3tears Agent Intention

Standing-wants corpus for LLM agents. An intention is agent-authored deliberation output -- a want the agent is holding onto ("ask Pace about the migration", "check whether the wake threads are firing") -- with its own status lifecycle, salience decay, and restraint brakes so the agent surfaces a want at most occasionally rather than every turn.

Part of the 3tears framework.

Installation

pip install 3tears-agent-intention

Why a separate package (not a memory of kind=intention)

Memory is a hard-delete-only user-fact taxonomy with immutable scope columns and no lifecycle. An intention is all lifecycle: open -> asked -> granted / dropped, a partial index for "find the open wants", and a validated status value set. Riding the shared memory_type PG enum would pollute a user-fact taxonomy with an agent-internal control construct and force an irreversible enum add on six consumers.

Enhance-first is still honoured: intention consumes the reusable salience/decay substrate the agent/memory enhancement built (the same salience column shape and the shared apply_salience_decay helper), rather than reinventing it.

Components

intentions table

Partition on agent_id; composite PK (agent_id, intention_id); CAS on date_updated (mirrors memory). Columns: status (PG enum intention_status), content, embedding (pgvector 1024, for dedup on log), salience (NUMERIC(5,4), reuses the decay substrate), last_decayed_at (decay anchor), last_surfaced_at (cooldown anchor), source_memory_id / source_conversation_id (soft-ref provenance, no FK).

User isolation is a user_id WHERE clause, not RBAC

Every metallm user shares one agent_id, so the partition isolates nothing and the agent-owner RBAC short-circuit sees every want. user_id is the only boundary: the collection's user-facing reads take user_id as a required parameter, and every consumer read filters on it.

Versioning policy

The package version moves in lockstep with the rest of the 3tears monorepo -- every package tracks the framework git tag.

Project links

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  • Released:
Newer release available (0.23.3)

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Credits

Author: pace

GitHub Statistics

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License expression

MIT
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Requires

Python >=3.14

Classifiers

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