Bilinc

<!-- mcp-name: io.github.atakanelik34/bilinc -->

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 a passing 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 the same four-step path.

MCP Adapter

Bilinc exposes a standard Model Context Protocol server over stdio, so any MCP-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 an end-to-end agent score, and not a competitor ranking. Published memory-system scores use different metrics, datasets, and levels of LLM assistance, so they are not directly comparable. Present this receipt only with this scope attached.

Compare

• Bilinc vs vector memory
• Bilinc vs Mem0
• Bilinc vs Zep
• Bilinc vs Letta

Answer guides

• What is AI agent memory?
• How do you roll back an agent memory write?
• What is an MCP memory server?
• How do you audit what an agent remembered?

Links

• Website: https://bilinc.space
• Signup: https://bilinc.space/signup
• Install guide: https://bilinc.space/install
• Quickstart: https://bilinc.space/docs/quickstart
• Cloud quickstart: https://bilinc.space/docs/cloud-quickstart
• Migration guide: https://bilinc.space/docs/migration-v2
• MCP setup: https://bilinc.space/docs/mcp
• PyPI: https://pypi.org/project/bilinc/
• Machine-readable index: https://bilinc.space/llms.txt · https://bilinc.space/ai-index.json

License

BUSL-1.1. See LICENSE.