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LibreChat

AI-ASSISTANTS
Velocity6.3

Open-source AI chat platform supporting multiple model providers and tools.

LibreChat's agents stop being fire-and-forget: you can now interrupt, steer, and answer them mid-run.

agentshuman in the loopself-hostedmcpcode interpretermodel neutrality
Current state
LibreChat is a self-hosted chat front-end that has spent three consecutive releases turning itself into an agent platform. v0.8.6 introduced Agent Skills and subagents, v0.8.7 added skill authoring and an agent marketplace, and v0.8.8-rc1 now makes agent runs interactive — interruptible, steerable, and able to pause for batched questions or approval before resuming. Alongside that sit experimental Agent Plugins bundling deployment Skills, MCP servers and opt-in command hooks, stateful Code Interpreter sessions, and agent-managed memory with per-agent isolation.
Where it's heading
The releases are moving up the stack from capability to control. The earlier work answered what an agent can do; this one answers what a human does while it runs — approve a tool call, answer four questions at once, redirect a run in progress, or queue the next message. The other consistent thread is neutrality on models: GPT-5.6, Claude Opus 5 and Sonnet 5, and three Gemini variants land in the same release, as they did in 0.8.7.
Prediction
The pieces flagged experimental here — Agent Plugins, stateful Code Interpreter sessions, command hooks — are the obvious candidates to stabilize in the 0.8.8 final or 0.8.9. The human-in-the-loop scaffolding is explicitly labeled a first slice, so further approval surfaces are the likeliest next increment.

Recent moves

  1. 5d ago

    v0.8.8: steerable agent runs, agent plugins, stateful code sessions

    ⚡ SPARK

    The third consecutive release to extend the agent platform, and the one that changes the interaction model rather than the capability list: runs can be interrupted, steered, or queued against, and agents can batch up to four questions and wait for input or approval before continuing. Agent Plugins, stateful Code Interpreter sessions, and agent-managed memory arrive as experimental surfaces on top of the skills and subagent foundation 0.8.6 and 0.8.7 laid down.

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  2. 5d ago

    chart-2.0.8: 🚀 chore: Prepare v0.8.8-rc1 (#14394)

    The Helm chart bump and documentation sweep published nine minutes before v0.8.8-rc1 — package version refreshes, operator reference updates, and README highlights for the same release. Same-day companion to the release above, carrying no independent change.

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  3. 2mo ago

    v0.8.7: skill authoring, agent marketplace, native Anthropic + GPT-5.5

    ⚡ SPARK

    The previous step in the arc: skill file-authoring tools, GitHub skill sync, an agent marketplace in the model selector, and model-spec subagents, plus native Anthropic endpoints and quick frontier-model support. Where 0.8.8 makes agent runs controllable, this release made them buildable and shareable.

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  4. 2mo ago

    chart-2.0.6

    A Helm chart version bump to 2.0.6 with no accompanying change description. Deployment packaging that trails the v0.8.7-rc1 release published the same afternoon.

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  5. 3mo ago

    chart-2.0.4: 🪪 fix: Add Admin Panel SSO URL Config (#13220)

    A Helm chart fix adding admin panel SSO URL configuration and avoiding a duplicate environment variable. Operator-facing plumbing for the admin surface that arrived in the 0.8.5 line.

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  6. 3mo ago

    chart-2.0.3

    A chart release whose body is a changelog link and a list of eighteen first-time contributors. The contributor volume is the only signal here — notable for project health, but no shipped change of its own.

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