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 (0.27.0)

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Credits

Author: pace

GitHub Statistics

Data verified by PyPI on Aug 18, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python >=3.14

Classifiers

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