Showing 3 open source projects for "capture"

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    AI Memory

    AI Memory

    Solution for long term memory for agent coding CLIs

    ...Optional managed workstreams add native session resumption and a portable event ledger for higher-fidelity continuity. It supports multiple coding agents, several embedding providers, local models, and repository-level capture exclusions.
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  • 2
    ByteRover CLI

    ByteRover CLI

    The portable memory layer for autonomous coding agents

    ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows.
    Downloads: 0 This Week
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  • 3
    Aden Hive

    Aden Hive

    Outcome driven agent development framework that evolves

    ...Rather than manually defining execution graphs, Hive’s coding agent generates the agent graph, connection code, and test cases based on your high-level objectives, enabling outcome-driven agent creation that fits real business processes. Once deployed, agents can capture failure data, evolve automatically to meet their success criteria, and redeploy without constant manual intervention, delivering continual improvement over time. The framework also includes human-in-the-loop nodes, credential management, cost and budget controls, and real-time observability so teams can monitor execution and intervene as needed. ...
    Downloads: 0 This Week
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