether to continue iterating.

  • get_session

    Retrieve the LLM calls of an agent session in chronological order. By default each call is a compact summary (index, model, status, error reason, tokens, cost, latency, tool names, sizes) — sessions can be megabytes, so full prompt/response bodies are returned only with include_messages=true, and single calls are better fetched via the explain tool using the action_id from a summary row.

  • list_runs

    List loop runs (explicit x-agenticledger-run-id or auto-inferred fresh-context loops, e.g. Ralph overnight runs) with iterations, sessions, cost, flagged-call counts, and status (running / flagged / complete).

  • list_sessions

    List recent agent sessions with aggregated stats — call count, total cost, token usage, and start time. Use this to find a session_id before calling get_session or to get a cost overview.

  • search

    Full-text search across all captured LLM calls. Searches prompts, outputs, system prompts, agent names, and user IDs. Use this to find calls related to a topic, error, or agent.

Signals

Stars
7
Forks
3
Open issues
21
Weekly downloads
117
Last commit
Oct 24, 2026 (6 days ago)
Last release
Sep 28, 2026 (1 month ago)
Last package publish
Sep 28, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.ShekharBhardwaj/agentic-ledger
Version
0.15.0
Auth
No auth
Packages
pypi agentic-ledger
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

Agentic Ledger MCP server. Agent Mart. https://agentmart.dev/connectors/shekharbhardwaj-agentic-ledger (last updated 2026-10-24)