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Bilinc

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Verifiable state plane for autonomous agents: memory, belief revision, rollback, audit, and MCP tools.

Bilinc

PyPIPythonLicenseMCP

Hosted memory infrastructure for coding agents: commit, recall, and inspect agent state through one API key, with verification, provenance, and recovery around every write.

Retrieval answers "what is similar to this?". Long-running agents also need to answer "who wrote this state, was it verified, did it contradict what we already knew, and can we undo it?" — that is the layer Bilinc provides.

Bilinc 2.1.5 on PyPI is the public cloud-only package: a thin Python SDK, CLI, and MCP adapter for Bilinc Cloud. It does not ship the local StatePlane, storage backends, eval, observability, integrations, or server runtime internals.

Use Bilinc when

  • A long-running coding agent needs to recall prior decisions before a risky edit.
  • You need to know which run, tool, or operator produced a piece of agent state.
  • A bad agent run wrote incorrect state and you need a recovery path, not a manual cleanup.
  • Several agents or teammates share one memory surface and you need key-scoped access and usage visibility.

Do not use Bilinc when

  • You only need semantic search over documents — a vector database is the simpler primitive.
  • You require an Apache-2.0 licensed, fully self-hosted runtime. The public package is cloud-only and licensed BUSL-1.1.
  • You want the memory layer to also be your agent framework. Bilinc is the state layer your runtime calls; it does not orchestrate agents.

Start in 60 Seconds

pip install -U bilinc
bilinc start

bilinc start is the first-run guide. The activation target is simple: reach apassing bilinc quicktest, which performs one hosted commit, one hosted recall,and one Cloud status check.

  1. Start the 7-day Bilinc Cloud trial at https://bilinc.space/signup.
  2. Confirm email.
  3. Create one hosted API key in the Cloud dashboard.
  4. Connect the CLI:
bilinc login --api-key bil_live_...
bilinc quicktest

If you prefer a browser guide, open https://bilinc.space/install and follow thesame four-step path.

MCP Adapter

Bilinc exposes a standard Model Context Protocol server over stdio, so anyMCP-compatible client can connect — Claude Code, Codex, Cursor, Hermes-Agent,opencode, and others.

{
  "mcpServers": {
    "bilinc": {
      "command": "python",
      "args": ["-m", "bilinc.cloud_mcp"],
      "env": { "BILINC_API_KEY": "bil_live_..." }
    }
  }
}

Three tools, deliberately:

Tool What it does
commit_mem Write durable agent state. Each write carries provenance — which run, tool, or operator produced it.
recall Retrieve prior context and decisions before acting.
status Check hosted Cloud health and account state.

Documented client setups: Claude Code ·Codex · Cursor ·any MCP client

The adapter exposes hosted commit, recall, and status operations. It does not bundle local runtime internals.

Python SDK

from bilinc import CloudClient

client = CloudClient()  # reads BILINC_API_KEY or a key saved by `bilinc login`
client.commit("agent.goal", {"ship": "reliable memory"}, memory_type="semantic")
results = client.recall("agent goal", limit=5)
status = client.status()

For server, CI, and hosted agent runtimes, store the key as BILINC_API_KEY.

CLI

bilinc status
bilinc commit --key agent.goal --value '{"ship":"reliable memory"}'
bilinc recall --query "agent goal"
bilinc doctor

Useful first-run commands:

bilinc start
bilinc login --api-key bil_live_...
bilinc quicktest
bilinc mcp install

Hosted Endpoints

  • Health: GET https://bilinc.space/api/cloud/health
  • Commit: POST https://bilinc.space/api/cloud/memory/commit
  • Recall: POST https://bilinc.space/api/cloud/memory/recall

Authenticated memory operations require an active Bilinc Cloud entitlement.

Benchmark receipt

Archived research receipt, LongMemEval-s cleaned retrieval fixture, 500 questions:R@5 98.0%, NDCG@5 0.933, with no LLM reranker and no paid API.

This is an archived retrieval-component result — not a current hosted SLA, not anend-to-end agent score, and not a competitor ranking. Published memory-systemscores use different metrics, datasets, and levels of LLM assistance, so they arenot directly comparable. Present this receipt only with this scope attached.

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Answer guides

Links

License

BUSL-1.1. See LICENSE.

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