DSM MCP Server
Provable, append-only memory for AI agents via MCP.
Install
pip install dsm-mcp
Run
dsm-mcp
# or
python -m dsm.integrations.goose
Configure with Goose
Add to ~/.config/goose/extensions.d/dsm-memory.yaml:
name: dsm-memory
type: stdio
cmd: dsm-mcp
What it does
DSM records every agent action in an append-only SHA-256 hash chain. Nothing can be deleted, reordered, or tampered with without detection.
11 MCP tools: dsm_status, dsm_start_session, dsm_end_session,
dsm_log_action, dsm_confirm_action, dsm_snapshot, dsm_recall,
dsm_recent, dsm_summary, dsm_search, dsm_verify.
Links
- Project: https://github.com/daryl-labs-ai/daryl
- Goose integration: https://github.com/daryl-labs-ai/daryl/tree/main/src/dsm/integrations/goose
1 maintainer
Metadata
1 maintainer
Release files for dsm-mcp 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dsm_mcp-0.1.1.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dsm_mcp-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.3 kB
Release files / dsm_mcp-0.1.1.tar.gz
| Download URL | dsm_mcp-0.1.1.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
478838027e36848466c4b56c507a8085816faafab6a65948ef90dacc6b3266ad
|
|
BLAKE2b-256 checksum How to use checksums |
d5858b9dbc1ecbe92d1f68f4962d1fd6153a92761602e3c60f85de4ff9c75a58
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 15, 2026.
Transparency logRelease files / dsm_mcp-0.1.1-py3-none-any.whl
| Download URL | dsm_mcp-0.1.1-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
74baf5ce06e386e403a27658c86d1637bc58978ac0e2b15ee2d2371a81007230
|
|
BLAKE2b-256 checksum How to use checksums |
94f3739c7fecf60bd4a6437ae4a49422e598e95b8a481a6ee68fc3646d57ee4f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 15, 2026.
Transparency log
