engrammemory-ai
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 25 Jun 2026. How this is checked
Engram Memory is persistent AI memory for agents that need to remember conversations, decisions, and context without storing data on someone else’s servers. It is presented for use with coding agents, customer support, healthcare, multi-agent systems, edge deployments, and IoT, and the site says it works with Claude, ChatGPT, Gemini, Python, and Node.js through OpenClaw Agents SDK.
Inferred · not functionally tested
Overview
5 featuresPurpose: Providing scalable and efficient memory and context management for AI agents using vector search infrastructure.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: rag
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: engrammemory.ai · github.com. These links do not verify the individual claims.
In the Memory & skills space, engrammemory-ai takes a focused approach. Inferred · not functionally tested: It focuses on providing scalable and efficient memory and context management for AI agents using vector search infrastructure. Inferred · not functionally tested: engrammemory-ai is an open-source project aimed at AI developers and researchers. Basis unknown · not verified: engrammemory-ai is open source under the MIT license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by engram-memory, and it first shipped in 2026. Inferred · not functionally tested: Among its 5 catalogued features are vector search, context management, and agent memory. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Vector search
- Context management
- Agent memory
- Qdrant integration
- Python SDK
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about engrammemory-ai
- What does engrammemory-ai do?
- Inferred · not functionally tested: Engrammemory-ai focuses on providing scalable and efficient memory and context management for AI agents using vector search infrastructure. It is catalogued under Memory & skills on PulseGate.
- Who is engrammemory-ai for?
- Inferred · not functionally tested: engrammemory-ai is an open-source project built for AI developers and researchers.
- Is engrammemory-ai free?
- Basis unknown · not verified: Yes — engrammemory-ai is open source under the MIT license and free to use.
- What platforms does engrammemory-ai run on?
- Basis unknown · not verified: engrammemory-ai runs on the web, the command line, and API. It can also be self-hosted.
- Is engrammemory-ai still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What projects are similar to engrammemory-ai?
- Similar projects tracked by PulseGate include engramai, engram-camel-ai, and Engram.engramaiengram-camel-aiEngram
- Who makes engrammemory-ai?
- engrammemory-ai is developed by engram-memory.
- How long has engrammemory-ai been around?
- engrammemory-ai first shipped in 2026.
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