Recall™
PulseGate's liveness check found it on 8 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jun 2026. How this is checked
Recall™ is an open reference architecture for durable memory, audit, and continuity in AI coding agents. It is designed around the problem that modern agents are stateless: each conversation starts cold, and memory, audit, and long-term context depend on what the host platform keeps or a chat transcript preserves. The site describes it as a way to turn an agent into something that reads a project log before acting, rather than relying on its own short session history.
Inferred · not functionally tested
Overview
6 featuresPurpose: Maintaining persistent memory and context for AI coding agents across sessions and projects.
Inferred · not functionally tested
Audience: developers building or using AI coding agents
Inferred · not functionally tested
Functions: rag, agents
Inferred · not functionally tested
Interfaces: API: unknown · 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, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: recall.works · github.com. These links do not verify the individual claims.
Recall™ sits in PulseGate's Memory & skills category. Inferred · not functionally tested: It focuses on maintaining persistent memory and context for AI coding agents across sessions and projects. Inferred · not functionally tested: Recall™ is an open-source project aimed at developers building or using AI coding agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: Recall™ is available on the web and the command line, and it can be self-hosted.
Recall™ first shipped in 2026. The project is developed in the open on GitHub with 36 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are durable memory, session continuity, and audit log.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Durable memory
- Session continuity
- Audit log
- Vector database
- Brain backup
- Local compute
Topics: Inferred · not functionally tested
Built with & integrations
- multiple
- bLangChain in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Recall™
- What does Recall™ do?
- Inferred · not functionally tested: Recall™ focuses on maintaining persistent memory and context for AI coding agents across sessions and projects. It is catalogued under Memory & skills on PulseGate.
- Who should use Recall™?
- Inferred · not functionally tested: Recall™ is an open-source project built for developers building or using AI coding agents.
- Does Recall™ have a free plan?
- Basis unknown · not verified: Yes — Recall™ is open source under the MIT license and free to use.
- What platforms does Recall™ run on?
- Basis unknown · not verified: Recall™ runs on the web and the command line. It can also be self-hosted.
- Is Recall™ still maintained?
- PulseGate's liveness check found it on 8 Sep 2026. Its GitHub repository shows 36 commits in the last 90 days.
- What projects are similar to Recall™?
- Similar projects tracked by PulseGate include AgentRecall, Recall, and Recalld.AgentRecallRecallRecalld
- When did Recall™ launch?
- Recall™ first shipped in 2026.
- Is Recall™ open source?
- Basis unknown · not verified: Yes — Recall™ is open source under the MIT license, developed on GitHub.
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