deepset-ai / deepset-ai/haystack
Integration proposal: a memory store with verified transfer between pipelines and deployments
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- Python
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Description
Maintainer of cognicore-env (open-source, MIT, MCP-compatible memory layer, no vector database required).
Haystack pipelines produce and consume knowledge, but memory between pipeline runs and across deployments is either the team's own glue or nothing. Nothing in the component ecosystem carries verified state with provenance from one pipeline to another, or from a Haystack deployment to an external agent.
Proposal: a memory store component with export/import. The bundle format carries, per memory: proof (command, result, exit code, output hash), chain of custody across agents, observed-until-reverified import semantics, trust decay, validity intervals, and owner-per-concept conflict rules — the last two from a public design review with multi-team operators, where the measured failure without them was models confidently reporting the wrong team's facts instead of declining.
Use case: an indexing pipeline's agent learns verified facts about data sources (schema quirks, refresh schedules, with the query outputs as proof); a downstream QA pipeline imports those memories as observed and promotes them after its own verification. Pipelines compound knowledge instead of each starting cold.
I can contribute the store integration and a documentation example. The transfer machinery is implemented and tested across four platforms. Would this fit the component catalog, and is there a preferred store interface to target?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing Haystack's component catalog and clarify with the maintainer which store interface this proposal should target. Done would require an agreed scope for the memory store integration, export/import behavior, and documentation example; the issue names no files, tests, or entry points.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100