Baron Munchausen — local memory for coding agents that outlives the chat, with a verdict on every answer. Public alpha.
Baron Munchausen — local memory that outlives the chat
Everything above is a real run against a clean clone. rpc is the two-line curl wrapper defined in docs/demo/baron-demo.sh; re-record the whole thing with cd docs/demo && ./record.sh.
Public alpha (0.6.1). The engine has run daily in the authors' own work for months; this repository is one day old. The code is Apache-2.0 and complete — the packaging, the docs and the install path are what "alpha" refers to. Report anything that breaks.
Your session ends. Your project doesn't. One call brings back where the project stopped, what was decided and what comes next — after a closed tab, a spent limit or a change of model. And every answer built on that memory comes back with a verdict: grounded, partial or ungrounded, with the sentences nothing backs named one by one.
A memory server in Python 3.12 with no third-party runtime dependency. MCP over stdio for your client, JSON-RPC on 127.0.0.1:8765 for everything else. Nothing here calls a model and nothing leaves your machine. A fresh install starts with an empty graph: we ship the tools, never the data.
Three numbers, each one measured, each one with what it does not say written next to it.
1. One context return: 7 146 tokens → 2 388. The 7 146 is a real compaction summary out of a session transcript; the 2 388 is the slice a live memorygroundprepare returned for the same moment of the same project. Both counted with tiktoken/cl100kbase on 2026-09-10. What it does not say: it is one pair of instances, not a distribution — a second summary from the same corpus came to 5 91
From the project README.
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